Marco Pavone

According to our database1, Marco Pavone authored at least 196 papers between 2002 and 2021.

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Bibliography

2021
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach.
IEEE Robotics Autom. Lett., 2021

Efficient Large-Scale Multi-Drone Delivery using Transit Networks.
J. Artif. Intell. Res., 2021

Sketching Curvature for Efficient Out-of-Distribution Detection for Deep Neural Networks.
CoRR, 2021

Risk-sensitive safety analysis using Conditional Value-at-Risk.
CoRR, 2021

Composable Geometric Motion Policies using Multi-Task Pullback Bundle Dynamical Systems.
CoRR, 2021

2020
Intermodal Autonomous Mobility-on-Demand.
IEEE Trans. Intell. Transp. Syst., 2020

On the Interaction Between Autonomous Mobility-on-Demand Systems and the Power Network: Models and Coordination Algorithms.
IEEE Trans. Control. Netw. Syst., 2020

Sampling Training Data for Continual Learning Between Robots and the Cloud.
CoRR, 2020

On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions.
CoRR, 2020

Linear Reduced Order Model Predictive Control.
CoRR, 2020

Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions.
CoRR, 2020

Near-Optimal Multi-Robot Motion Planning with Finite Sampling.
CoRR, 2020

Fast Near-Optimal Heterogeneous Task Allocation via Flow Decomposition.
CoRR, 2020

Task-relevant Representation Learning for Networked Robotic Perception.
CoRR, 2020

Soft Robot Optimal Control Via Reduced Order Finite Element Models.
CoRR, 2020

Online Hypergraph Matching with Delays.
CoRR, 2020

Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics.
CoRR, 2020

Design and Development of a Gecko-Adhesive Gripper for the Astrobee Free-Flying Robot.
CoRR, 2020

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control.
CoRR, 2020

Sequential Convex Programming For Non-Linear Stochastic Optimal Control.
CoRR, 2020

Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control.
CoRR, 2020

Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework.
CoRR, 2020

Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling.
CoRR, 2020

Co-Design to Enable User-Friendly Tools to Assess the Impact of Future Mobility Solutions.
CoRR, 2020

Planning and Operations of Mixed Fleets in Mobility-on-Demand Systems.
CoRR, 2020

Back-propagation through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods.
CoRR, 2020

Markets for Efficient Public Good Allocation.
CoRR, 2020

Soft Tensegrity Systems for Planetary Landing and Exploration.
CoRR, 2020

The Shapeshifter: a Morphing, Multi-Agent, Multi-Modal Robotic Platform for the Exploration of Titan (preprint version).
CoRR, 2020

On the Co-Design of AV-Enabled Mobility Systems.
CoRR, 2020

On Local Computation for Optimization in Multi-Agent Systems.
CoRR, 2020

Shapeshifter: A Multi-Agent, Multi-Modal Robotic Platform for Exploration of Titan.
CoRR, 2020

Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control.
CoRR, 2020

Markets for Efficient Public Good Allocation with Social Distancing.
Proceedings of the Web and Internet Economics - 16th International Conference, 2020

Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Continuous Meta-Learning without Tasks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On the Co-Design of AV-Enabled Mobility Systems.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Interpretable Policies from Formally-Specified Temporal Properties.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Infusing Reachability-Based Safety into Planning and Control for Multi-agent Interactions.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Sample Complexity of Probabilistic Roadmaps via ε-nets.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Revisiting the Asymptotic Optimality of RRT.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Map-Predictive Motion Planning in Unknown Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Joint Design and Control of Electric Vehicle Propulsion Systems.
Proceedings of the 18th European Control Conference, 2020

A Simple and Efficient Tube-based Robust Output Feedback Model Predictive Control Scheme.
Proceedings of the 18th European Control Conference, 2020

Chance-Constrained Sequential Convex Programming for Robust Trajectory Optimization.
Proceedings of the 18th European Control Conference, 2020

Exploiting Locality and Structure for Distributed Optimization in Multi-Agent Systems.
Proceedings of the 18th European Control Conference, 2020

Trajectron++: Dynamically-Feasible Trajectory Forecasting with Heterogeneous Data.
Proceedings of the Computer Vision - ECCV 2020, 2020

Error Bounds for Reduced Order Model Predictive Control.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Counter-example guided synthesis of neural network Lyapunov functions for piecewise linear systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

A Vehicle Coordination and Charge Scheduling Algorithm for Electric Autonomous Mobility-on-Demand Systems.
Proceedings of the 2020 American Control Conference, 2020

