Decentralized policies for geometric pattern formation. - Marco Pavone 001; Emilio Frazzoli (ACC, 2007)

Decentralized algorithms for stochastic and dynamic vehicle routing with general demand distribution. - Marco Pavone 001; Emilio Frazzoli; Francesco Bullo (CDC, 2007)

Decentralized vehicle routing in a stochastic and dynamic environment with customer impatience. - Marco Pavone 001; Nabhendra Bisnik; Emilio Frazzoli; Volkan Isler (ROBOCOMM, 2007)

Distributed policies for equitable partitioning: Theory and applications. - Marco Pavone 001; Emilio Frazzoli; Francesco Bullo (CDC, 2008)

Dynamic vehicle routing with heterogeneous demands. - Stephen L. Smith 001; Marco Pavone 001; Francesco Bullo; Emilio Frazzoli (CDC, 2008)

Dynamic multi-vehicle routing with multiple classes of demands. - Marco Pavone 001; Stephen L. Smith 001; Francesco Bullo; Emilio Frazzoli (ACC, 2009)

Distributed control of spacecraft formation via cyclic pursuit: Theory and experiments. - Jaime L. Ramirez; Marco Pavone 001; Emilio Frazzoli; David W. Miller (ACC, 2009)

Equitable partitioning policies for robotic networks. - Marco Pavone 001; Alessandro Arsie; Emilio Frazzoli; Francesco Bullo (ICRA, 2009)

Distributed and Adaptive Algorithms for Vehicle Routing in a Stochastic and Dynamic Environment - Marco Pavone 001; Emilio Frazzoli; Francesco Bullo (CoRR, 2009)

Equitable Partitioning Policies for Mobile Robotic Networks - Marco Pavone 001; Alessandro Arsie; Emilio Frazzoli; Francesco Bullo (CoRR, 2009)

A Stochastic and Dynamic Vehicle Routing Problem with Time Windows and Customer Impatience. - Marco Pavone 001; Nabhendra Bisnik; Emilio Frazzoli; Volkan Isler (Mob. Networks Appl., 2009)

Sharing the load. - Marco Pavone 001; Ketan Savla; Emilio Frazzoli (IEEE Robotics Autom. Mag., 2009)

Fundamental performance limits and efficient polices for Transportation-On-Demand systems. - Marco Pavone 001; Kyle Treleaven; Emilio Frazzoli (CDC, 2010)

Dynamic vehicle routing with stochastic time constraints. - Marco Pavone 001; Emilio Frazzoli (ICRA, 2010)

Dynamic Vehicle Routing with Priority Classes of Stochastic Demands. - Stephen L. Smith 001; Marco Pavone 001; Francesco Bullo; Emilio Frazzoli (SIAM J. Control. Optim., 2010)

An asymptotically optimal algorithm for pickup and delivery problems. - Kyle Treleaven; Marco Pavone 001; Emilio Frazzoli (CDC/ECC, 2011)

Load Balancing for Mobility-on-Demand Systems. - Marco Pavone 001; Stephen L. Smith 001; Emilio Frazzoli; Daniela Rus (Robotics: Science and Systems, 2011)

Dynamic Vehicle Routing for Robotic Systems. - Francesco Bullo; Emilio Frazzoli; Marco Pavone 001; Ketan Savla; Stephen L. Smith 001 (Proc. IEEE, 2011)

Distributed Algorithms for Environment Partitioning in Mobile Robotic Networks. - Marco Pavone 001; Alessandro Arsie; Emilio Frazzoli; Francesco Bullo (IEEE Trans. Autom. Control., 2011)

Adaptive and Distributed Algorithms for Vehicle Routing in a Stochastic and Dynamic Environment. - Marco Pavone 001; Emilio Frazzoli; Francesco Bullo (IEEE Trans. Autom. Control., 2011)

Cost bounds for Pickup and Delivery Problems with application to large-scale transportation systems. - Kyle Treleaven; Marco Pavone 001; Emilio Frazzoli (ACC, 2012)

A risk-constrained multi-stage decision making approach to the architectural analysis of planetary missions. - Yoshiaki Kuwata; Marco Pavone 001; J. Balaram (CDC, 2012)

Models and efficient algorithms for pickup and delivery problems on roadmaps. - Kyle Treleaven; Marco Pavone 001; Emilio Frazzoli (CDC, 2012)

Asymptotically Optimal Algorithms for Pickup and Delivery Problems with Application to Large-Scale Transportation Systems - Kyle Treleaven; Marco Pavone 001; Emilio Frazzoli (CoRR, 2012)

Robotic load balancing for mobility-on-demand systems. - Marco Pavone 001; Stephen L. Smith 001; Emilio Frazzoli; Daniela Rus (Int. J. Robotics Res., 2012)

Decentralized decision-making on robotic networks with hybrid performance metrics. - Federico Rossi 001; Marco Pavone 001 (Allerton, 2013)

Stochastic optimal control with dynamic, time-consistent risk constraints. - Yin-Lam Chow; Marco Pavone 001 (ACC, 2013)

Rebalancing the rebalancers: optimally routing vehicles and drivers in mobility-on-demand systems. - Stephen L. Smith 001; Marco Pavone 001; Mac Schwager; Emilio Frazzoli; Daniela Rus (ACC, 2013)

A uniform-grid discretization algorithm for stochastic optimal control with risk constraints. - Yin-Lam Chow; Marco Pavone 001 (CDC, 2013)

Internally-actuated rovers for all-access surface mobility: Theory and experimentation. - Ross E. Allen; Marco Pavone 001; Christopher McQuin; Issa A. D. Nesnas; Julie C. Castillo-Rogez; Tam-Nguyen Nguyen; Jeffrey A. Hoffman (ICRA, 2013)

Fast Marching Trees: A Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions. - Lucas Janson; Marco Pavone 001 (ISRR, 2013)

Fast Marching Trees: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions - Extended Version. - Lucas Janson; Marco Pavone 001 (CoRR, 2013)

Asymptotically Optimal Algorithms for One-to-One Pickup and Delivery Problems With Applications to Transportation Systems. - Kyle Treleaven; Marco Pavone 001; Emilio Frazzoli (IEEE Trans. Autom. Control., 2013)

Distributed consensus with mixed time/communication bandwidth performance metrics. - Federico Rossi 001; Marco Pavone 001 (Allerton, 2014)

A framework for time-consistent, risk-averse model predictive control: Theory and algorithms. - Yin-Lam Chow; Marco Pavone 001 (ACC, 2014)

On the fundamental limitations of performance for distributed decision-making in robotic networks. - Federico Rossi 001; Marco Pavone 001 (CDC, 2014)

A dynamical characterization of internally-actuated microgravity mobility systems. - Adam W. Koenig; Marco Pavone 001; Julie C. Castillo-Rogez; Issa A. D. Nesnas (ICRA, 2014)

A machine learning approach for real-time reachability analysis. - Ross E. Allen; Ashley A. Clark; Joseph A. Starek; Marco Pavone 001 (IROS, 2014)

Rapid multirobot deployment with time constraints. - Stefano Carpin; Marco Pavone 001; Brian M. Sadler (IROS, 2014)

A queueing network approach to the analysis and control of mobility-on-demand systems. - Rick Zhang; Marco Pavone 001 (ACC, 2015)

Models, algorithms, and evaluation for autonomous mobility-on-demand systems. - Rick Zhang; Kevin Spieser; Emilio Frazzoli; Marco Pavone 001 (ACC, 2015)

Optimal sampling-based motion planning under differential constraints: The drift case with linear affine dynamics. - Edward Schmerling; Lucas Janson; Marco Pavone 001 (CDC, 2015)

A convex optimization approach to smooth trajectories for motion planning with car-like robots. - Zhijie Zhu; Edward Schmerling; Marco Pavone 001 (CDC, 2015)

Design, Control, and Experimentation of Internally-Actuated Rovers for the Exploration of Low-Gravity Planetary Bodies. - Benjamin J. Hockman; Andreas Frick; Issa A. D. Nesnas; Marco Pavone 001 (FSR, 2015)

Toward a real-time framework for solving the kinodynamic motion planning problem. - Ross E. Allen; Marco Pavone 001 (ICRA, 2015)

Optimal sampling-based motion planning under differential constraints: The driftless case. - Edward Schmerling; Lucas Janson; Marco Pavone 001 (ICRA, 2015)

Decentralized algorithms for 3D symmetric formations in robotic networks - a contraction theory approach. - Sumeet Singh; Edward Schmerling; Marco Pavone 001 (ICRA, 2015)

An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning. - Joseph A. Starek; Javier V. Gómez; Edward Schmerling; Lucas Janson; Luis Moreno 001; Marco Pavone 001 (IROS, 2015)

Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty. - Lucas Janson; Edward Schmerling; Marco Pavone 001 (ISRR (2), 2015)

Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach. - Yinlam Chow; Aviv Tamar; Shie Mannor; Marco Pavone 001 (NIPS, 2015)

Chance-constrained dynamic programming with application to risk-aware robotic space exploration. - Masahiro Ono; Marco Pavone 001; Yoshiaki Kuwata; J. Balaram (Auton. Robots, 2015)

Guest Editorial: Special issue on constrained decision-making in robotics. - Marco Pavone 001; Stefano Carpin (Auton. Robots, 2015)

Trading Safety Versus Performance: Rapid Deployment of Robotic Swarms with Robust Performance Constraints. - Yinlam Chow; Marco Pavone 001; Brian M. Sadler; Stefano Carpin (CoRR, 2015)

Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions. - Lucas Janson; Edward Schmerling; Ashley A. Clark; Marco Pavone 001 (Int. J. Robotics Res., 2015)

Multi-vehicle Routing. - Emilio Frazzoli; Marco Pavone 001 (Encyclopedia of Systems and Control, 2015)

Autonomous calibration of MEMS disk resonating gyroscope for improved sensor performance. - Ian B. Flader; Chae H. Ahn; Dustin D. Gerrard; Eldwin Jiaqiang Ng; Yushi Yang; Vu A. Hong; Marco Pavone 001; Thomas W. Kenny (ACC, 2016)

Risk aversion in finite Markov Decision Processes using total cost criteria and average value at risk. - Stefano Carpin; Yinlam Chow; Marco Pavone 001 (ICRA, 2016)

Simultaneous model identification and task satisfaction in the presence of temporal logic constraints. - Sandeep P. Chinchali; Scott C. Livingston; Marco Pavone 001; Joel W. Burdick (ICRA, 2016)

Free-flyer acquisition of spinning objects with gecko-inspired adhesives. - Matthew A. Estrada; Benjamin J. Hockman; Andrew Bylard; Elliot Wright Hawkes; Mark R. Cutkosky; Marco Pavone 001 (ICRA, 2016)

Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming. - Zachary N. Sunberg; Mykel J. Kochenderfer; Marco Pavone 001 (ICRA, 2016)

Model predictive control of autonomous mobility-on-demand systems. - Rick Zhang; Federico Rossi 001; Marco Pavone 001 (ICRA, 2016)

Experimental Methods for Mobility and Surface Operations of Microgravity Robots. - Benjamin J. Hockman; Robert G. Reid; Issa A. D. Nesnas; Marco Pavone 001 (ISER, 2016)

Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms. - Rick Zhang; Federico Rossi 001; Marco Pavone 001 (Robotics: Science and Systems, 2016)

Mixed Strategy for Constrained Stochastic Optimal Control. - Masahiro Ono; Mahmoud El Chamie; Marco Pavone 001; Behçet Açikmese (CoRR, 2016)

Autonomous Vehicle Routing in Congested Road Networks. - Federico Rossi 001; Rick Zhang; Marco Pavone 001 (CoRR, 2016)

