Elimination of False-Locking in Long Loop Phase-Locked Receivers. - Joseph P. McGeehan; Jonathan P. How (IEEE Trans. Commun., 1982)

Robust controllers for the Middeck Active Control Experiment using Popov controller synthesis. - Jonathan P. How; Steven R. Hall; Wassim M. Haddad 001 (IEEE Trans. Control. Syst. Technol., 1994)

Optimal Popov controller analysis and synthesis for systems with real parameter uncertainties. - Jonathan P. How; Emmanuel G. Collins Jr.; Wassim M. Haddad 001 (IEEE Trans. Control. Syst. Technol., 1996)

Finite element model-based robust controllers for the middeck active control experiment (MACE). - Jonathan P. How; Roger Glaese; Simon C. O. Grocott; David W. Miller (IEEE Trans. Control. Syst. Technol., 1996)

Output feedback controller synthesis for piecewise-affine systems with multiple equilibria. - Luis Rodrigues; Arash Hassibi; Jonathan P. How (ACC, 2000)

Estimation-based multi-channel adaptive algorithm for filtered-LMS problems. - Bijan Sayyarrodsari; Jonathan P. How; Babak Hassibi; Alain Carrier (ACC, 2000)

Control with random communication delays via a discrete-time jump system approach. - Lin Xiao; Arash Hassibi; Jonathan P. How (ACC, 2000)

An Indoor Absolute Positioning System with No Line of Sight Restrictions and Building-Wide Coverage. - Eric Prigge; Jonathan P. How (ICRA, 2000)

Analysis of the impact of sensor noise on formation flying control. - Jonathan P. How; Michael Tillerson (ACC, 2001)

Automated control design for a piecewise-affine approximation of a class of nonlinear systems. - Luis Rodrigues; Jonathan P. How (ACC, 2001)

Model free subspace based H∞ control. - Bruce R. Woodley; Jonathan P. How; Robert L. Kosut (ACC, 2001)

Observer-based control of piecewise-affine systems. - Luis Rodrigues; Jonathan P. How (CDC, 2001)

Mixed integer programming for multi-vehicle path planning. - Tom Schouwenaars; Bart De Moor; Eric Feron; Jonathan P. How (ECC, 2001)

Estimation-based synthesis of H∞-optimal adaptive FIR filters for filtered-LMS problems. - Bijan Sayyarrodsari; Jonathan P. How; Babak Hassibi; Alain Carrier (IEEE Trans. Signal Process., 2001)

Receding horizon control of autonomous aerial vehicles. - John S. Bellingham; Arthur Richards; Jonathan P. How (ACC, 2002)

Aircraft trajectory planning with collision avoidance using mixed integer linear programming. - Arthur Richards; Jonathan P. How (ACC, 2002)

Advanced guidance algorithms for spacecraft formation-keeping. - Michael Tillerson; Jonathan P. How (ACC, 2002)

Cooperative path planning for multiple UAVs in dynamic and uncertain environments. - John S. Bellingham; Michael Tillerson; Mehdi Alighanbari; Jonathan P. How (CDC, 2002)

Coordination and control of multiple UAVs with timing constraints and loitering. - Mehdi Alighanbari; Yoshiaki Kuwata; Jonathan P. How (ACC, 2003)

Model predictive control of vehicle maneuvers with guaranteed completion time and robust feasibility. - Arthur Richards; Jonathan P. How (ACC, 2003)

Robust motion planning using a maneuver automation with built-in uncertainties. - Tom Schouwenaars; Bernard Mettler; Eric Feron; Jonathan P. How (ACC, 2003)

Distributed coordination and control of formation flying spacecraft. - Michael Tillerson; Louis Breger; Jonathan P. How (ACC, 2003)

Synthesis of piecewise-affine controllers for stabilization of nonlinear systems. - Luis Rodrigues; Jonathan P. How (CDC, 2003)

Modeling and H∞ control for switched linear parameter-varying missile autopilot. - Sungyung Lim; Jonathan P. How (IEEE Trans. Control. Syst. Technol., 2003)

Coordination and control experiments on a multi-vehicle testbed. - Ellis King; Yoshiaki Kuwata; Mehdi Alighanbari; Luca F. Bertuccelli; Jonathan P. How (ACC, 2004)

Stable trajectory design for highly constrained environments using receding horizon control. - Yoshiaki Kuwata; Jonathan P. How (ACC, 2004)

A decentralized algorithm for robust constrained model predictive control. - Arthur Richards; Jonathan P. How (ACC, 2004)

Receding horizon path planning with implicit safety guarantees. - Tom Schouwenaars; Jonathan P. How; Eric Feron (ACC, 2004)

Robust planning for coupled cooperative UAV missions. - Luca F. Bertuccelli; Mehdi Alighanbari; Jonathan P. How (CDC, 2004)

Decentralized model predictive control of cooperating UAVs. - Arthur Richards; Jonathan P. How (CDC, 2004)

Hybrid Model for Trajectory Planning of Agile Autonomous Vehicles. - Tom Schouwenaars; Bernard Mettler; Eric Feron; Jonathan P. How (J. Aerosp. Comput. Inf. Commun., 2004)