2019
Analysis, Control, and Evaluation of Mobility-on-Demand Systems: A Queueing-Theoretical Approach.
IEEE Trans. Control. Netw. Syst., 2019

A Framework for Time-Consistent, Risk-Sensitive Model Predictive Control: Theory and Algorithms.
IEEE Trans. Autom. Control., 2019

A real-time framework for kinodynamic planning in dynamic environments with application to quadrotor obstacle avoidance.
Robotics Auton. Syst., 2019

Robot Motion Planning in Learned Latent Spaces.
IEEE Robotics Autom. Lett., 2019

A BCMP network approach to modeling and controlling autonomous mobility-on-demand systems.
Int. J. Robotics Res., 2019

Multi-objective optimal control for proactive decision making with temporal logic models.
Int. J. Robotics Res., 2019

Towards a Co-Design Framework for Future Mobility Systems.
CoRR, 2019

Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization.
CoRR, 2019

Bilevel Optimization for Planning through Contact: A Semidirect Method.
CoRR, 2019

On the Interaction between Autonomous Mobility on Demand Systems and Power Distribution Networks - An Optimal Power Flow Approach.
CoRR, 2019

Scalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe Optimization.
Proceedings of the Robotics: Science and Systems XV, 2019

A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization.
Proceedings of the Robotics: Science and Systems XV, 2019

Network Offloading Policies for Cloud Robotics: A Learning-Based Approach.
Proceedings of the Robotics: Science and Systems XV, 2019

Trajectory Optimization on Manifolds: A Theoretically-Guaranteed Embedded Sequential Convex Programming Approach.
Proceedings of the Robotics: Science and Systems XV, 2019

High-Dimensional Optimization in Adaptive Random Subspaces.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Backpropagation for Parametric STL.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

A Model Predictive Control Scheme for Intermodal Autonomous Mobility-on-Demand.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Optimal Routing and Energy Management Strategies for Plug-in Hybrid Electric Vehicles.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Model Predictive Control of Ride-sharing Autonomous Mobility-on-Demand Systems.
Proceedings of the International Conference on Robotics and Automation, 2019

BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming.
Proceedings of the International Conference on Robotics and Automation, 2019

The Trajectron: Probabilistic Multi-Agent Trajectory Modeling With Dynamic Spatiotemporal Graphs.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Congestion-aware Routing Scheme for Autonomous Mobility-on-Demand Systems.
Proceedings of the 17th European Control Conference, 2019

Reduced Order Model Predictive Control For Setpoint Tracking.
Proceedings of the 17th European Control Conference, 2019

Beyond The Force: Using Quadcopters to Appropriate Objects and the Environment for Haptics in Virtual Reality.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

A Risk-Sensitive Finite-Time Reachability Approach for Safety of Stochastic Dynamic Systems.
Proceedings of the 2019 American Control Conference, 2019

Risk-Sensitive Generative Adversarial Imitation Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Robust and Adaptive Planning under Model Uncertainty.
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018
Risk-sensitive inverse reinforcement learning via semi- and non-parametric methods.
Int. J. Robotics Res., 2018

Deterministic sampling-based motion planning: Optimality, complexity, and performance.
Int. J. Robotics Res., 2018

Modeling Multimodal Dynamic Spatiotemporal Graphs.
CoRR, 2018

Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming.
CoRR, 2018

Review of Multi-Agent Algorithms for Collective Behavior: a Structural Taxonomy.
CoRR, 2018

Routing autonomous vehicles in congested transportation networks: structural properties and coordination algorithms.
Auton. Robots, 2018

The Team Surviving Orienteers problem: routing teams of robots in uncertain environments with survival constraints.
Auton. Robots, 2018

Learning Stabilizable Dynamical Systems via Control Contraction Metrics.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Robust Tracking with Model Mismatch for Fast and Safe Planning: An SOS Optimization Approach.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Meta-learning Priors for Efficient Online Bayesian Regression.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Signal Temporal Logic Meets Reachability: Connections and Applications.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies.
Proceedings of the Robotics: Science and Systems XIV, 2018

Stochastic Model Predictive Control for Autonomous Mobility on Demand.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

On the Interaction between Autonomous Mobility-on-Demand and Public Transportation Systems.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

On Infusing Reachability-Based Safety Assurance Within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Reach-Avoid Problems via Sum-or-Squares Optimization and Dynamic Programming.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Generative Modeling of Multimodal Multi-Human Behavior.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Cooperative Object Transport in 3D with Multiple Quadrotors Using No Peer Communication.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Learning Sampling Distributions for Robot Motion Planning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Robust Visual Localization for Hopping Rovers on Small Bodies.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Reach-Avoid Games Via Mixed-Integer Second-Order Cone Programming.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Cellular Network Traffic Scheduling With Deep Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria.
J. Mach. Learn. Res., 2017