Fast, Safe, and Propellant-Efficient Spacecraft Planning under Clohessy-Wiltshire-Hill Dynamics. - Joseph A. Starek; Edward Schmerling; Gabriel D. Maher; Brent W. Barbee; Marco Pavone 001 (CoRR, 2016)

Optimized and Trusted Collision Avoidance for Unmanned Aerial Vehicles using Approximate Dynamic Programming (Technical Report). - Zachary N. Sunberg; Mykel J. Kochenderfer; Marco Pavone 001 (CoRR, 2016)

Control of robotic mobility-on-demand systems: A queueing-theoretical perspective. - Rick Zhang; Marco Pavone 001 (Int. J. Robotics Res., 2016)

Flying Smartphones: When Portable Computing Sprouts Wings. - Ross E. Allen; Marco Pavone 001; Mac Schwager (IEEE Pervasive Comput., 2016)

The risk-sensitive coverage problem: Multi-robot routing under uncertainty with service level and survival constraints. - Stefan Jorgensen; Robert H. Chen; Mark B. Milam; Marco Pavone 001 (CDC, 2017)

Trajectory Optimization for Dynamic Grasping in Space Using Adhesive Grippers. - Roshena MacPherson; Benjamin J. Hockman; Andrew Bylard; Matthew A. Estrada; Mark R. Cutkosky; Marco Pavone 001 (FSR, 2017)

Force and moment constraints of a curved surface gripper and wrist for assistive free flyers. - Matthew A. Estrada; Hao Jiang 002; Bessie Noll; Elliot Wright Hawkes; Marco Pavone 001; Mark R. Cutkosky (ICRA, 2017)

Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs. - Brian Ichter; Edward Schmerling; Ali-akbar Agha-mohammadi; Marco Pavone 001 (ICRA, 2017)

Robust online motion planning via contraction theory and convex optimization. - Sumeet Singh; Anirudha Majumdar; Jean-Jacques E. Slotine; Marco Pavone 001 (ICRA, 2017)

Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs. - Brian Ichter; Edward Schmerling; Marco Pavone 001 (IRC, 2017)

The Team Surviving Orienteers Problem: Routing Robots in Uncertain Environments with Survival Constraints. - Stefan Jorgensen; Robert H. Chen; Mark B. Milam; Marco Pavone 001 (IRC, 2017)

The Matroid Team Surviving Orienteers problem: Constrained routing of heterogeneous teams with risky traversal. - Stefan Jorgensen; Robert H. Chen; Mark B. Milam; Marco Pavone 001 (IROS, 2017)

Multi-objective Optimal Control for Proactive Decision Making with Temporal Logic Models. - Sandeep P. Chinchali; Scott C. Livingston; Marco Pavone 001 (ISRR, 2017)

AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems. - James Harrison; Animesh Garg; Boris Ivanovic; Yuke Zhu; Silvio Savarese; Li Fei-Fei 001; Marco Pavone 001 (ISRR, 2017)

Stochastic Motion Planning for Hopping Rovers on Small Solar System Bodies. - Benjamin J. Hockman; Marco Pavone 001 (ISRR, 2017)

Perception-Aware Motion Planning via Multiobjective Search on GPUs. - Brian Ichter; Benoit Landry; Edward Schmerling; Marco Pavone 001 (ISRR, 2017)

How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics. - Anirudha Majumdar; Marco Pavone 001 (ISRR, 2017)

Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models. - Anirudha Majumdar; Sumeet Singh; Ajay Mandlekar; Marco Pavone 001 (Robotics: Science and Systems, 2017)

Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning. - Edward Schmerling; Marco Pavone 001 (Robotics: Science and Systems, 2017)

Special issue on selected and extended papers from SIMPAR 2016. - Torsten Kröger; Samir Menon; Katja D. Mombaur; Hanna Kurniawati; Marco Pavone 001 (Adv. Robotics, 2017)

A Framework for Time-Consistent, Risk-Averse Model Predictive Control: Theory and Algorithms. - Yin-Lam Chow; Sumeet Singh; Anirudha Majumdar; Marco Pavone 001 (CoRR, 2017)

Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs. - Brian Ichter; Benoit Landry; Edward Schmerling; Marco Pavone 001 (CoRR, 2017)

Design, Control, and Experimentation of Internally-Actuated Rovers for the Exploration of Low-gravity Planetary Bodies. - Benjamin J. Hockman; Andreas Frick; Robert G. Reid; Issa A. D. Nesnas; Marco Pavone 001 (J. Field Robotics, 2017)

Risk-Constrained Reinforcement Learning with Percentile Risk Criteria. - Yinlam Chow; Mohammad Ghavamzadeh; Lucas Janson; Marco Pavone 001 (J. Mach. Learn. Res., 2017)

Cellular Network Traffic Scheduling With Deep Reinforcement Learning. - Sandeep Chinchali; Pan Hu 003; Tianshu Chu; Manu Sharma; Manu Bansal; Rakesh Misra; Marco Pavone 001; Sachin Katti (AAAI, 2018)

Reach-Avoid Games Via Mixed-Integer Second-Order Cone Programming. - Joseph Lorenzetti; Mo Chen 001; Benoit Landry; Marco Pavone 001 (CDC, 2018)

Robust Visual Localization for Hopping Rovers on Small Bodies. - Sebastiano Chiodini; Robert G. Reid; Benjamin J. Hockman; Issa A. D. Nesnas; Stefano Debei; Marco Pavone 001 (ICRA, 2018)

Learning Sampling Distributions for Robot Motion Planning. - Brian Ichter; James Harrison; Marco Pavone 001 (ICRA, 2018)

Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems. - Ramón Iglesias; Federico Rossi 001; Kevin Wang; David Hallac; Jure Leskovec; Marco Pavone 001 (ICRA, 2018)

Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction. - Edward Schmerling; Karen Leung; Wolf Vollprecht; Marco Pavone 001 (ICRA, 2018)

Cooperative Object Transport in 3D with Multiple Quadrotors Using No Peer Communication. - Zijian Wang 003; Sumeet Singh; Marco Pavone 001; Mac Schwager (ICRA, 2018)

Generative Modeling of Multimodal Multi-Human Behavior. - Boris Ivanovic; Edward Schmerling; Karen Leung; Marco Pavone 001 (IROS, 2018)

Reach-Avoid Problems via Sum-or-Squares Optimization and Dynamic Programming. - Benoit Landry; Mo Chen 001; Scott Hemley; Marco Pavone 001 (IROS, 2018)

On Infusing Reachability-Based Safety Assurance Within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions. - Karen Leung; Edward Schmerling; Mo Chen 001; John Talbot; J. Christian Gerdes; Marco Pavone 001 (ISER, 2018)

On the Interaction between Autonomous Mobility-on-Demand and Public Transportation Systems. - Mauro Salazar; Federico Rossi 001; Maximilian Schiffer; Christopher Harald Onder; Marco Pavone 001 (ITSC, 2018)

Stochastic Model Predictive Control for Autonomous Mobility on Demand. - Matthew Tsao; Ramón Iglesias; Marco Pavone 001 (ITSC, 2018)

Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies. - Lucas Janson; Tommy Hu; Marco Pavone 001 (Robotics: Science and Systems, 2018)

Signal Temporal Logic Meets Reachability: Connections and Applications. - Mo Chen 001; Qizhan Tam; Scott C. Livingston; Marco Pavone 001 (WAFR, 2018)

Meta-learning Priors for Efficient Online Bayesian Regression. - James Harrison; Apoorva Sharma; Marco Pavone 001 (WAFR, 2018)

Robust Tracking with Model Mismatch for Fast and Safe Planning: An SOS Optimization Approach. - Sumeet Singh; Mo Chen 001; Sylvia L. Herbert; Claire J. Tomlin; Marco Pavone 001 (WAFR, 2018)

Learning Stabilizable Dynamical Systems via Control Contraction Metrics. - Sumeet Singh; Vikas Sindhwani; Jean-Jacques E. Slotine; Marco Pavone 001 (WAFR, 2018)

The Team Surviving Orienteers problem: routing teams of robots in uncertain environments with survival constraints. - Stefan Jorgensen; Robert H. Chen; Mark B. Milam; Marco Pavone 001 (Auton. Robots, 2018)

Routing autonomous vehicles in congested transportation networks: structural properties and coordination algorithms. - Federico Rossi 001; Rick Zhang; Yousef Hindy; Marco Pavone 001 (Auton. Robots, 2018)

Review of Multi-Agent Algorithms for Collective Behavior: a Structural Taxonomy. - Federico Rossi 001; Saptarshi Bandyopadhyay; Michael T. Wolf; Marco Pavone 001 (CoRR, 2018)

Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming. - Benoit Landry; Mo Chen 001; Scott Hemley; Marco Pavone 001 (CoRR, 2018)

Modeling Multimodal Dynamic Spatiotemporal Graphs. - Boris Ivanovic; Marco Pavone 001 (CoRR, 2018)

Deterministic sampling-based motion planning: Optimality, complexity, and performance. - Lucas Janson; Brian Ichter; Marco Pavone 001 (Int. J. Robotics Res., 2018)

Risk-sensitive inverse reinforcement learning via semi- and non-parametric methods. - Sumeet Singh; Jonathan Lacotte; Anirudha Majumdar; Marco Pavone 001 (Int. J. Robotics Res., 2018)

Robust and Adaptive Planning under Model Uncertainty. - Apoorva Sharma; James Harrison; Matthew Tsao; Marco Pavone 001 (ICAPS, 2019)

Risk-Sensitive Generative Adversarial Imitation Learning. - Jonathan Lacotte; Mohammad Ghavamzadeh; Yinlam Chow; Marco Pavone 001 (AISTATS, 2019)

A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems. - Margaret P. Chapman; Jonathan Lacotte; Aviv Tamar; Donggun Lee; Kevin M. Smith; Victoria Cheng; Jaime F. Fisac; Susmit Jha; Marco Pavone 001; Claire J. Tomlin (ACC, 2019)

Beyond The Force: Using Quadcopters to Appropriate Objects and the Environment for Haptics in Virtual Reality. - Parastoo Abtahi; Benoit Landry; Jackie (Junrui) Yang; Marco Pavone 001; Sean Follmer; James A. Landay (CHI, 2019)

Reduced Order Model Predictive Control For Setpoint Tracking. - Joseph Lorenzetti; Benoit Landry; Sumeet Singh; Marco Pavone 001 (ECC, 2019)

A Congestion-aware Routing Scheme for Autonomous Mobility-on-Demand Systems. - Mauro Salazar; Matthew Tsao; Izabel Aguiar; Maximilian Schiffer; Marco Pavone 001 (ECC, 2019)

The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs. - Boris Ivanovic; Marco Pavone 001 (ICCV, 2019)

GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming. - Riccardo Bonalli; Abhishek Cauligi; Andrew Bylard; Marco Pavone 001 (ICRA, 2019)

BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning. - Boris Ivanovic; James Harrison; Apoorva Sharma; Mo Chen 001; Marco Pavone 001 (ICRA, 2019)

Model Predictive Control of Ride-sharing Autonomous Mobility-on-Demand Systems. - Matthew Tsao; Dejan Milojevic; Claudio Ruch; Mauro Salazar; Emilio Frazzoli; Marco Pavone 001 (ICRA, 2019)

Bilevel Optimization for Planning Through Contact: A Semidirect Method. - Benoit Landry; Joseph Lorenzetti; Zachary Manchester; Marco Pavone 001 (ISRR, 2019)

Optimal Routing and Energy Management Strategies for Plug-in Hybrid Electric Vehicles. - Mauro Salazar; Arian Houshmand; Christos G. Cassandras; Marco Pavone 001 (ITSC, 2019)