Formation flying control for the MMS mission using GVE-based MPC. - Louis Breger; Jonathan P. How (CCA, 2005)

Cooperative task assignment of unmanned aerial vehicles in adversarial environments. - Mehdi Alighanbari; Jonathan P. How (ACC, 2005)

Model predictive control of spacecraft formations with sensing noise. - Louis Breger; Jonathan P. How; Arthur Richards (ACC, 2005)

Trajectory optimization for satellite reconfiguration maneuvers with position and attitude constraints. - Ian Garcia; Jonathan P. How (ACC, 2005)

Receding horizon implementation of MILP for vehicle guidance. - Yoshiaki Kuwata; Jonathan P. How (ACC, 2005)

Robust model predictive control with imperfect information. - Arthur Richards; Jonathan P. How (ACC, 2005)

Mixed-integer programming for control. - Arthur Richards; Jonathan P. How (ACC, 2005)

Decentralized Task Assignment for Unmanned Aerial Vehicles. - Mehdi Alighanbari; Jonathan P. How (CDC/ECC, 2005)

Robust UAV Search for Environments with Imprecise Probability Maps. - Luca F. Bertuccelli; Jonathan P. How (CDC/ECC, 2005)

Improving the Efficiency of Rapidly-exploring Random Trees Using a Potential Function Planner. - Ian Garcia; Jonathan P. How (CDC/ECC, 2005)

An unbiased Kalman consensus algorithm. - Mehdi Alighanbari; Jonathan P. How (ACC, 2006)

Search for dynamic targets with uncertain probability maps. - Luca F. Bertuccelli; Jonathan P. How (ACC, 2006)

Decentralized inventory control for large-scale supply chains. - Gökhan Inalhan; Jonathan P. How (ACC, 2006)

Decentralized robust receding horizon control for multi-vehicle guidance. - Yoshiaki Kuwata; Arthur Richards; Tom Schouwenaars; Jonathan P. How (ACC, 2006)

Robust stable model predictive control with constraint tightening. - Arthur Richards; Jonathan P. How (ACC, 2006)

Multi-vehicle path planning for non-line of sight communication. - Tom Schouwenaars; Eric Feron; Jonathan P. How (ACC, 2006)

A Robust Approach to the UAV Task Assignment Problem. - Mehdi Alighanbari; Luca F. Bertuccelli; Jonathan P. How (CDC, 2006)

UAV Search for Dynamic Targets with Uncertain Motion Models. - Luca F. Bertuccelli; Jonathan P. How (CDC, 2006)

Decentralized Cooperative Trajectory Optimization for UAVs with Coupling Constraints. - Yoshiaki Kuwata; Jonathan P. How (CDC, 2006)

Experimental demonstration of coordinated control for multi-vehicle teams. - Ellis King; Yoshiaki Kuwata; Jonathan P. How (Int. J. Syst. Sci., 2006)

Ensemble-Based Adaptive Targeting of Mobile Sensor Networks. - Han-Lim Choi; Jonathan P. How; James A. Hansen (ACC, 2007)

Three-Dimensional Flight Experiments Using On-Line Mixed-Integer Linear Programming Trajectory Optimization. - Kieran Culligan; Mario J. Valenti; Yoshiaki Kuwata; Jonathan P. How (ACC, 2007)

Robust Cooperative Decentralized Trajectory Optimization using Receding Horizon MILP. - Yoshiaki Kuwata; Jonathan P. How (ACC, 2007)

Robust Receding Horizon Control using Generalized Constraint Tightening. - Yoshiaki Kuwata; Arthur Richards; Jonathan P. How (ACC, 2007)

Embedding Health Management into Mission Tasking for UAV Teams. - Mario J. Valenti; Brett Bethke; Jonathan P. How; Daniela Pucci de Farias; John Vian (ACC, 2007)

Adaptive Observation Strategies for Forecast Error Minimization. - Nicholas Roy; Han-Lim Choi; Daniel Gombos; James A. Hansen; Jonathan P. How; Sooho Park (International Conference on Computational Science (1), 2007)

The MIT Indoor Multi-Vehicle Flight Testbed. - Mario J. Valenti; Brett Bethke; Daniel Dale; Adrian A. Frank; James S. McGrew; Spencer Ahrens; Jonathan P. How; John Vian (ICRA, 2007)

Robust distributed model predictive control. - Arthur Richards; Jonathan P. How (Int. J. Control, 2007)

Distributed Robust Receding Horizon Control for Multivehicle Guidance. - Yoshiaki Kuwata; Arthur Richards; Tom Schouwenaars; Jonathan P. How (IEEE Trans. Control. Syst. Technol., 2007)

Robust Markov Decision Processes using Sigma Point sampling. - Luca F. Bertuccelli; Jonathan P. How (ACC, 2008)

Group health management of UAV teams with applications to persistent surveillance. - Brett Bethke; Jonathan P. How; John Vian (ACC, 2008)