Design, Control, and Experimentation of Internally-Actuated Rovers for the Exploration of Low-gravity Planetary Bodies.
J. Field Robotics, 2017

Robust Motion Planning via Perception-Aware Multiobjective Search on GPUs.
CoRR, 2017

A Framework for Time-Consistent, Risk-Averse Model Predictive Control: Theory and Algorithms.
CoRR, 2017

Special issue on selected and extended papers from SIMPAR 2016.
Adv. Robotics, 2017

Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning.
Proceedings of the Robotics: Science and Systems XIII, 2017

Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models.
Proceedings of the Robotics: Science and Systems XIII, 2017

How Should a Robot Assess Risk? Towards an Axiomatic Theory of Risk in Robotics.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Perception-Aware Motion Planning via Multiobjective Search on GPUs.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Stochastic Motion Planning for Hopping Rovers on Small Solar System Bodies.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Multi-objective Optimal Control for Proactive Decision Making with Temporal Logic Models.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

The Matroid Team Surviving Orienteers problem: Constrained routing of heterogeneous teams with risky traversal.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

The Team Surviving Orienteers Problem: Routing Robots in Uncertain Environments with Survival Constraints.
Proceedings of the First IEEE International Conference on Robotic Computing, 2017

Group Marching Tree: Sampling-Based Approximately Optimal Motion Planning on GPUs.
Proceedings of the First IEEE International Conference on Robotic Computing, 2017

Robust online motion planning via contraction theory and convex optimization.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Real-time stochastic kinodynamic motion planning via multiobjective search on GPUs.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Force and moment constraints of a curved surface gripper and wrist for assistive free flyers.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Trajectory Optimization for Dynamic Grasping in Space Using Adhesive Grippers.
Proceedings of the Field and Service Robotics, 2017

The risk-sensitive coverage problem: Multi-robot routing under uncertainty with service level and survival constraints.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Flying Smartphones: When Portable Computing Sprouts Wings.
IEEE Pervasive Comput., 2016

Control of robotic mobility-on-demand systems: A queueing-theoretical perspective.
Int. J. Robotics Res., 2016

Optimized and Trusted Collision Avoidance for Unmanned Aerial Vehicles using Approximate Dynamic Programming (Technical Report).
CoRR, 2016

Fast, Safe, and Propellant-Efficient Spacecraft Planning under Clohessy-Wiltshire-Hill Dynamics.
CoRR, 2016

Autonomous Vehicle Routing in Congested Road Networks.
CoRR, 2016

Mixed Strategy for Constrained Stochastic Optimal Control.
CoRR, 2016

Routing Autonomous Vehicles in Congested Transportation Networks: Structural Properties and Coordination Algorithms.
Proceedings of the Robotics: Science and Systems XII, University of Michigan, Ann Arbor, Michigan, USA, June 18, 2016

Experimental Methods for Mobility and Surface Operations of Microgravity Robots.
Proceedings of the International Symposium on Experimental Robotics, 2016

Model predictive control of autonomous mobility-on-demand systems.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Optimized and trusted collision avoidance for unmanned aerial vehicles using approximate dynamic programming.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Free-flyer acquisition of spinning objects with gecko-inspired adhesives.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Simultaneous model identification and task satisfaction in the presence of temporal logic constraints.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Risk aversion in finite Markov Decision Processes using total cost criteria and average value at risk.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Autonomous calibration of MEMS disk resonating gyroscope for improved sensor performance.
Proceedings of the 2016 American Control Conference, 2016

2015
Multi-vehicle Routing.
Proceedings of the Encyclopedia of Systems and Control, 2015

Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions.
Int. J. Robotics Res., 2015

Trading Safety Versus Performance: Rapid Deployment of Robotic Swarms with Robust Performance Constraints.
CoRR, 2015

Guest Editorial: Special issue on constrained decision-making in robotics.
Auton. Robots, 2015

Chance-constrained dynamic programming with application to risk-aware robotic space exploration.
Auton. Robots, 2015

Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty.
Proceedings of the Robotics Research, 2015

An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Decentralized algorithms for 3D symmetric formations in robotic networks - a contraction theory approach.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Optimal sampling-based motion planning under differential constraints: The driftless case.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Toward a real-time framework for solving the kinodynamic motion planning problem.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Design, Control, and Experimentation of Internally-Actuated Rovers for the Exploration of Low-Gravity Planetary Bodies.
Proceedings of the Field and Service Robotics, 2015