A Model Predictive Control Scheme for Intermodal Autonomous Mobility-on-Demand. - Jannik Zgraggen; Matthew Tsao; Mauro Salazar; Maximilian Schiffer; Marco Pavone 001 (ITSC, 2019)

Backpropagation for Parametric STL. - Karen Leung; Nikos Aréchiga; Marco Pavone 001 (IV, 2019)

High-Dimensional Optimization in Adaptive Random Subspaces. - Jonathan Lacotte; Mert Pilanci; Marco Pavone 001 (NeurIPS, 2019)

Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach. - Riccardo Bonalli; Abhishek Cauligi; Andrew Bylard; Thomas Lew; Marco Pavone 001 (Robotics: Science and Systems, 2019)

A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization. - Benoit Landry; Zachary Manchester; Marco Pavone 001 (Robotics: Science and Systems, 2019)

Scalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe Optimization. - Kiril Solovey; Mauro Salazar; Marco Pavone 001 (Robotics: Science and Systems, 2019)

On the Interaction between Autonomous Mobility on Demand Systems and Power Distribution Networks - An Optimal Power Flow Approach. - Alvaro Estandia; Maximilian Schiffer; Federico Rossi 001; Emre Can Kara; Ram Rajagopal; Marco Pavone 001 (CoRR, 2019)

Towards a Co-Design Framework for Future Mobility Systems. - Gioele Zardini; Nicolas Lanzetti; Mauro Salazar; Andrea Censi; Emilio Frazzoli; Marco Pavone 001 (CoRR, 2019)

Multi-objective optimal control for proactive decision making with temporal logic models. - Sandeep P. Chinchali; Scott C. Livingston; Mo Chen 001; Marco Pavone 001 (Int. J. Robotics Res., 2019)

A BCMP network approach to modeling and controlling autonomous mobility-on-demand systems. - Ramón Iglesias; Federico Rossi 001; Rick Zhang; Marco Pavone 001 (Int. J. Robotics Res., 2019)

Robot Motion Planning in Learned Latent Spaces. - Brian Ichter; Marco Pavone 001 (IEEE Robotics Autom. Lett., 2019)

A real-time framework for kinodynamic planning in dynamic environments with application to quadrotor obstacle avoidance. - Ross E. Allen; Marco Pavone 001 (Robotics Auton. Syst., 2019)

A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms. - Sumeet Singh; Yinlam Chow; Anirudha Majumdar; Marco Pavone 001 (IEEE Trans. Autom. Control., 2019)

Analysis, Control, and Evaluation of Mobility-on-Demand Systems: A Queueing-Theoretical Approach. - Rick Zhang; Federico Rossi 001; Marco Pavone 001 (IEEE Trans. Control. Netw. Syst., 2019)

StanfordASL/pamod 1.0.1. - Federico Rossi 001; Ramón Iglesias; Mahnoosh Alizadeh; Marco Pavone 001 (Zenodo, 2019)

A Vehicle Coordination and Charge Scheduling Algorithm for Electric Autonomous Mobility-on-Demand Systems. - Felix Boewing; Maximilian Schiffer; Mauro Salazar; Marco Pavone 001 (ACC, 2020)

Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. - Abhishek Cauligi; Preston Culbertson; Bartolomeo Stellato; Dimitris Bertsimas; Mac Schwager; Marco Pavone 001 (CDC, 2020)

Counter-example guided synthesis of neural network Lyapunov functions for piecewise linear systems. - Hongkai Dai; Benoit Landry; Marco Pavone 001; Russ Tedrake (CDC, 2020)

Error Bounds for Reduced Order Model Predictive Control. - Joseph Lorenzetti; Marco Pavone 001 (CDC, 2020)

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. - Boris Ivanovic; Amine Elhafsi; Guy Rosman; Adrien Gaidon; Marco Pavone 001 (CoRL, 2020)

Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling. - Thomas Lew; Marco Pavone 001 (CoRL, 2020)

Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data. - Tim Salzmann; Boris Ivanovic; Punarjay Chakravarty; Marco Pavone 001 (ECCV (18), 2020)

Exploiting Locality and Structure for Distributed Optimization in Multi-Agent Systems. - Robin A. Brown; Federico Rossi 001; Kiril Solovey; Michael T. Wolf; Marco Pavone 001 (ECC, 2020)

Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization. - Thomas Lew; Riccardo Bonalli; Marco Pavone 001 (ECC, 2020)

A Simple and Efficient Tube-based Robust Output Feedback Model Predictive Control Scheme. - Joseph Lorenzetti; Marco Pavone 001 (ECC, 2020)

Joint Design and Control of Electric Vehicle Propulsion Systems. - Frans J. R. Verbruggen; Mauro Salazar; Marco Pavone 001; Theo Hofman (ECC, 2020)

Map-Predictive Motion Planning in Unknown Environments. - Amine Elhafsi; Boris Ivanovic; Lucas Janson; Marco Pavone 001 (ICRA, 2020)

Revisiting the Asymptotic Optimality of RRT. - Kiril Solovey; Lucas Janson; Edward Schmerling; Emilio Frazzoli; Marco Pavone 001 (ICRA, 2020)

Sample Complexity of Probabilistic Roadmaps via ε-nets. - Matthew Tsao; Kiril Solovey; Marco Pavone 001 (ICRA, 2020)

Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction. - Haruki Nishimura; Boris Ivanovic; Adrien Gaidon; Marco Pavone 001; Mac Schwager (IROS, 2020)

Infusing Reachability-Based Safety into Planning and Control for Multi-agent Interactions. - Xinrui Wang; Karen Leung; Marco Pavone 001 (IROS, 2020)

Sampling Training Data for Continual Learning Between Robots and the Cloud. - Sandeep Chinchali; Evgenya Pergament; Manabu Nakanoya; Eyal Cidon; Edward Zhang; Dinesh Bharadia; Marco Pavone 001; Sachin Katti (ISER, 2020)

Interpretable Policies from Formally-Specified Temporal Properties. - Jonathan A. DeCastro; Karen Leung; Nikos Aréchiga; Marco Pavone 001 (ITSC, 2020)

Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic. - Salomón Wollenstein-Betech; Arian Houshmand; Mauro Salazar; Marco Pavone 001; Christos G. Cassandras; Ioannis Ch. Paschalidis (ITSC, 2020)

On the Co-Design of AV-Enabled Mobility Systems. - Gioele Zardini; Nicolas Lanzetti; Mauro Salazar; Andrea Censi; Emilio Frazzoli; Marco Pavone 001 (ITSC, 2020)

Continuous Meta-Learning without Tasks. - James Harrison; Apoorva Sharma; Chelsea Finn; Marco Pavone 001 (NeurIPS, 2020)

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders. - Masha Itkina; Boris Ivanovic; Ransalu Senanayake; Mykel J. Kochenderfer; Marco Pavone 001 (NeurIPS, 2020)

Markets for Efficient Public Good Allocation with Social Distancing. - Devansh Jalota; Marco Pavone 001; Qi Qi 003; Yinyu Ye 001 (WINE, 2020)

Online Hypergraph Matching with Delays. - Marco Pavone 001; Amin Saberi; Maximilian Schiffer; Matthew Tsao (WINE, 2020)

Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control. - Tim Salzmann; Boris Ivanovic; Punarjay Chakravarty; Marco Pavone 001 (CoRR, 2020)

Shapeshifter: A Multi-Agent, Multi-Modal Robotic Platform for Exploration of Titan. - Andrea Tagliabue; Stephanie Schneider; Marco Pavone 001; Ali-akbar Agha-mohammadi (CoRR, 2020)

On Local Computation for Optimization in Multi-Agent Systems. - Robin A. Brown; Federico Rossi 001; Kiril Solovey; Michael T. Wolf; Marco Pavone 001 (CoRR, 2020)

On the Co-Design of AV-Enabled Mobility Systems. - Gioele Zardini; Nicolas Lanzetti; Andrea Censi; Emilio Frazzoli; Marco Pavone 001 (CoRR, 2020)

The Shapeshifter: a Morphing, Multi-Agent, Multi-Modal Robotic Platform for the Exploration of Titan (preprint version). - Ali-akbar Agha-mohammadi; Andrea Tagliabue; Stephanie Schneider; Benjamin Morrell; Marco Pavone 001; Jason Hofgartner; Issa A. D. Nesnas; Rashied B. Amini; Arash Kalantari; Alessandra Babuscia; Jonathan I. Lunine (CoRR, 2020)

Soft Tensegrity Systems for Planetary Landing and Exploration. - Kévin Garanger; Isaac del Valle; Miriam Rath; Matthew Krajewski; Utkarsh Raheja; Marco Pavone 001; Julian J. Rimoli (CoRR, 2020)

Markets for Efficient Public Good Allocation. - Devansh Jalota; Marco Pavone 001; Yinyu Ye 001 (CoRR, 2020)

Planning and Operations of Mixed Fleets in Mobility-on-Demand Systems. - Kaidi Yang; Matthew W. Tsao; Xin Xu; Marco Pavone 001 (CoRR, 2020)

Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework. - Thomas Lew; Apoorva Sharma; James Harrison; Marco Pavone 001 (CoRR, 2020)

Sequential Convex Programming For Non-Linear Stochastic Optimal Control. - Riccardo Bonalli; Thomas Lew; Marco Pavone 001 (CoRR, 2020)

Design and Development of a Gecko-Adhesive Gripper for the Astrobee Free-Flying Robot. - Abhishek Cauligi; Tony G. Chen; Srinivasan A. Suresh; Michael Dille; Ruben Garcia Ruiz; Andres Mora Vargas; Marco Pavone 001; Mark R. Cutkosky (CoRR, 2020)

Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics. - Somrita Banerjee; James Harrison; P. Michael Furlong; Marco Pavone 001 (CoRR, 2020)

Task-relevant Representation Learning for Networked Robotic Perception. - Manabu Nakanoya; Sandeep Chinchali; Alexandros Anemogiannis; Akul Datta; Sachin Katti; Marco Pavone 001 (CoRR, 2020)

On infusing reachability-based safety assurance within planning frameworks for human-robot vehicle interactions. - Karen Leung; Edward Schmerling; Mengxuan Zhang 002; Mo Chen 001; John Talbot; J. Christian Gerdes; Marco Pavone 001 (Int. J. Robotics Res., 2020)

On the Interaction Between Autonomous Mobility-on-Demand Systems and the Power Network: Models and Coordination Algorithms. - Federico Rossi 001; Ramón Iglesias; Mahnoosh Alizadeh; Marco Pavone 001 (IEEE Trans. Control. Netw. Syst., 2020)

Intermodal Autonomous Mobility-on-Demand. - Mauro Salazar; Nicolas Lanzetti; Federico Rossi 001; Maximilian Schiffer; Marco Pavone 001 (IEEE Trans. Intell. Transp. Syst., 2020)

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems. - Daniele Gammelli; Kaidi Yang; James Harrison; Filipe Rodrigues 001; Francisco C. Pereira; Marco Pavone 001 (CDC, 2021)

Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems. - Andrew Bylard; Riccardo Bonalli; Marco Pavone 001 (ICRA, 2021)

Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions. - Simon Schaefer; Karen Leung; Boris Ivanovic; Marco Pavone 001 (ICRA, 2021)

Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition. - Kiril Solovey; Saptarshi Bandyopadhyay; Federico Rossi 001; Michael T. Wolf; Marco Pavone 001 (ICRA, 2021)

Soft Robot Optimal Control Via Reduced Order Finite Element Models. - Sander Tonkens; Joseph Lorenzetti; Marco Pavone 001 (ICRA, 2021)