An outer-approximation algorithm for generalized maximum entropy sampling. - Han-Lim Choi; Jonathan P. How; Paul I. Barton (ACC, 2008)

Optimization of mobile backbone networks: Improved algorithms and approximation. - Emily M. Craparo; Jonathan P. How; Eytan H. Modiano (ACC, 2008)

Estimation of non-stationary Markov Chain transition models. - Luca F. Bertuccelli; Jonathan P. How (CDC, 2008)

Approximate dynamic programming using support vector regression. - Brett Bethke; Jonathan P. How; Asuman E. Ozdaglar (CDC, 2008)

Continuous motion planning for information forecast. - Han-Lim Choi; Jonathan P. How (CDC, 2008)

Simultaneous placement and assignment for exploration in mobile backbone networks. - Emily M. Craparo; Jonathan P. How; Eytan H. Modiano (CDC, 2008)

Equivalence between Approximate Dynamic Inversion and Proportional-Integral control. - Justin Teo; Jonathan P. How (CDC, 2008)

Autonomous aircraft flight control for constrained environments. - Jonathan P. How; James S. McGrew; Adrian A. Frank; George H. Hines (ICRA, 2008)

Motion planning for urban driving using RRT. - Yoshiaki Kuwata; Gaston A. Fiore; Justin Teo; Emilio Frazzoli; Jonathan P. How (IROS, 2008)

Unbiased Kalman Consensus Algorithm. - Mehdi Alighanbari; Jonathan P. How (J. Aerosp. Comput. Inf. Commun., 2008)

The MIT-Cornell collision and why it happened. - Luke Fletcher; Seth J. Teller; Edwin Olson; David Moore 003; Yoshiaki Kuwata; Jonathan P. How; John J. Leonard; Isaac Miller; Mark E. Campbell; Dan Huttenlocher; Aaron Nathan; Frank-Robert Kline (J. Field Robotics, 2008)

A perception-driven autonomous urban vehicle. - John J. Leonard; Jonathan P. How; Seth J. Teller; Mitch Berger; Stefan Campbell; Gaston A. Fiore; Luke Fletcher; Emilio Frazzoli; Albert S. Huang; Sertac Karaman; Olivier Koch; Yoshiaki Kuwata; et al. (J. Field Robotics, 2008)

UAV Task Assignment. - Brett Bethke; Mario J. Valenti; Jonathan P. How (IEEE Robotics Autom. Mag., 2008)

Robust adaptive Markov Decision Processes in multi-vehicle applications. - Luca F. Bertuccelli; Brett Bethke; Jonathan P. How (ACC, 2009)

Approximate dynamic programming using Bellman residual elimination and Gaussian process regression. - Brett Bethke; Jonathan P. How (ACC, 2009)

On the roles of smoothing in planning of informative paths. - Han-Lim Choi; Jonathan P. How (ACC, 2009)

On Approximate Dynamic Inversion and Proportional-Integral control. - Justin Teo; Jonathan P. How; Eugene Lavretsky (ACC, 2009)

Anti-windup compensation for nonlinear systems via gradient projection: Application to adaptive control. - Justin Teo; Jonathan P. How (CDC, 2009)

Vision-based guidance and control of a hovering vehicle in unknown, GPS-denied environments. - Spencer Ahrens; Daniel S. Levine 002; Gregory Andrews; Jonathan P. How (ICRA, 2009)

Increasing autonomy of UAVs. - Jonathan P. How; Cameron S. R. Fraser; Karl C. Kulling; Luca F. Bertuccelli; Olivier Toupet; Luc Brunet; Abraham Bachrach; Nicholas Roy (IEEE Robotics Autom. Mag., 2009)

Real-Time Motion Planning With Applications to Autonomous Urban Driving. - Yoshiaki Kuwata; Sertac Karaman; Justin Teo; Emilio Frazzoli; Jonathan P. How; Gaston A. Fiore (IEEE Trans. Control. Syst. Technol., 2009)

Consensus-Based Decentralized Auctions for Robust Task Allocation. - Han-Lim Choi; Luc Brunet; Jonathan P. How (IEEE Trans. Robotics, 2009)

Actor-Critic Policy Learning in Cooperative Planning. - Josh Redding; Alborz Geramifard; Jonathan P. How (AAAI Spring Symposium: Embedded Reasoning, 2010)

Approximate dynamic programming using model-free Bellman Residual Elimination. - Brett Bethke; Jonathan P. How (ACC, 2010)

Agent capability in persistent mission planning using approximate dynamic programming. - Brett Bethke; Joshua D. Redding; Jonathan P. How; Matthew A. Vavrina; John Vian (ACC, 2010)

Decentralized task allocation for heterogeneous teams with cooperation constraints. - Han-Lim Choi; Andrew K. Whitten; Jonathan P. How (ACC, 2010)

A hyperparameter-based approach for consensus under uncertainties. - Cameron S. R. Fraser; Luca F. Bertuccelli; Han-Lim Choi; Jonathan P. How (ACC, 2010)