A convex optimization approach to smooth trajectories for motion planning with car-like robots.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Optimal sampling-based motion planning under differential constraints: The drift case with linear affine dynamics.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Models, algorithms, and evaluation for autonomous mobility-on-demand systems.
Proceedings of the American Control Conference, 2015

A queueing network approach to the analysis and control of mobility-on-demand systems.
Proceedings of the American Control Conference, 2015

2014
Rapid multirobot deployment with time constraints.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

A machine learning approach for real-time reachability analysis.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

A dynamical characterization of internally-actuated microgravity mobility systems.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

On the fundamental limitations of performance for distributed decision-making in robotic networks.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A framework for time-consistent, risk-averse model predictive control: Theory and algorithms.
Proceedings of the American Control Conference, 2014

Distributed consensus with mixed time/communication bandwidth performance metrics.
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013
Asymptotically Optimal Algorithms for One-to-One Pickup and Delivery Problems With Applications to Transportation Systems.
IEEE Trans. Autom. Control., 2013

Fast Marching Trees: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions - Extended Version.
CoRR, 2013

Fast Marching Trees: A Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions.
Proceedings of the Robotics Research, 2013

Internally-actuated rovers for all-access surface mobility: Theory and experimentation.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

A uniform-grid discretization algorithm for stochastic optimal control with risk constraints.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Rebalancing the rebalancers: optimally routing vehicles and drivers in mobility-on-demand systems.
Proceedings of the American Control Conference, 2013

Stochastic optimal control with dynamic, time-consistent risk constraints.
Proceedings of the American Control Conference, 2013

Decentralized decision-making on robotic networks with hybrid performance metrics.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Robotic load balancing for mobility-on-demand systems.
Int. J. Robotics Res., 2012

Asymptotically Optimal Algorithms for Pickup and Delivery Problems with Application to Large-Scale Transportation Systems
CoRR, 2012

Models and efficient algorithms for pickup and delivery problems on roadmaps.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A risk-constrained multi-stage decision making approach to the architectural analysis of planetary missions.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Cost bounds for Pickup and Delivery Problems with application to large-scale transportation systems.
Proceedings of the American Control Conference, 2012

2011
Kirkman's Tetrahedron and the Fifteen Schoolgirl Problem.
Am. Math. Mon., 2011

Adaptive and Distributed Algorithms for Vehicle Routing in a Stochastic and Dynamic Environment.
IEEE Trans. Autom. Control., 2011

Distributed Algorithms for Environment Partitioning in Mobile Robotic Networks.
IEEE Trans. Autom. Control., 2011

Dynamic Vehicle Routing for Robotic Systems.
Proc. IEEE, 2011

Load Balancing for Mobility-on-Demand Systems.
Proceedings of the Robotics: Science and Systems VII, 2011

An asymptotically optimal algorithm for pickup and delivery problems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Dynamic Vehicle Routing with Priority Classes of Stochastic Demands.
SIAM J. Control. Optim., 2010

Dynamic vehicle routing with stochastic time constraints.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Fundamental performance limits and efficient polices for Transportation-On-Demand systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Sharing the load.
IEEE Robotics Autom. Mag., 2009

A Stochastic and Dynamic Vehicle Routing Problem with Time Windows and Customer Impatience.
Mob. Networks Appl., 2009

Equitable Partitioning Policies for Mobile Robotic Networks
CoRR, 2009

Distributed and Adaptive Algorithms for Vehicle Routing in a Stochastic and Dynamic Environment
CoRR, 2009

Equitable partitioning policies for robotic networks.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Distributed control of spacecraft formation via cyclic pursuit: Theory and experiments.
Proceedings of the American Control Conference, 2009

Dynamic multi-vehicle routing with multiple classes of demands.
Proceedings of the American Control Conference, 2009

2008
Dynamic vehicle routing with heterogeneous demands.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Distributed policies for equitable partitioning: Theory and applications.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Decentralized vehicle routing in a stochastic and dynamic environment with customer impatience.
Proceedings of the 1st International Conference on Robot Communication and Coordination, 2007

Decentralized algorithms for stochastic and dynamic vehicle routing with general demand distribution.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Decentralized policies for geometric pattern formation.
Proceedings of the American Control Conference, 2007

2002
Concept and Implementation of an Internet Video Recorder.
Proceedings of the IADIS International Conference WWW/Internet 2002, 2002


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