Particle MPC for Uncertain and Learning-Based Control. - Robert Dyro; James Harrison; Apoorva Sharma; Marco Pavone 001 (IROS, 2021)

Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting. - Justin Luke; Mauro Salazar; Ram Rajagopal; Marco Pavone 001 (ITSC, 2021)

Real-Time Control of Mixed Fleets in Mobility-on-Demand Systems. - Kaidi Yang; Matthew W. Tsao; Xin Xu; Marco Pavone 001 (ITSC, 2021)

SEAGuL: Sample Efficient Adversarially Guided Learning of Value Functions. - Benoit Landry; Hongkai Dai; Marco Pavone 001 (L4DC, 2021)

Data Sharing and Compression for Cooperative Networked Control. - Jiangnan Cheng; Marco Pavone 001; Sachin Katti; Sandeep Chinchali; Ao Tang (NeurIPS, 2021)

Lyapunov-stable neural-network control. - Hongkai Dai; Benoit Landry; Lujie Yang; Marco Pavone 001; Russ Tedrake (Robotics: Science and Systems, 2021)

Co-Design of Communication and Machine Inference for Cloud Robotics. - Manabu Nakanoya; Sandeep Chinchali; Alexandros Anemogiannis; Akul Datta; Sachin Katti; Marco Pavone 001 (Robotics: Science and Systems, 2021)

Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems. - Spencer M. Richards; Navid Azizan; Jean-Jacques E. Slotine; Marco Pavone 001 (Robotics: Science and Systems, 2021)

Sketching curvature for efficient out-of-distribution detection for deep neural networks. - Apoorva Sharma; Navid Azizan; Marco Pavone 001 (UAI, 2021)

Back-Propagation Through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods. - Karen Leung; Nikos Aréchiga; Marco Pavone 001 (WAFR, 2021)

Network offloading policies for cloud robotics: a learning-based approach. - Sandeep Chinchali; Apoorva Sharma; James Harrison; Amine Elhafsi; Daniel Kang; Evgenya Pergament; Eyal Cidon; Sachin Katti; Marco Pavone 001 (Auton. Robots, 2021)

Multi-Agent Algorithms for Collective Behavior: A structural and application-focused atlas. - Federico Rossi 001; Saptarshi Bandyopadhyay; Michael T. Wolf; Marco Pavone 001 (CoRR, 2021)

Balancing Fairness and Efficiency in Traffic Routing via Interpolated Traffic Assignment. - Devansh Jalota; Kiril Solovey; Stephen Zoepf; Marco Pavone 001 (CoRR, 2021)

Convex Optimization for Trajectory Generation. - Danylo Malyuta; Taylor P. Reynolds; Michael Szmuk; Thomas Lew; Riccardo Bonalli; Marco Pavone 001; Behçet Açikmese (CoRR, 2021)

Analysis and Control of Autonomous Mobility-on-Demand Systems: A Review. - Gioele Zardini; Nicolas Lanzetti; Marco Pavone 001; Emilio Frazzoli (CoRR, 2021)

Rethinking Trajectory Forecasting Evaluation. - Boris Ivanovic; Marco Pavone 001 (CoRR, 2021)

Towards the Unification and Data-Driven Synthesis of Autonomous Vehicle Safety Concepts. - Andrea Bajcsy; Karen Leung; Edward Schmerling; Marco Pavone 001 (CoRR, 2021)

Vision-based Autonomous Disinfection of High Touch Surfaces in Indoor Environments. - Sean Roelofs; Benoit Landry; Myra Kurosu Jalil; Adrian Martin; Saisneha Koppaka; Sindy K. Y. Tang; Marco Pavone 001 (CoRR, 2021)

Online Traffic Routing: Deterministic Limits and Data-driven Enhancements. - Devansh Jalota; Dario Paccagnan; Maximilian Schiffer; Marco Pavone 001 (CoRR, 2021)

ReachBot: A Small Robot for Large Mobile Manipulation Tasks. - Stephanie Schneider; Andrew Bylard; Tony G. Chen; Preston Wang; Mark R. Cutkosky; Marco Pavone 001 (CoRR, 2021)

On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation. - Thomas Lew; Apoorva Sharma; James Harrison; Edward Schmerling; Marco Pavone 001 (CoRR, 2021)

Personalized Federated Learning of Driver Prediction Models for Autonomous Driving. - Manabu Nakanoya; Junha Im; Hang Qiu 001; Sachin Katti; Marco Pavone 001; Sandeep Chinchali (CoRR, 2021)

Learning stabilizable nonlinear dynamics with contraction-based regularization. - Sumeet Singh; Spencer M. Richards; Vikas Sindhwani; Jean-Jacques E. Slotine; Marco Pavone 001 (Int. J. Robotics Res., 2021)

Efficient Large-Scale Multi-Drone Delivery using Transit Networks. - Shushman Choudhury; Kiril Solovey; Mykel J. Kochenderfer; Marco Pavone 001 (J. Artif. Intell. Res., 2021)

Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach. - Boris Ivanovic; Karen Leung; Edward Schmerling; Marco Pavone 001 (IEEE Robotics Autom. Lett., 2021)

Control Barrier Functions for Cyber-Physical Systems and Applications to NMPC. - Jan Schilliger; Thomas Lew; Spencer M. Richards; Severin Hänggi; Marco Pavone 001; Christopher Harald Onder (IEEE Robotics Autom. Lett., 2021)

On Local Computation for Network-Structured Convex Optimization in Multiagent Systems. - Robin A. Brown; Federico Rossi 001; Kiril Solovey; Matthew Tsao; Michael T. Wolf; Marco Pavone 001 (IEEE Trans. Control. Netw. Syst., 2021)

On the Interaction Between Autonomous Mobility on Demand Systems and Power Distribution Networks - An Optimal Power Flow Approach. - Alvaro Estandia; Maximilian Schiffer; Federico Rossi 001; Justin Luke; Emre Can Kara; Ram Rajagopal; Marco Pavone 001 (IEEE Trans. Control. Netw. Syst., 2021)

A Unified View of SDP-based Neural Network Verification through Completely Positive Programming. - Robin A. Brown; Edward Schmerling; Navid Azizan; Marco Pavone 001 (AISTATS, 2022)

Second-Order Sensitivity Analysis for Bilevel Optimization. - Robert Dyro; Edward Schmerling; Nikos Aréchiga; Marco Pavone 001 (AISTATS, 2022)

Semi-Supervised Trajectory-Feedback Controller Synthesis for Signal Temporal Logic Specifications. - Karen Leung; Marco Pavone 001 (ACC, 2022)

Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty. - Rohan Sinha; James Harrison; Spencer M. Richards; Marco Pavone 001 (ACC, 2022)

Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks. - Shushman Choudhury; Kiril Solovey; Mykel J. Kochenderfer; Marco Pavone 001 (AAMAS, 2022)

Using Spectral Submanifolds for Nonlinear Periodic Control. - Florian Mahlknecht; John Irvin Alora; Shobhit Jain; Edward Schmerling; Riccardo Bonalli; George Haller; Marco Pavone 001 (CDC, 2022)

Robust Trajectory Prediction against Adversarial Attacks. - Yulong Cao; Danfei Xu; Xinshuo Weng; Zhuoqing Mao 001; Anima Anandkumar; Chaowei Xiao; Marco Pavone 001 (CoRL, 2022)

Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles. - Alec Farid; Sushant Veer; Boris Ivanovic; Karen Leung; Marco Pavone 001 (CoRL, 2022)

DiffStack: A Differentiable and Modular Control Stack for Autonomous Vehicles. - Péter Karkus; Boris Ivanovic; Shie Mannor; Marco Pavone 001 (CoRL, 2022)

ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning. - Yuxiao Chen 008; Boris Ivanovic; Marco Pavone 001 (CVPR, 2022)

Motron: Multimodal Probabilistic Human Motion Forecasting. - Tim Salzmann; Marco Pavone 001; Markus Ryll (CVPR, 2022)

Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction. - Xinshuo Weng; Boris Ivanovic; Kris Kitani; Marco Pavone 001 (CVPR, 2022)

Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications. - Somrita Banerjee; Apoorva Sharma; Edward Schmerling; Max Spolaor; Michael Nemerouf; Marco Pavone 001 (ECCV Workshops (1), 2022)

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction. - Yulong Cao; Chaowei Xiao; Anima Anandkumar; Danfei Xu; Marco Pavone 001 (ECCV (5), 2022)

ReachBot: A Small Robot with Exceptional Reach for Rough Terrain. - Tony G. Chen; Becky Miller; Crystal E. Winston; Stephanie Schneider; Andrew Bylard; Marco Pavone 001; Mark R. Cutkosky (ICRA, 2022)

Propagating State Uncertainty Through Trajectory Forecasting. - Boris Ivanovic; Yifeng Lin; Shubham Shrivastava; Punarjay Chakravarty; Marco Pavone 001 (ICRA, 2022)

Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. - Boris Ivanovic; Kuan-Hui Lee; Pavel Tokmakov; Blake Wulfe; Rowan McAllister; Adrien Gaidon; Marco Pavone 001 (IROS, 2022)

Robust-RRT: Probabilistically-Complete Motion Planning for Uncertain Nonlinear Systems. - Albert Wu; Thomas Lew; Kiril Solovey; Edward Schmerling; Marco Pavone 001 (ISRR, 2022)

Private Location Sharing for Decentralized Routing Services. - Matthew Tsao; Kaidi Yang; Karthik Gopalakrishnan 002; Marco Pavone 001 (ITSC, 2022)

Injecting Planning-Awareness into Prediction and Detection Evaluation. - Boris Ivanovic; Marco Pavone 001 (IV, 2022)

Interaction-Dynamics-Aware Perception Zones for Obstacle Detection Safety Evaluation. - Sever Topan; Karen Leung; Yuxiao Chen 008; Pritish Tupekar; Edward Schmerling; Jonas Nilsson 001; Michael Cox; Marco Pavone 001 (IV, 2022)

MTP: Multi-hypothesis Tracking and Prediction for Reduced Error Propagation. - Xinshuo Weng; Boris Ivanovic; Marco Pavone 001 (IV, 2022)

Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand. - Daniele Gammelli; Kaidi Yang; James Harrison; Filipe Rodrigues 001; Francisco C. Pereira; Marco Pavone 001 (KDD, 2022)

A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. - Thomas Lew; Lucas Janson; Riccardo Bonalli; Marco Pavone 001 (L4DC, 2022)

Data-Driven Chance Constrained Control using Kernel Distribution Embeddings. - Adam J. Thorpe; Thomas Lew; Meeko Oishi; Marco Pavone 001 (L4DC, 2022)

Local calibration: metrics and recalibration. - Rachel Luo; Aadyot Bhatnagar; Yu Bai 017; Shengjia Zhao; Huan Wang 014; Caiming Xiong; Silvio Savarese; Stefano Ermon; Edward Schmerling; Marco Pavone 001 (UAI, 2022)

Analysis and Control of Autonomous Mobility-on-Demand Systems. - Gioele Zardini; Nicolas Lanzetti; Marco Pavone 001; Emilio Frazzoli (Annu. Rev. Control. Robotics Auton. Syst., 2022)

Private and Decentralized Location Sharing for Congestion-Aware Routing. - Matthew Tsao; Kaidi Yang; Karthik Gopalakrishnan 002; Marco Pavone 001 (CoRR, 2022)

Neural-MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. - Tim Salzmann; Elia Kaufmann; Marco Pavone 001; Davide Scaramuzza 001; Markus Ryll (CoRR, 2022)