Bounds on tracking error using closed-loop rapidly-exploring random trees. - Brandon D. Luders; Sertac Karaman; Emilio Frazzoli; Jonathan P. How (ACC, 2010)

Decentralized planning for complex missions with dynamic communication constraints. - Sameera S. Ponda; Josh Redding; Han-Lim Choi; Jonathan P. How; Matthew A. Vavrina; John Vian (ACC, 2010)

An intelligent Cooperative Control Architecture. - Joshua D. Redding; Alborz Geramifard; Aditya Undurti; Han-Lim Choi; Jonathan P. How (ACC, 2010)

Stability analysis for class of switched nonlinear systems. - Hamid Reza Shaker; Jonathan P. How (ACC, 2010)

Analysis of gradient projection anti-windup scheme. - Justin Teo; Jonathan P. How (ACC, 2010)

Geometric properties of gradient projection anti-windup compensated systems. - Justin Teo; Jonathan P. How (ACC, 2010)

Analysis of mutual information for informative forecasting using mobile sensors. - Han-Lim Choi; Jonathan P. How (ICARCV, 2010)

A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments. - Seth J. Teller; Matthew R. Walter; Matthew E. Antone; Andrew Correa; Randall Davis; Luke Fletcher; Emilio Frazzoli; Jim Glass 001; Jonathan P. How; Albert S. Huang; Jeong hwan Jeon; Sertac Karaman; et al. (ICRA, 2010)

An online algorithm for constrained POMDPs. - Aditya Undurti; Jonathan P. How (ICRA, 2010)

Threat-aware path planning in uncertain urban environments. - Georges Aoude; Brandon Luders; Daniel S. Levine 002; Jonathan P. How (IROS, 2010)

Threat assessment design for driver assistance system at intersections. - Georges Aoude; Brandon D. Luders; Kenneth K. H. Lee; Daniel S. Levine 002; Jonathan P. How (ITSC, 2010)

Continuous trajectory planning of mobile sensors for informative forecasting. - Han-Lim Choi; Jonathan P. How (Autom., 2010)

Proportional-Integral Controllers for Minimum-Phase Nonaffine-in-Control Systems. - Justin Teo; Jonathan P. How; Eugene Lavretsky (IEEE Trans. Autom. Control., 2010)

UAV cooperative control with stochastic risk models. - Alborz Geramifard; Joshua D. Redding; Nicholas Roy; Jonathan P. How (ACC, 2011)

Proactive planning for persistent missions using composite model-reference adaptive control and approximate dynamic programming. - Joshua D. Redding; Zac Dydek; Jonathan P. How; Matthew A. Vavrina; John Vian (ACC, 2011)

Decentralized task allocation with coupled constraints in complex missions. - Andrew K. Whitten; Han-Lim Choi; Luke B. Johnson; Jonathan P. How (ACC, 2011)

Region of attraction comparison for gradient projection anti-windup compensated systems. - Justin Teo; Jonathan P. How (CDC/ECC, 2011)

Real-time dynamic planning to maintain network connectivity in a team of unmanned air vehicles. - Andrew N. Kopeikin; Sameera S. Ponda; Luke B. Johnson; Olivier Toupet; Jonathan P. How (GLOBECOM Workshops, 2011)

Online Discovery of Feature Dependencies. - Alborz Geramifard; Finale Doshi; Josh Redding; Nicholas Roy; Jonathan P. How (ICML, 2011)

Decentralized path planning for multi-agent teams in complex environments using rapidly-exploring random trees. - Vishnu Desaraju; Jonathan P. How (ICRA, 2011)

Design and flight testing of an autonomous variable-pitch quadrotor. - Buddy Michini; Josh Redding; N. Kemal Ure; Mark Cutler; Jonathan P. How (ICRA, 2011)

A decentralized approach to multi-agent planning in the presence of constraints and uncertainty. - Aditya Undurti; Jonathan P. How (ICRA, 2011)

Behavior classification algorithms at intersections and validation using naturalistic data. - Georges Aoude; Vishnu Desaraju; Lauren H. Stephens; Jonathan P. How (Intelligent Vehicles Symposium, 2011)

Active Exploration in Robust Unmanned Vehicle Task Assignment. - Luca F. Bertuccelli; Jonathan P. How (J. Aerosp. Comput. Inf. Commun., 2011)

Efficient Targeting of Sensor Networks for Large-Scale Systems. - Han-Lim Choi; Jonathan P. How (IEEE Trans. Control. Syst. Technol., 2011)

Cooperative Distributed Robust Trajectory Optimization Using Receding Horizon MILP. - Yoshiaki Kuwata; Jonathan P. How (IEEE Trans. Control. Syst. Technol., 2011)

Throughput Optimization in Mobile Backbone Networks. - Emily M. Craparo; Jonathan P. How; Eytan H. Modiano (IEEE Trans. Mob. Comput., 2011)

Model estimation within planning and learning. - Alborz Geramifard; Joshua D. Redding; Joshua Mason Joseph; Nicholas Roy; Jonathan P. How (ACC, 2012)