Learning Deep SDF Maps Online for Robot Navigation and Exploration. - Gadiel Sznaier Camps; Robert Dyro; Marco Pavone 001; Mac Schwager (CoRR, 2022)

Copositive programming for mixed-binary quadratic optimization via Ising solvers. - Robin A. Brown; David Esteban Bernal Neira; Davide Venturelli; Marco Pavone 001 (CoRR, 2022)

Designing ReachBot: System Design Process with a Case Study of a Martian Lava Tube Mission. - Stephanie Newdick; Tony G. Chen; Benjamin J. Hockman; Edward Schmerling; Mark R. Cutkosky; Marco Pavone 001 (CoRR, 2022)

Foundation Models for Semantic Novelty in Reinforcement Learning. - Tarun Gupta 002; Péter Karkus; Tong Che; Danfei Xu; Marco Pavone 001 (CoRR, 2022)

Online Distribution Shift Detection via Recency Prediction. - Rachel Luo; Rohan Sinha; Ali Hindy; Shengjia Zhao; Silvio Savarese; Edward Schmerling; Marco Pavone 001 (CoRR, 2022)

Adaptive Robust Model Predictive Control via Uncertainty Cancellation. - Rohan Sinha; James Harrison; Spencer M. Richards; Marco Pavone 001 (CoRR, 2022)

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. - Sushant Veer; Karen Leung; Ryan K. Cosner; Yuxiao Chen 008; Marco Pavone 001 (CoRR, 2022)

A System-Level View on Out-of-Distribution Data in Robotics. - Rohan Sinha; Apoorva Sharma; Somrita Banerjee; Thomas Lew; Rachel Luo; Spencer M. Richards; Yixiao Sun; Edward Schmerling; Marco Pavone 001 (CoRR, 2022)

Technical Note - Online Hypergraph Matching with Delays. - Marco Pavone 001; Amin Saberi; Maximilian Schiffer; Matt Wu Tsao (Oper. Res., 2022)

Optimal Picking Policies in E-Commerce Warehouses. - Maximilian Schiffer; Nils Boysen; Patrick S. Klein; Gilbert Laporte; Marco Pavone 001 (Manag. Sci., 2022)

CoCo: Online Mixed-Integer Control Via Supervised Learning. - Abhishek Cauligi; Preston Culbertson; Edward Schmerling; Mac Schwager; Bartolomeo Stellato; Marco Pavone 001 (IEEE Robotics Autom. Lett., 2022)

Safe Reinforcement Learning Using Black-Box Reachability Analysis. - Mahmoud Selim; Amr Alanwar 001; Shreyas Kousik; Grace Xingxin Gao; Marco Pavone 001; Karl Henrik Johansson (IEEE Robotics Autom. Lett., 2022)

Tube-Certified Trajectory Tracking for Nonlinear Systems With Robust Control Contraction Metrics. - Pan Zhao 003; Arun Lakshmanan; Kasey A. Ackerman; Aditya Gahlawat; Marco Pavone 001; Naira Hovakimyan (IEEE Robotics Autom. Lett., 2022)

Testing Gecko-Inspired Adhesives With Astrobee Aboard the International Space Station: Readying the Technology for Space. - Tony G. Chen; Abhishek Cauligi; Srinivasan A. Suresh; Marco Pavone 001; Mark R. Cutkosky (IEEE Robotics Autom. Mag., 2022)

Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk. - Margaret P. Chapman; Riccardo Bonalli; Kevin M. Smith; Insoon Yang; Marco Pavone 001; Claire J. Tomlin (IEEE Trans. Autom. Control., 2022)

Linear Reduced-Order Model Predictive Control. - Joseph Lorenzetti; Andrew McClellan; Charbel Farhat; Marco Pavone 001 (IEEE Trans. Autom. Control., 2022)

Trust but Verify: Cryptographic Data Privacy for Mobility Management. - Matthew Tsao; Kaidi Yang; Stephen Zoepf; Marco Pavone 001 (IEEE Trans. Control. Netw. Syst., 2022)

Routing and Rebalancing Intermodal Autonomous Mobility-on-Demand Systems in Mixed Traffic. - Salomón Wollenstein-Betech; Mauro Salazar; Arian Houshmand; Marco Pavone 001; Ioannis Ch. Paschalidis; Christos G. Cassandras (IEEE Trans. Intell. Transp. Syst., 2022)

Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework. - Thomas Lew; Apoorva Sharma; James Harrison; Andrew Bylard; Marco Pavone 001 (IEEE Trans. Robotics, 2022)

Online Learning for Traffic Routing under Unknown Preferences. - Devansh Jalota; Karthik Gopalakrishnan 002; Navid Azizan; Ramesh Johari; Marco Pavone 001 (AISTATS, 2023)

Learning Autonomous Vehicle Safety Concepts from Demonstrations. - Karen Leung; Sushant Veer; Edward Schmerling; Marco Pavone 001 (ACC, 2023)

Robust Nonlinear Reduced-Order Model Predictive Control. - John Irvin Alora; Luis A. Pabon; Johannes Köhler 001; Mattia Cenedese; Edward Schmerling; Melanie N. Zeilinger; George Haller; Marco Pavone 001 (CDC, 2023)

Credit-Based Congestion Pricing: Equilibrium Properties and Optimal Scheme Design. - Devansh Jalota; Jessica Lazarus; Alexandre M. Bayen; Marco Pavone 001 (CDC, 2023)

Verification and Synthesis of Robust Control Barrier Functions: Multilevel Polynomial Optimization and Semidefinite Relaxation. - Shucheng Kang; Yuxiao Chen 008; Heng Yang; Marco Pavone 001 (CDC, 2023)

Exact Characterization of the Convex Hulls of Reachable Sets. - Thomas Lew; Riccardo Bonalli; Marco Pavone 001 (CDC, 2023)

Closing the Loop on Runtime Monitors with Fallback-Safe MPC. - Rohan Sinha; Edward Schmerling; Marco Pavone 001 (CDC, 2023)

Differentially Private Stochastic Convex Optimization for Network Routing Applications. - Matthew Tsao; Karthik Gopalakrishnan 002; Kaidi Yang; Marco Pavone 001 (CDC, 2023)

Language Conditioned Traffic Generation. - Shuhan Tan; Boris Ivanovic; Xinshuo Weng; Marco Pavone 001; Philipp Krähenbühl (CoRL, 2023)

Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors. - Sushant Veer; Apoorva Sharma; Marco Pavone 001 (CoRL, 2023)

Language-Guided Traffic Simulation via Scene-Level Diffusion. - Ziyuan Zhong; Davis Rempe; Yuxiao Chen 008; Boris Ivanovic; Yulong Cao; Danfei Xu; Marco Pavone 001; Baishakhi Ray (CoRL, 2023)

Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation. - Heng Yang; Marco Pavone 001 (CVPR, 2023)

FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization. - Jiawei Yang 002; Marco Pavone 001; Yue Wang 041 (CVPR, 2023)

Robust and Controllable Object-Centric Learning through Energy-based Models. - Ruixiang Zhang; Tong Che; Boris Ivanovic; Renhao Wang; Marco Pavone 001; Yoshua Bengio; Liam Paull (ICLR, 2023)

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models. - Wenhao Ding; Tong Che; Ding Zhao; Marco Pavone 001 (ICML, 2023)

Graph Reinforcement Learning for Network Control via Bi-Level Optimization. - Daniele Gammelli; James Harrison; Kaidi Yang; Marco Pavone 001; Filipe Rodrigues 001; Francisco C. Pereira (ICML, 2023)

Learning Control-Oriented Dynamical Structure from Data. - Spencer M. Richards; Jean-Jacques E. Slotine; Navid Azizan; Marco Pavone 001 (ICML, 2023)

Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. - John Irvin Alora; Mattia Cenedese; Edward Schmerling; George Haller; Marco Pavone 001 (ICRA, 2023)

Tree-structured Policy Planning with Learned Behavior Models. - Yuxiao Chen 008; Péter Karkus; Boris Ivanovic; Xinshuo Weng; Marco Pavone 001 (ICRA, 2023)

Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models. - Filippos Christianos; Péter Karkus; Boris Ivanovic; Stefano V. Albrecht; Marco Pavone 001 (ICRA, 2023)

Learning Responsibility Allocations for Safe Human-Robot Interaction with Applications to Autonomous Driving. - Ryan K. Cosner; Yuxiao Chen 008; Karen Leung; Marco Pavone 001 (ICRA, 2023)

Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning. - Boris Ivanovic; James Harrison; Marco Pavone 001 (ICRA, 2023)

Motion Planning for a Climbing Robot with Stochastic Grasps. - Stephanie Newdick; Nitin Ongole; Tony G. Chen; Edward Schmerling; Mark R. Cutkosky; Marco Pavone 001 (ICRA, 2023)

Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles. - Sushant Veer; Karen Leung; Ryan K. Cosner; Yuxiao Chen 008; Péter Karkus; Marco Pavone 001 (ICRA, 2023)

BITS: Bi-level Imitation for Traffic Simulation. - Danfei Xu; Yuxiao Chen 008; Boris Ivanovic; Marco Pavone 001 (ICRA, 2023)

Guided Conditional Diffusion for Controllable Traffic Simulation. - Ziyuan Zhong; Davis Rempe; Danfei Xu; Yuxiao Chen 008; Sushant Veer; Tong Che; Baishakhi Ray; Marco Pavone 001 (ICRA, 2023)

Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility. - Kai-Chieh Hsu; Karen Leung; Yuxiao Chen 008; Jaime F. Fisac; Marco Pavone 001 (IROS, 2023)

Refining Obstacle Perception Safety Zones via Maneuver-Based Decomposition. - Sever Topan; Yuxiao Chen 008; Edward Schmerling; Karen Leung; Jonas Nilsson 001; Michael Cox; Marco Pavone 001 (IV, 2023)

Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems. - Tobias Enders; James Harrison; Marco Pavone 001; Maximilian Schiffer (L4DC, 2023)

trajdata: A Unified Interface to Multiple Human Trajectory Datasets. - Boris Ivanovic; Guanyu Song; Igor Gilitschenski; Marco Pavone 001 (NeurIPS, 2023)

PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction. - Apoorva Sharma; Sushant Veer; Asher Hancock; Heng Yang; Marco Pavone 001; Anirudha Majumdar (NeurIPS, 2023)

Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles. - Pasquale Antonante; Sushant Veer; Karen Leung; Xinshuo Weng; Luca Carlone; Marco Pavone 001 (Robotics: Science and Systems, 2023)

Dynamic locational marginal emissions via implicit differentiation. - Lucas Fuentes Valenzuela; Anthony Degleris; Abbas El Gamal; Marco Pavone 001; Ram Rajagopal (CoRR, 2023)

Partial-View Object View Synthesis via Filtered Inversion. - Fan-Yun Sun; Jonathan Tremblay; Valts Blukis; Kevin Lin; Danfei Xu; Boris Ivanovic; Péter Karkus; Stan Birchfield; Dieter Fox; Ruohan Zhang; Yunzhu Li; Jiajun Wu 001; et al. (CoRR, 2023)

Transformers for Trajectory Optimization with Application to Spacecraft Rendezvous. - Tommaso Guffanti; Daniele Gammelli; Simone D'Amico; Marco Pavone 001 (CoRR, 2023)

Interactive Motion Planning for Autonomous Vehicles with Joint Optimization. - Yuxiao Chen 008; Sushant Veer; Péter Karkus; Marco Pavone 001 (CoRR, 2023)

A Language Agent for Autonomous Driving. - Jiageng Mao; Junjie Ye; Yuxi Qian; Marco Pavone 001; Yue Wang 041 (CoRR, 2023)

Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent. - Yuxiao Chen 008; Sander Tonkens; Marco Pavone 001 (CoRR, 2023)

Online Routing Over Parallel Networks: Deterministic Limits and Data-driven Enhancements. - Devansh Jalota; Dario Paccagnan; Maximilian Schiffer; Marco Pavone 001 (INFORMS J. Comput., 2023)

Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions. - Gioele Zardini; Nicolas Lanzetti; Andrea Censi; Emilio Frazzoli; Marco Pavone 001 (IEEE Trans. Netw. Sci. Eng., 2023)

Trustworthy AI - Part 1. - Riccardo Mariani; Francesca Rossi 001; Rita Cucchiara; Marco Pavone 001; Barnaby Simkin; Ansgar Koene; Jochen Papenbrock (Computer, 2023)

Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms. - Tim Salzmann; Elia Kaufmann; Jon Arrizabalaga; Marco Pavone 001; Davide Scaramuzza 001; Markus Ryll (IEEE Robotics Autom. Lett., 2023)

Trustworthy AI - Part II. - Riccardo Mariani; Francesca Rossi 001; Rita Cucchiara; Marco Pavone 001; Barnaby Simkin; Ansgar Koene; Jochen Papenbrock (Computer, 2023)

Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods. - Karen Leung; Nikos Aréchiga; Marco Pavone 001 (Int. J. Robotics Res., 2023)

Co-design of communication and machine inference for cloud robotics. - Manabu Nakanoya; Sai Shankar Narasimhan; Sharachchandra Bhat; Alexandros Anemogiannis; Akul Datta; Sachin Katti; Sandeep Chinchali; Marco Pavone 001 (Auton. Robots, 2023)

Robust feedback motion planning via contraction theory. - Sumeet Singh; Benoit Landry; Anirudha Majumdar; Jean-Jacques E. Slotine; Marco Pavone 001 (Int. J. Robotics Res., 2023)

Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control. - Riccardo Bonalli; Thomas Lew; Marco Pavone 001 (IEEE Trans. Autom. Control., 2023)

Fisher markets with linear constraints: Equilibrium properties and efficient distributed algorithms. - Devansh Jalota; Marco Pavone 001; Qi Qi 003; Yinyu Ye 001 (Games Econ. Behav., 2023)

Control-oriented meta-learning. - Spencer M. Richards; Navid Azizan; Jean-Jacques E. Slotine; Marco Pavone 001 (Int. J. Robotics Res., 2023)

Balancing fairness and efficiency in traffic routing via interpolated traffic assignment. - Devansh Jalota; Kiril Solovey; Matthew Tsao; Stephen Zoepf; Marco Pavone 001 (Auton. Agents Multi Agent Syst., 2023)

Near-Optimal Multi-Robot Motion Planning with Finite Sampling. - Dror Dayan; Kiril Solovey; Marco Pavone 001; Dan Halperin (IEEE Trans. Robotics, 2023)

Semantic anomaly detection with large language models. - Amine Elhafsi; Rohan Sinha; Christopher Agia; Edward Schmerling; Issa A. D. Nesnas; Marco Pavone 001 (Auton. Robots, 2023)

Text2Motion: from natural language instructions to feasible plans. - Kevin Lin; Christopher Agia; Toki Migimatsu; Marco Pavone 001; Jeannette Bohg (Auton. Robots, 2023)

Partial-View Object View Synthesis via Filtering Inversion. - Fan-Yun Sun; Jonathan Tremblay; Valts Blukis; Kevin Lin; Danfei Xu; Boris Ivanovic; Péter Karkus; Stan Birchfield; Dieter Fox; Ruohan Zhang; Yunzhu Li; Jiajun Wu 001; et al. (3DV, 2024)

Credit vs. Discount-Based Congestion Pricing: A Comparison Study. - Chih-Yuan Chiu; Devansh Jalota; Marco Pavone 001 (CDC, 2024)

System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline. - Sampada Deglurkar; Haotian Shen; Anish Muthali; Marco Pavone 001; Dragos D. Margineantu; Péter Karkus; Boris Ivanovic; Claire J. Tomlin (CDC, 2024)

Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress. - Christopher Agia; Rohan Sinha; Jingyun Yang; Ziang Cao; Rika Antonova; Marco Pavone 001; Jeannette Bohg (CoRL, 2024)

Q-SLAM: Quadric Representations for Monocular SLAM. - Chensheng Peng; Chenfeng Xu; Yue Wang 041; Mingyu Ding; Heng Yang; Masayoshi Tomizuka; Kurt Keutzer; Marco Pavone 001; Wei Zhan (CoRL, 2024)

Promptable Closed-loop Traffic Simulation. - Shuhan Tan; Boris Ivanovic; Yuxiao Chen 008; Boyi Li; Xinshuo Weng; Yulong Cao; Philipp Krähenbühl; Marco Pavone 001 (CoRL, 2024)

Text2Interaction: Establishing Safe and Preferable Human-Robot Interaction. - Jakob Thumm; Christopher Agia; Marco Pavone 001; Matthias Althoff (CoRL, 2024)

Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving. - Ran Tian; Boyi Li; Xinshuo Weng; Yuxiao Chen 008; Edward Schmerling; Yue Wang 041; Boris Ivanovic; Marco Pavone 001 (CoRL, 2024)

Accelerating Continuous Variable Coherent Ising Machines via Momentum. - Robin A. Brown; Davide Venturelli; Marco Pavone 001; David E. Bernal Neira (CPAIOR (1), 2024)

Producing and Leveraging Online Map Uncertainty in Trajectory Prediction. - Xunjiang Gu; Guanyu Song; Igor Gilitschenski; Marco Pavone 001; Boris Ivanovic (CVPR, 2024)

Driving Everywhere with Large Language Model Policy Adaptation. - Boyi Li; Yue Wang 041; Jiageng Mao; Boris Ivanovic; Sushant Veer; Karen Leung; Marco Pavone 001 (CVPR, 2024)

PARA-Drive: Parallelized Architecture for Real-Time Autonomous Driving. - Xinshuo Weng; Boris Ivanovic; Yan Wang 051; Yue Wang 041; Marco Pavone 001 (CVPR, 2024)

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios. - Wenhao Ding; Yulong Cao; Ding Zhao; Chaowei Xiao; Marco Pavone 001 (ECCV (62), 2024)

Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention. - Xunjiang Gu; Guanyu Song; Igor Gilitschenski; Marco Pavone 001; Boris Ivanovic (ECCV (81), 2024)

Dolphins: Multimodal Language Model for Driving. - Yingzi Ma; Yulong Cao; Jiachen Sun; Marco Pavone 001; Chaowei Xiao (ECCV (45), 2024)

Real-Time Control of Electric Autonomous Mobility-on-Demand Systems via Graph Reinforcement Learning. - Aaryan Singhal; Daniele Gammelli; Justin Luke; Karthik Gopalakrishnan 002; Dominik Helmreich; Marco Pavone 001 (ECC, 2024)

RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling. - Manuel Bianchi Bazzi; Asad Ali Shahid; Christopher Agia; John Irvin Alora; Marco Forgione; Dario Piga; Francesco Braghin; Marco Pavone 001; Loris Roveda (ICINCO (2), 2024)

EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision. - Jiawei Yang 002; Boris Ivanovic; Or Litany; Xinshuo Weng; Seung Wook Kim 001; Boyi Li; Tong Che; Danfei Xu; Sanja Fidler; Marco Pavone 001; Yue Wang 041 (ICLR, 2024)

Parallelized Spatiotemporal Slot Binding for Videos. - Gautam Singh; Yue Wang 041; Jiawei Yang 002; Boris Ivanovic; Sungjin Ahn; Marco Pavone 001; Tong Che (ICML, 2024)

Mapping High-level Semantic Regions in Indoor Environments without Object Recognition. - Roberto Bigazzi; Lorenzo Baraldi 001; Shreyas Kousik; Rita Cucchiara; Marco Pavone 001 (ICRA, 2024)

Reinforcement Learning with Human Feedback for Realistic Traffic Simulation. - Yulong Cao; Boris Ivanovic; Chaowei Xiao; Marco Pavone 001 (ICRA, 2024)

DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving. - Zhiyu Huang; Péter Karkus; Boris Ivanovic; Yuxiao Chen 008; Marco Pavone 001; Chen Lv (ICRA, 2024)

Online Distribution Shift Detection via Recency Prediction. - Rachel Luo; Rohan Sinha; Yixiao Sun; Ali Hindy; Shengjia Zhao; Silvio Savarese; Edward Schmerling; Marco Pavone 001 (ICRA, 2024)

Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps. - Katie Z. Luo; Xinshuo Weng; Yan Wang 051; Shuang Wu; Jie Li; Kilian Q. Weinberger; Yue Wang 041; Marco Pavone 001 (ICRA, 2024)

ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. - Luca Paparusso; Shreyas Kousik; Edward Schmerling; Francesco Braghin; Marco Pavone 001 (ICRA, 2024)

Task-Driven Manipulation with Reconfigurable Parallel Robots. - Daniel Morton; Mark R. Cutkosky; Marco Pavone 001 (IROS, 2024)

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC). - Luis A. Pabon; Johannes Köhler 001; John Irvin Alora; Patrick Benito Eberhard; Andrea Carron; Melanie N. Zeilinger; Marco Pavone 001 (IROS, 2024)

Learning for CasADi: Data-driven models in numerical optimization. - Tim Salzmann; Jon Arrizabalaga; Joel Andersson 001; Marco Pavone 001; Markus Ryll (L4DC, 2024)

DiffuBox: Refining 3D Object Detection with Point Diffusion. - Xiangyu Chen 007; Zhenzhen Liu; Katie Luo; Siddhartha Datta; Adhitya Polavaram; Yan Wang 051; Yurong You; Boyi Li; Marco Pavone 001; Wei-Lun Chao; Mark E. Campbell; Bharath Hariharan; et al. (NeurIPS, 2024)

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking. - Daniel Dauner; Marcel Hallgarten; Tianyu Li; Xinshuo Weng; Zhiyu Huang; Zetong Yang; Hongyang Li 001; Igor Gilitschenski; Boris Ivanovic; Marco Pavone 001; Andreas Geiger 001; Kashyap Chitta (NeurIPS, 2024)

Large Spatial Model: End-to-end Unposed Images to Semantic 3D. - Zhiwen Fan; Jian Zhang; Wenyan Cong; Peihao Wang; Renjie Li 003; Kairun Wen; Shijie Zhou 003; Achuta Kadambi; Zhangyang Wang; Danfei Xu; Boris Ivanovic; Marco Pavone 001 (NeurIPS, 2024)

Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data. - Rui Huang; Henry Zheng; Yan Wang 051; Zhuofan Xia; Marco Pavone 001; Gao Huang 001 (NeurIPS, 2024)

Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate. - Can Jin; Tong Che; Hongwu Peng; Yiyuan Li; Dimitris N. Metaxas; Marco Pavone 001 (NeurIPS, 2024)

Memorize What Matters: Emergent Scene Decomposition from Multitraverse. - Yiming Li 003; Zehong Wang; Yue Wang 041; Zhiding Yu; Zan Gojcic; Marco Pavone 001; Chen Feng 002; José M. Álvarez 004 (NeurIPS, 2024)

DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features. - Letian Wang; Seung Wook Kim 001; Jiawei Yang 002; Cunjun Yu; Boris Ivanovic; Steven L. Waslander; Yue Wang 041; Sanja Fidler; Marco Pavone 001; Péter Karkus (NeurIPS, 2024)

Real-Time Anomaly Detection and Reactive Planning with Large Language Models. - Rohan Sinha; Amine Elhafsi; Christopher Agia; Matthew Foutter; Edward Schmerling; Marco Pavone 001 (Robotics: Science and Systems, 2024)