Distributed chance-constrained task allocation for autonomous multi-agent teams. - Sameera S. Ponda; Luke B. Johnson; Jonathan P. How (ACC, 2012)

Scalable, MDP-based planning for multiple, cooperating agents. - Joshua D. Redding; N. Kemal Ure; Jonathan P. How; Matthew A. Vavrina; John Vian (ACC, 2012)

Allowing non-submodular score functions in distributed task allocation. - Luke B. Johnson; Han-Lim Choi; Sameera S. Ponda; Jonathan P. How (CDC, 2012)

Multi-UAV network control through dynamic task allocation: Ensuring data-rate and bit-error-rate support. - Andrew N. Kopeikin; Sameera S. Ponda; Luke B. Johnson; Jonathan P. How (GLOBECOM Workshops, 2012)

Improving the efficiency of Bayesian inverse reinforcement learning. - Bernard Michini; Jonathan P. How (ICRA, 2012)

Bayesian Nonparametric Inverse Reinforcement Learning. - Bernard Michini; Jonathan P. How (ECML/PKDD (2), 2012)

Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery. - N. Kemal Ure; Alborz Geramifard; Girish Chowdhary 001; Jonathan P. How (ECML/PKDD (2), 2012)

Decentralized path planning for multi-agent teams with complex constraints. - Vishnu Desaraju; Jonathan P. How (Auton. Robots, 2012)

Guaranteed infinite horizon avoidance of unpredictable, dynamically constrained obstacles. - Albert Wu; Jonathan P. How (Auton. Robots, 2012)

A hyperparameter consensus method for agreement under uncertainty. - Cameron S. R. Fraser; Luca F. Bertuccelli; Han-Lim Choi; Jonathan P. How (Autom., 2012)

Operator Object Function Guidance for a Real-Time Unmanned Vehicle Scheduling Algorithm. - Andrew S. Clare; Mary L. Cummings; Jonathan P. How; Andrew K. Whitten; Olivier Toupet (J. Aerosp. Comput. Inf. Commun., 2012)

Guest Editorial: Communications Challenges and Dynamics for Unmanned Autonomous Vehicles. - Gerard Parr; Steve Hailes; Jonathan P. How; Joe McGeehan; Y. Jay Guo (IEEE J. Sel. Areas Commun., 2012)

Distributed Planning Strategies to Ensure Network Connectivity for Dynamic Heterogeneous Teams. - Sameera S. Ponda; Luke B. Johnson; Andrew N. Kopeikin; Han-Lim Choi; Jonathan P. How (IEEE J. Sel. Areas Commun., 2012)

The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control. - Mary L. Cummings; Jonathan P. How; Andrew K. Whitten; Olivier Toupet (Proc. IEEE, 2012)

Driver Behavior Classification at Intersections and Validation on Large Naturalistic Data Set. - Georges Aoude; Vishnu Desaraju; Lauren H. Stephens; Jonathan P. How (IEEE Trans. Intell. Transp. Syst., 2012)

Multiagent allocation of Markov decision process tasks. - Trevor Campbell; Luke B. Johnson; Jonathan P. How (ACC, 2013)

Bayesian nonparametric adaptive control of time-varying systems using Gaussian processes. - Girish Chowdhary 001; Hassan A. Kingravi; Jonathan P. How; Patricio A. Vela (ACC, 2013)

Risk allocation strategies for distributed chance-constrained task allocation. - Sameera S. Ponda; Luke B. Johnson; Jonathan P. How (ACC, 2013)

A Bayesian nonparametric approach to adaptive control using Gaussian Processes. - Girish Chowdhary 001; Hassan A. Kingravi; Jonathan P. How; Patricio A. Vela (CDC, 2013)

A concurrent learning adaptive-optimal control architecture for nonlinear systems. - Girish Chowdhary 001; Maximilian Mühlegg; Jonathan P. How; Florian Holzapfel (CDC, 2013)

Nonparametric adaptive control using Gaussian Processes with online hyperparameter estimation. - Robert C. Grande; Girish Chowdhary 001; Jonathan P. How (CDC, 2013)

Health Aware Planning under uncertainty for UAV missions with heterogeneous teams. - N. Kemal Ure; Girish Chowdhary 001; Jonathan P. How; Matthew A. Vavrina; John Vian (ECC, 2013)

Rapid transfer of controllers between UAVs using learning-based adaptive control. - Girish Chowdhary 001; Tongbin Wu; Mark Cutler; Jonathan P. How (ICRA, 2013)

Reinforcement learning with misspecified model classes. - Joshua Mason Joseph; Alborz Geramifard; John W. Roberts; Jonathan P. How; Nicholas Roy (ICRA, 2013)

Scalable reward learning from demonstration. - Bernard Michini; Mark Cutler; Jonathan P. How (ICRA, 2013)

Sensor Selection in High-Dimensional Gaussian Trees with Nuisances. - Daniel S. Levine 002; Jonathan P. How (NIPS, 2013)

Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture. - Trevor Campbell; Miao Liu 001; Brian Kulis; Jonathan P. How; Lawrence Carin (NIPS, 2013)