Fast Grid Emissions Sensitivities using Parallel Decentralized Implicit Differentiation. - Anthony Degleris; Lucas Fuentes Valenzuela; Ram Rajagopal; Marco Pavone 001; Abbas El Gamal (SmartGridComm, 2024)

Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators. - Christopher Agia; Guillem Casadesus Vila; Saptarshi Bandyopadhyay; David S. Bayard; Kar-Ming Cheung; Charles H. Lee; Eric Wood; Ian Aenishanslin; Steven Ardito; Lorraine M. Fesq; Marco Pavone 001; Issa A. D. Nesnas (CoRR, 2024)

Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate. - Can Jin; Tong Che; Hongwu Peng; Yiyuan Li; Marco Pavone 001 (CoRR, 2024)

Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications. - David Esteban Bernal Neira; Robin A. Brown; Pratik Sathe; Filip A. Wudarski; Marco Pavone 001; Eleanor Gilbert Rieffel; Davide Venturelli (CoRR, 2024)

When Simple is Near-Optimal in Security Games. - Devansh Jalota; Michael Ostrovsky; Marco Pavone 001 (CoRR, 2024)

Catch Me If You Can: Combatting Fraud in Artificial Currency Based Government Benefits Programs. - Devansh Jalota; Matthew Tsao; Marco Pavone 001 (CoRR, 2024)

Contingency Planning Using Bi-level Markov Decision Processes for Space Missions. - Somrita Banerjee; Edward Balaban; Mark Shirley; Kevin Bradner; Marco Pavone 001 (CoRR, 2024)

Parallelized Spatiotemporal Binding. - Gautam Singh; Yue Wang 041; Jiawei Yang 002; Boris Ivanovic; Sungjin Ahn; Marco Pavone 001; Tong Che (CoRR, 2024)

Decentralized Implicit Differentiation. - Lucas Fuentes Valenzuela; Robin A. Brown; Marco Pavone 001 (CoRR, 2024)

InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds. - Zhiwen Fan; Wenyan Cong; Kairun Wen; Kevin Wang; Jian Zhang; Xinghao Ding; Danfei Xu; Boris Ivanovic; Marco Pavone 001; Georgios Pavlakos; Zhangyang Wang; Yue Wang 041 (CoRR, 2024)

Scaling Population-Based Reinforcement Learning with GPU Accelerated Simulation. - Asad Ali Shahid; Yashraj S. Narang; Vincenzo Petrone; Enrico Ferrentino; Ankur Handa; Dieter Fox; Marco Pavone 001; Loris Roveda (CoRR, 2024)

RuleFuser: Injecting Rules in Evidential Networks for Robust Out-of-Distribution Trajectory Prediction. - Jay Patrikar; Sushant Veer; Apoorva Sharma; Marco Pavone 001; Sebastian A. Scherer (CoRR, 2024)

ReachBot Field Tests in a Mojave Desert Lava Tube as a Martian Analog. - Tony G. Chen; Julia Di; Stephanie Newdick; Mathieu G. A. Lapôtre; Marco Pavone 001; Mark R. Cutkosky (CoRR, 2024)

Learning Traffic Crashes as Language: Datasets, Benchmarks, and What-if Causal Analyses. - Zhiwen Fan; Pu Wang; Yang Zhao 013; Yibo Zhao; Boris Ivanovic; Zhangyang Wang; Marco Pavone 001; Hao (Frank) Yang (CoRR, 2024)

Martian Exploration of Lava Tubes (MELT) with ReachBot: Scientific Investigation and Concept of Operations. - Julia Di; Sara Cuevas-Quinones; Stephanie Newdick; Tony G. Chen; Marco Pavone 001; Mathieu G. A. Lapôtre; Mark R. Cutkosky (CoRR, 2024)

VILA2: VILA Augmented VILA. - Yunhao Fang; Ligeng Zhu; Yao Lu 006; Yan Wang 051; Pavlo Molchanov 001; Jang Hyun Cho; Marco Pavone 001; Song Han 003; Hongxu Yin (CoRR, 2024)

Wolf: Captioning Everything with a World Summarization Framework. - Boyi Li; Ligeng Zhu; Ran Tian; Shuhan Tan; Yuxiao Chen 008; Yao Lu 006; Yin Cui; Sushant Veer; Max Ehrlich; Jonah Philion; Xinshuo Weng; Fuzhao Xue; et al. (CoRR, 2024)

Diagnostic Runtime Monitoring with Martingales. - Ali Hindy; Rachel Luo; Somrita Banerjee; Jonathan Kuck; Edward Schmerling; Marco Pavone 001 (CoRR, 2024)

Adapting a Foundation Model for Space-based Tasks. - Matthew Foutter; Praneet Bhoj; Rohan Sinha; Amine Elhafsi; Somrita Banerjee; Christopher Agia; Justin Kruger; Tommaso Guffanti; Daniele Gammelli; Simone D'Amico; Marco Pavone 001 (CoRR, 2024)

Realistic Extreme Behavior Generation for Improved AV Testing. - Robert Dyro; Matthew Foutter; Ruolin Li; Luigi Di Lillo; Edward Schmerling; Xilin Zhou; Marco Pavone 001 (CoRR, 2024)

Performance assessment of ADAS in a representative subset of critical traffic situations. - Luigi Di Lillo; Andrea Triscari; Xilin Zhou; Robert Dyro; Ruolin Li; Marco Pavone 001 (CoRR, 2024)

System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous Vehicles. - Kaustav Chakraborty; Zeyuan Feng; Sushant Veer; Apoorva Sharma; Boris Ivanovic; Marco Pavone 001; Somil Bansal (CoRR, 2024)

LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning. - Di Zhang; Jianbo Wu; Jingdi Lei; Tong Che; Jiatong Li 003; Tong Xie; Xiaoshui Huang; Shufei Zhang; Marco Pavone 001; Yuqiang Li; Wanli Ouyang; Dongzhan Zhou (CoRR, 2024)

Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning. - Zhiyu Huang; Xinshuo Weng; Maximilian Igl; Yuxiao Chen 008; Yulong Cao; Boris Ivanovic; Marco Pavone 001; Chen Lv (CoRR, 2024)

Towards Robust Spacecraft Trajectory Optimization via Transformers. - Yuji Takubo; Tommaso Guffanti; Daniele Gammelli; Marco Pavone 001; Simone D'Amico (CoRR, 2024)

LoRD: Adapting Differentiable Driving Policies to Distribution Shifts. - Christopher Diehl; Péter Karkus; Sushant Veer; Marco Pavone 001; Torsten Bertram (CoRR, 2024)

Large Spatial Model: End-to-end Unposed Images to Semantic 3D. - Zhiwen Fan; Jian Zhang; Wenyan Cong; Peihao Wang; Renjie Li 003; Kairun Wen; Shijie Zhou 003; Achuta Kadambi; Zhangyang Wang; Danfei Xu; Boris Ivanovic; Marco Pavone 001; et al. (CoRR, 2024)

Learning Multiple Initial Solutions to Optimization Problems. - Elad Sharony; Heng Yang; Tong Che; Marco Pavone 001; Shie Mannor; Péter Karkus (CoRR, 2024)

Training an Open-Vocabulary Monocular 3D Object Detection Model without 3D Data. - Rui Huang; Henry Zheng; Yan Wang 051; Zhuofan Xia; Marco Pavone 001; Gao Huang 001 (CoRR, 2024)

Extrapolated Urban View Synthesis Benchmark. - Xiangyu Han; Zhen Jia; Boyi Li; Yan Wang 051; Boris Ivanovic; Yurong You; Lingjie Liu; Yue Wang 041; Marco Pavone 001; Chen Feng 002; Yiming Li 003 (CoRR, 2024)

Sample-efficient safety assurances using conformal prediction. - Rachel Luo; Shengjia Zhao; Jonathan Kuck; Boris Ivanovic; Silvio Savarese; Edward Schmerling; Marco Pavone 001 (Int. J. Robotics Res., 2024)

Locomotion as manipulation with ReachBot. - Tony G. Chen; Stephanie Newdick; Julia Di; Carlo Bosio; Nitin Ongole; Mathieu G. A. Lapôtre; Marco Pavone 001; Mark R. Cutkosky (Sci. Robotics, 2024)

A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms. - Robin A. Brown; David Esteban Bernal Neira; Davide Venturelli; Marco Pavone 001 (SIAM J. Optim., 2024)

Sample Average Approximation for Stochastic Programming with Equality Constraints. - Thomas Lew; Riccardo Bonalli; Marco Pavone 001 (SIAM J. Optim., 2024)

The matroid team surviving orienteers problem and its variants: Constrained routing of heterogeneous teams with risky traversal. - Stefan Jorgensen; Marco Pavone 001 (Int. J. Robotics Res., 2024)

Interactive Joint Planning for Autonomous Vehicles. - Yuxiao Chen 001; Sushant Veer; Péter Karkus; Marco Pavone 001 (IEEE Robotics Autom. Lett., 2024)

Risk-Averse Trajectory Optimization via Sample Average Approximation. - Thomas Lew; Riccardo Bonalli; Marco Pavone 001 (IEEE Robotics Autom. Lett., 2024)

Trustworthy AI - Part III. - Riccardo Mariani; Francesca Rossi 001; Rita Cucchiara; Marco Pavone 001; Barnaby Simkin; Ansgar Koene; Jochen Papenbrock (Computer, 2024)

Bayesian Embeddings for Few-Shot Open World Recognition. - John Willes; James Harrison; Ali Harakeh; Chelsea Finn; Marco Pavone 001; Steven L. Waslander (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

When Efficiency Meets Equity in Congestion Pricing and Revenue Refunding Schemes. - Devansh Jalota; Kiril Solovey; Karthik Gopalakrishnan 002; Stephen Zoepf; Hamsa Balakrishnan; Marco Pavone 001 (IEEE Trans. Control. Netw. Syst., 2024)

Gradient Descent-Based Task-Orientation Robot Control Enhanced With Gaussian Process Predictions. - Loris Roveda; Marco Pavone 001 (IEEE Robotics Autom. Lett., 2024)

On the Interplay Between Self-Driving Cars and Public Transportation. - Nicolas Lanzetti; Maximilian Schiffer; Michael Ostrovsky; Marco Pavone 001 (IEEE Trans. Control. Netw. Syst., 2024)

Transformer-Based Model Predictive Control: Trajectory Optimization via Sequence Modeling. - Davide Celestini; Daniele Gammelli; Tommaso Guffanti; Simone D'Amico; Elisa Capello; Marco Pavone 001 (IEEE Robotics Autom. Lett., 2024)

Generalizable Spacecraft Trajectory Generation via Multimodal Learning with Transformers. - Davide Celestini; Amirhossein Afsharrad; Daniele Gammelli; Tommaso Guffanti; Gioele Zardini; Sanjay Lall; Elisa Capello; Simone D'Amico; Marco Pavone 001 (ACC, 2025)

Controls for Space: a perspective to 2030s and beyond I. - Martina Mammarella; Simone D'Amico; Marco Pavone 001; Richard Linares; Michael J. Acheson; Finn Ankersen; Takahiro Sasaki; Elena Ancona; Jeremiah DiMatteo; Isaac A. Spiegel; Federica Paganelli Azza; Mattia Varile (ACC, 2025)

Controls for Space: a perspective to 2030s and beyond II. - Martina Mammarella; Simone D'Amico; Marco Pavone 001; Richard Linares; Michael J. Acheson; Finn Ankersen; Takahiro Sasaki; Elena Ancona; Jeremiah DiMatteo; Isaac A. Spiegel; Federica Paganelli Azza; Mattia Varile (ACC, 2025)

Data Scaling Laws for End-to-End Autonomous Driving. - Alexander Naumann; Xunjiang Gu; Tolga Dimlioglu; Mariusz Bojarski; Alperen Degirmenci; Alexander Popov; Devansh Bisla; Marco Pavone 001; Urs Muller; Boris Ivanovic (CVPR Workshops, 2025)

Scaling Vision Pre-Training to 4K Resolution. - Baifeng Shi; Boyi Li; Han Cai; Yao Lu 006; Sifei Liu; Marco Pavone 001; Jan Kautz; Song Han 003; Trevor Darrell; Pavlo Molchanov 001; Hongxu Yin (CVPR, 2025)

Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. - Zhejun Zhang; Péter Karkus; Maximilian Igl; Wenhao Ding; Yuxiao Chen 008; Boris Ivanovic; Marco Pavone 001 (CVPR, 2025)

STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes. - Jiawei Yang 002; Jiahui Huang; Boris Ivanovic; Yuxiao Chen 008; Yan Wang 051; Boyi Li; Yurong You; Apoorva Sharma; Maximilian Igl; Péter Karkus; Danfei Xu; Yue Wang 041; et al. (ICLR, 2025)

OmniRe: Omni Urban Scene Reconstruction. - Ziyu Chen; Jiawei Yang 002; Jiahui Huang; Riccardo de Lutio; Janick Martinez Esturo; Boris Ivanovic; Or Litany; Zan Gojcic; Sanja Fidler; Marco Pavone 001; Li Song; Yue Wang 041 (ICLR, 2025)

Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion. - Minkyoung Cho; Yulong Cao; Jiachen Sun; Qingzhao Zhang; Marco Pavone 001; Jeong Joon Park; Heng Yang; Zhuoqing Mao 001 (ICLR, 2025)

Language-Image Models with 3D Understanding. - Jang Hyun Cho; Boris Ivanovic; Yulong Cao; Edward Schmerling; Yue Wang 041; Xinshuo Weng; Boyi Li; Yurong You; Philipp Krähenbühl; Yan Wang 051; Marco Pavone 001 (ICLR, 2025)

LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models. - Ziqi Lu; Heng Yang; Danfei Xu; Boyi Li; Boris Ivanovic; Marco Pavone 001; Yue Wang 041 (ICLR, 2025)

Offline Hierarchical Reinforcement Learning via Inverse Optimization. - Carolin Schmidt; Daniele Gammelli; James Harrison; Marco Pavone 001; Filipe Rodrigues 001 (ICLR, 2025)

To Spend or to Gain: Online Learning in Repeated Karma Auctions. - Damien Berriaud; Ezzat Elokda; Devansh Jalota; Emilio Frazzoli; Marco Pavone 001; Florian Dörfler (AAMAS, 2025)

LLaMA-Berry: Pairwise Optimization for Olympiad-level Mathematical Reasoning via O1-like Monte Carlo Tree Search. - Di Zhang; Jianbo Wu; Jingdi Lei; Tong Che; Jiatong Li 003; Tong Xie; Xiaoshui Huang; Shufei Zhang; Marco Pavone 001; Yuqiang Li; Wanli Ouyang; Dongzhan Zhou (NAACL (Long Papers), 2025)

It's All in the Mix: Technology choice between driverless and human-driven vehicles in sharing systems. - Layla Martin; Stefan Minner; Marco Pavone 001; Maximilian Schiffer (Eur. J. Oper. Res., 2025)

Matching with transfers under distributional constraints. - Devansh Jalota; Michael Ostrovsky; Marco Pavone 001 (Games Econ. Behav., 2025)

DreamDrive: Generative 4D Scene Modeling from Street View Images. - Jiageng Mao; Boyi Li; Boris Ivanovic; Yuxiao Chen 008; Yan Wang 051; Yurong You; Chaowei Xiao; Danfei Xu; Marco Pavone 001; Yue Wang 041 (CoRR, 2025)

Surprise Potential as a Measure of Interactivity in Driving Scenarios. - Wenhao Ding; Sushant Veer; Karen Leung; Yulong Cao; Marco Pavone 001 (CoRR, 2025)

Online Aggregation of Trajectory Predictors. - Alex Tong; Apoorva Sharma; Sushant Veer; Marco Pavone 001; Heng Yang (CoRR, 2025)

Safe, Task-Consistent Manipulation with Operational Space Control Barrier Functions. - Daniel Morton; Marco Pavone 001 (CoRR, 2025)

Data-Driven Soft Robot Control via Adiabatic Spectral Submanifolds. - Roshan S. Kaundinya; John Irvin Alora; Jonas G. Matt; Luis A. Pabon; Marco Pavone 001; George Haller (CoRR, 2025)

Taming High-Dimensional Dynamics: Learning Optimal Projections onto Spectral Submanifolds. - Hugo Buurmeijer; Luis A. Pabon; John Irvin Alora; Roshan S. Kaundinya; George Haller; Marco Pavone 001 (CoRR, 2025)

Robo-taxi Fleet Coordination at Scale via Reinforcement Learning. - Luigi Tresca; Carolin Schmidt; James Harrison; Filipe Rodrigues 001; Gioele Zardini; Daniele Gammelli; Marco Pavone 001 (CoRR, 2025)

Describe Anything: Detailed Localized Image and Video Captioning. - Long Lian; Yifan Ding; Yunhao Ge; Sifei Liu; Hanzi Mao; Boyi Li; Marco Pavone 001; Ming-Yu Liu 001; Trevor Darrell; Adam Yala; Yin Cui (CoRR, 2025)

Deformable Cargo Transport in Microgravity with Astrobee. - Daniel Morton; Rika Antonova; Brian Coltin; Marco Pavone 001; Jeannette Bohg (CoRR, 2025)

Flight Validation of Learning-Based Trajectory Optimization for the Astrobee Free-Flyer. - Somrita Banerjee; Abhishek Cauligi; Marco Pavone 001 (CoRR, 2025)

Vision Foundation Model Embedding-Based Semantic Anomaly Detection. - Max Peter Ronecker; Matthew Foutter; Amine Elhafsi; Daniele Gammelli; Ihor Barakaiev; Marco Pavone 001; Daniel Watzenig (CoRR, 2025)

Generative AI for Autonomous Driving: Frontiers and Opportunities. - Yuping Wang; Shuo Xing; Cui Can; Renjie Li 003; Hongyuan Hua; Kexin Tian; Zhaobin Mo; Xiangbo Gao; Keshu Wu; Sulong Zhou; Hengxu You; Juntong Peng; et al. (CoRR, 2025)

Deployable and Generalizable Motion Prediction: Taxonomy, Open Challenges and Future Directions. - Letian Wang; Marc-Antoine Lavoie; Sandro Papais; Barza Nisar; Yuxiao Chen 008; Wenhao Ding; Boris Ivanovic; Hao Shao; Abulikemu Abuduweili; Evan Cook; Yang Zhou 019; Péter Karkus; et al. (CoRR, 2025)

Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning. - Milan Ganai; Rohan Sinha; Christopher Agia; Daniel Morton; Marco Pavone 001 (CoRR, 2025)

Scan, Materialize, Simulate: A Generalizable Framework for Physically Grounded Robot Planning. - Amine Elhafsi; Daniel Morton; Marco Pavone 001 (CoRR, 2025)

RealDrive: Retrieval-Augmented Driving with Diffusion Models. - Wenhao Ding; Sushant Veer; Yuxiao Chen 008; Yulong Cao; Chaowei Xiao; Marco Pavone 001 (CoRR, 2025)

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models. - Wenyan Cong; Yiqing Liang; Yancheng Zhang; Ziyi Yang; Yan Wang 051; Boris Ivanovic; Marco Pavone 001; Chen Chen; Zhangyang Wang; Zhiwen Fan (CoRR, 2025)

Pseudo-Simulation for Autonomous Driving. - Wei Cao; Marcel Hallgarten; Tianyu Li; Daniel Dauner; Xunjiang Gu; Caojun Wang; Yakov Miron; Marco Aiello 001; Hongyang Li 001; Igor Gilitschenski; Boris Ivanovic; Marco Pavone 001; et al. (CoRR, 2025)

Reproducibility in the Control of Autonomous Mobility-on-Demand Systems. - Xinling Li; Meshal Alharbi; Daniele Gammelli; James Harrison; Filipe Rodrigues 001; Maximilian Schiffer; Marco Pavone 001; Emilio Frazzoli; Jinhua Zhao; Gioele Zardini (CoRR, 2025)

SkillBlender: Towards Versatile Humanoid Whole-Body Loco-Manipulation via Skill Blending. - Yuxuan Kuang; Haoran Geng; Amine Elhafsi; Tan-Dzung Do; Pieter Abbeel; Jitendra Malik; Marco Pavone 001; Yue Wang 041 (CoRR, 2025)

Efficient Multi-Camera Tokenization with Triplanes for End-to-End Driving. - Boris Ivanovic; Cristiano Saltori; Yurong You; Yan Wang 051; Wenjie Luo; Marco Pavone 001 (CoRR, 2025)

RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models. - Jacky Kwok; Christopher Agia; Rohan Sinha; Matthew Foutter; Shulu Li; Ion Stoica; Azalia Mirhoseini; Marco Pavone 001 (CoRR, 2025)

CUPID: Curating Data your Robot Loves with Influence Functions. - Christopher Agia; Rohan Sinha; Jingyun Yang; Rika Antonova; Marco Pavone 001; Haruki Nishimura; Masha Itkina; Jeannette Bohg (CoRR, 2025)

Leveraging Correlation Across Test Platforms for Variance-Reduced Metric Estimation. - Rachel Luo; Heng Yang; Michael Watson; Apoorva Sharma; Sushant Veer; Edward Schmerling; Marco Pavone 001 (CoRR, 2025)

Martian World Models: Controllable Video Synthesis with Physically Accurate 3D Reconstructions. - Longfei Li; Zhiwen Fan; Wenyan Cong; Xinhang Liu; Yuyang Yin; Matthew Foutter; Panwang Pan; Chenyu You; Yue Wang 041; Zhangyang Wang; Yao Zhao 001; Marco Pavone 001; et al. (CoRR, 2025)

ARMOR: Aligning Secure and Safe Large Language Models via Meticulous Reasoning. - Zhengyue Zhao; Yingzi Ma; Somesh Jha; Marco Pavone 001; Chaowei Xiao (CoRR, 2025)

LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences. - Yusuke Hirota; Boyi Li; Ryo Hachiuma; Yueh-Hua Wu; Boris Ivanovic; Yuta Nakashima; Marco Pavone 001; Yejin Choi; Yu-Chiang Frank Wang; Chao-Han Huck Yang (CoRR, 2025)

Safety Evaluation of Motion Plans Using Trajectory Predictors as Forward Reachable Set Estimators. - Kaustav Chakraborty; Zeyuan Feng; Sushant Veer; Apoorva Sharma; Wenhao Ding; Sever Topan; Boris Ivanovic; Marco Pavone 001; Somil Bansal (CoRR, 2025)

Estimating the Convex Hull of the Image of a Set with Smooth Boundary: Error Bounds and Applications. - Thomas Lew; Riccardo Bonalli; Lucas Janson; Marco Pavone 001 (Discret. Comput. Geom., 2025)

Your Reward Function for RL is Your Best PRM for Search: Unifying RL and Search-Based TTS. - Can Jin; Yang Zhou 019; Qixin Zhang 001; Hongwu Peng; Di Zhang; Marco Pavone 001; Ligong Han; Zhang-Wei Hong; Tong Che; Dimitris N. Metaxas (CoRR, 2025)