Batch-iFDD for Representation Expansion in Large MDPs. - Alborz Geramifard; Thomas J. Walsh 001; Nicholas Roy; Jonathan P. How (UAI, 2013)

Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns. - Georges Aoude; Brandon Luders; Joshua Mason Joseph; Nicholas Roy; Jonathan P. How (Auton. Robots, 2013)

Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture - Trevor Campbell; Miao Liu 001; Brian Kulis; Jonathan P. How (CoRR, 2013)

A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning. - Alborz Geramifard; Thomas J. Walsh 001; Stefanie Tellex; Girish Chowdhary 001; Nicholas Roy; Jonathan P. How (Found. Trends Mach. Learn., 2013)

Information-Theoretic Motion Planning for Constrained Sensor Networks. - Daniel S. Levine 002; Brandon Luders; Jonathan P. How (J. Aerosp. Inf. Syst., 2013)

Intelligent Cooperative Control Architecture: A Framework for Performance Improvement Using Safe Learning. - Alborz Geramifard; Josh Redding; Jonathan P. How (J. Intell. Robotic Syst., 2013)

An outer-approximation approach for information-maximizing sensor selection. - Han-Lim Choi; Jonathan P. How; Paul I. Barton (Optim. Lett., 2013)

Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management. - Yu Fan Chen; N. Kemal Ure; Girish Chowdhary 001; Jonathan P. How; John Vian (ACC, 2014)

Convergence analysis of the Hybrid Information and Plan Consensus Algorithm. - Luke B. Johnson; Han-Lim Choi; Jonathan P. How (ACC, 2014)

An optimizing sampling-based motion planner with guaranteed robustness to bounded uncertainty. - Brandon D. Luders; Jonathan P. How (ACC, 2014)

Potential Game-Theoretic Analysis of a Market-Based Decentralized Task Allocation Algorithm. - Han-Lim Choi; Keum-Seong Kim; Luke B. Johnson; Jonathan P. How (DARS, 2014)

The Hybrid Information and Plan Consensus Algorithm with Imperfect Situational Awareness. - Luke B. Johnson; Han-Lim Choi; Jonathan P. How (DARS, 2014)

Sample Efficient Reinforcement Learning with Gaussian Processes. - Robert C. Grande; Thomas J. Walsh 001; Jonathan P. How (ICML, 2014)

Human aware UAS path planning in urban environments using nonstationary MDPs. - Rakshit Allamaraju; Hassan A. Kingravi; Allan Axelrod; Girish Chowdhary 001; Robert C. Grande; Jonathan P. How; Christopher Crick; Weihua Sheng (ICRA, 2014)

Reinforcement learning with multi-fidelity simulators. - Mark Cutler; Thomas J. Walsh 001; Jonathan P. How (ICRA, 2014)

Health aware stochastic planning for persistent package delivery missions using quadrotors. - Ali-akbar Agha-mohammadi; N. Kemal Ure; Jonathan P. How; John Vian (IROS, 2014)

Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models. - Hongchuan Wei; Wenjie Lu; Pingping Zhu; Silvia Ferrari; Robert H. Klein; Shayegan Omidshafiei; Jonathan P. How (IROS, 2014)

Quantifying Nonlocal Informativeness in High-Dimensional, Loopy Gaussian Graphical Models. - Daniel S. Levine 002; Jonathan P. How (UAI, 2014)

Approximate Decentralized Bayesian Inference. - Trevor Campbell; Jonathan P. How (UAI, 2014)

Real-Time Predictive Modeling and Robust Avoidance of Pedestrians with Uncertain, Changing Intentions. - Sarah Ferguson; Brandon Luders; Robert C. Grande; Jonathan P. How (WAFR, 2014)

Efficient distributed sensing using adaptive censoring-based inference. - Beipeng Mu; Girish Chowdhary 001; Jonathan P. How (Autom., 2014)

Decentralized Variational Bayesian Inference. - Trevor Campbell; Jonathan P. How (CoRR, 2014)

Resource-Constrained Adaptive Search for Sparse Multi-Class Targets with Varying Importance. - Gregory E. Newstadt; Beipeng Mu; Dennis L. Wei; Jonathan P. How; Alfred O. Hero III (CoRR, 2014)

Experimental Validation of Bayesian Nonparametric Adaptive Control Using Gaussian Processes. - Robert C. Grande; Girish Chowdhary 001; Jonathan P. How (J. Aerosp. Inf. Syst., 2014)

Special Issue on Aerospace and Mechanical Applications of Reinforcement Learning and Adaptive Learning Based Control. - Jonathan P. How; Girish Chowdhary 001; Thomas J. Walsh 001 (J. Aerosp. Inf. Syst., 2014)

Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams - Scaling Up the Multiagent Planning with Distributed Learning and Approximate Representations. - N. Kemal Ure; Girish Chowdhary 001; Yu Fan Chen; Jonathan P. How; John Vian (J. Intell. Robotic Syst., 2014)

Probabilistic Planning for Decentralized Multi-Robot Systems. - Christopher Amato; George Dimitri Konidaris; Shayegan Omidshafiei; Ali-akbar Agha-mohammadi; Jonathan P. How; Leslie Pack Kaelbling (AAAI Fall Symposia, 2015)

Bayesian nonparametric set construction for robust optimization. - Trevor Campbell; Jonathan P. How (ACC, 2015)

Hybrid model reference adaptive control for unmatched uncertainties. - John F. Quindlen; Girish Chowdhary 001; Jonathan P. How (ACC, 2015)

Randomized Coordination Search for Scalable Multiagent Planning. - N. Kemal Ure; Jonathan P. How; John Vian (AAMAS, 2015)

Small-variance nonparametric clustering on the hypersphere. - Julian Straub; Trevor Campbell; Jonathan P. How; John W. Fisher III (CVPR, 2015)

Adaptive search for multi-class targets with heterogeneous importance. - Beipeng Mu; Gregory E. Newstadt; Dennis L. Wei; Alfred O. Hero III; Jonathan P. How (FUSION, 2015)

Planning for decentralized control of multiple robots under uncertainty. - Christopher Amato; George Dimitri Konidaris; Gabriel Cruz; Christopher A. Maynor; Jonathan P. How; Leslie Pack Kaelbling (ICRA, 2015)

Decoupled multiagent path planning via incremental sequential convex programming. - Yu Fan Chen; Mark Cutler; Jonathan P. How (ICRA, 2015)

Efficient reinforcement learning for robots using informative simulated priors. - Mark Cutler; Jonathan P. How (ICRA, 2015)

Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions. - Shayegan Omidshafiei; Ali-akbar Agha-mohammadi; Christopher Amato; Jonathan P. How (ICRA, 2015)

Stick-Breaking Policy Learning in Dec-POMDPs. - Miao Liu 001; Christopher Amato; Xuejun Liao; Lawrence Carin; Jonathan P. How (IJCAI, 2015)

Robust incremental SLAM with consistency-checking. - Matthew C. Graham; Jonathan P. How; Donald E. Gustafson (IROS, 2015)

Online heterogeneous multiagent learning under limited communication with applications to forest fire management. - N. Kemal Ure; Shayegan Omidshafiei; Brett Thomas Lopez; Ali-akbar Agha-mohammadi; Jonathan P. How; John Vian (IROS, 2015)

Streaming, Distributed Variational Inference for Bayesian Nonparametrics. - Trevor Campbell; Julian Straub; John W. Fisher III; Jonathan P. How (NIPS, 2015)

Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation. - Beipeng Mu; Ali-akbar Agha-mohammadi; Liam Paull; Matthew C. Graham; Jonathan P. How; John J. Leonard (Robotics: Science and Systems, 2015)

Information-based Active SLAM via Topological Feature Graphs. - Beipeng Mu; Liam Paull; Ali-akbar Agha-mohammadi; John J. Leonard; Jonathan P. How (CoRR, 2015)

A Situationally Aware Voice-commandable Robotic Forklift Working Alongside People in Unstructured Outdoor Environments. - Matthew R. Walter; Matthew E. Antone; Ekapol Chuangsuwanich; Andrew Correa; Randall Davis; Luke Fletcher; Emilio Frazzoli; Yuli Friedman; James R. Glass; Jonathan P. How; Jeong hwan Jeon; Sertac Karaman; et al. (J. Field Robotics, 2015)

RLPy: a value-function-based reinforcement learning framework for education and research. - Alborz Geramifard; Christoph Dann; Robert H. Klein; William Dabney; Jonathan P. How (J. Mach. Learn. Res., 2015)

Bayesian Nonparametric Adaptive Control Using Gaussian Processes. - Girish Chowdhary 001; Hassan A. Kingravi; Jonathan P. How; Patricio A. Vela (IEEE Trans. Neural Networks Learn. Syst., 2015)

Real-World Reinforcement Learning via Multifidelity Simulators. - Mark Cutler; Thomas J. Walsh 001; Jonathan P. How (IEEE Trans. Robotics, 2015)

Bayesian Nonparametric Reward Learning From Demonstration. - Bernard Michini; Thomas J. Walsh 001; Ali-akbar Agha-mohammadi; Jonathan P. How (IEEE Trans. Robotics, 2015)

Importance-Weighted Adaptive Search for Multi-Class Targets. - Gregory E. Newstadt; Beipeng Mu; Dennis L. Wei; Jonathan P. How; Alfred O. Hero III (IEEE Trans. Signal Process., 2015)

Health Aware Planning Under Uncertainty for Collaborating Heterogeneous Teams of Mobile Agents. - N. Kemal Ure; Girish Chowdhary 001; Jonathan P. How; John Vian (Unmanned Syst., 2015)

Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments. - Miao Liu 001; Christopher Amato; Emily P. Anesta; John Daniel Griffith; Jonathan P. How (AAAI, 2016)

Region-of-convergence estimation for learning-based adaptive controllers. - John F. Quindlen; Ufuk Topcu; Girish Chowdhary 001; Jonathan P. How (ACC, 2016)

Adaptive mission planning for coupled human-robot teams. - Christopher J. Shannon; Luke B. Johnson; Kimberly F. Jackson; Jonathan P. How (ACC, 2016)

Information-based Active SLAM via topological feature graphs. - Beipeng Mu; Matthew Giamou; Liam Paull; Ali-akbar Agha-mohammadi; John J. Leonard; Jonathan P. How (CDC, 2016)

Duckietown: An Innovative Way to Teach Autonomy. - Jacopo Tani; Liam Paull; Maria T. Zuber; Daniela Rus; Jonathan P. How; John J. Leonard; Andrea Censi (EDUROBOTICS, 2016)

Case Studies in Data-Driven Verification of Dynamical Systems. - Alexandar Kozarev; John F. Quindlen; Jonathan P. How; Ufuk Topcu (HSCC, 2016)

Augmented dictionary learning for motion prediction. - Yu Fan Chen; Miao Liu 001; Jonathan P. How (ICRA, 2016)

Autonomous drifting using simulation-aided reinforcement learning. - Mark Cutler; Jonathan P. How (ICRA, 2016)

Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs. - Shayegan Omidshafiei; Ali-akbar Agha-mohammadi; Christopher Amato; Shih-Yuan Liu; Jonathan P. How; John Vian (ICRA, 2016)

Motion planning with diffusion maps. - Yu Fan Chen; Shih-Yuan Liu; Miao Liu 001; Justin Miller; Jonathan P. How (IROS, 2016)

Dynamic arrival rate estimation for campus Mobility On Demand network graphs. - Justin Miller; Andres Hasfura; Shih-Yuan Liu; Jonathan P. How (IROS, 2016)

SLAM with objects using a nonparametric pose graph. - Beipeng Mu; Shih-Yuan Liu; Liam Paull; John J. Leonard; Jonathan P. How (IROS, 2016)

Improving PAC Exploration Using the Median Of Means. - Jason Pazis; Ronald Parr; Jonathan P. How (NIPS, 2016)

Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models. - Hongchuan Wei; Wenjie Lu; Pingping Zhu; Silvia Ferrari; Miao Liu 001; Robert H. Klein; Shayegan Omidshafiei; Jonathan P. How (Autom., 2016)

Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification. - Shayegan Omidshafiei; Brett T. Lopez; Jonathan P. How; John Vian (CoRR, 2016)

Efficient Globally Optimal Point Cloud Alignment using Bayesian Nonparametric Mixtures. - Julian Straub; Trevor Campbell; Jonathan P. How; John W. Fisher III (CoRR, 2016)

Policy search for multi-robot coordination under uncertainty. - Christopher Amato; George Dimitri Konidaris; Ariel Anders; Gabriel Cruz; Jonathan P. How; Leslie Pack Kaelbling (Int. J. Robotics Res., 2016)

Quickest change detection approach to optimal control in Markov decision processes with model changes. - Taposh Banerjee; Miao Liu 001; Jonathan P. How (ACC, 2017)

Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures. - Julian Straub; Trevor Campbell; Jonathan P. How; John W. Fisher III (CVPR, 2017)

Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. - Shayegan Omidshafiei; Jason Pazis; Christopher Amato; Jonathan P. How; John Vian (ICML, 2017)

Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning. - Yu Fan Chen; Miao Liu 001; Michael Everett; Jonathan P. How (ICRA, 2017)

Aggressive 3-D collision avoidance for high-speed navigation. - Brett T. Lopez; Jonathan P. How (ICRA, 2017)

Predictive positioning and quality of service ridesharing for campus mobility on demand systems. - Justin Miller; Jonathan P. How (ICRA, 2017)

Scalable accelerated decentralized multi-robot policy search in continuous observation spaces. - Shayegan Omidshafiei; Christopher Amato; Miao Liu 001; Michael Everett; Jonathan P. How; John Vian (ICRA, 2017)

Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations. - Shayegan Omidshafiei; Shih-Yuan Liu; Michael Everett; Brett T. Lopez; Christopher Amato; Miao Liu 001; Jonathan P. How; John Vian (ICRA, 2017)

Duckietown: An open, inexpensive and flexible platform for autonomy education and research. - Liam Paull; Jacopo Tani; Heejin Ahn; Javier Alonso-Mora; Luca Carlone; Michal Cáp; Yu Fan Chen; Changhyun Choi; Jeff Dusek; Yajun Fang; Daniel Hoehener; Shih-Yuan Liu; et al. (ICRA, 2017)

Socially aware motion planning with deep reinforcement learning. - Yu Fan Chen; Michael Everett; Miao Liu 001; Jonathan P. How (IROS, 2017)

Stable laser interest point selection for place recognition in a forest. - Matthew Giamou; Yaroslav Babich; Golnaz Habibi; Jonathan P. How (IROS, 2017)

Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions. - Miao Liu 001; Kavinayan Sivakumar; Shayegan Omidshafiei; Christopher Amato; Jonathan P. How (IROS, 2017)

Aggressive collision avoidance with limited field-of-view sensing. - Brett T. Lopez; Jonathan P. How (IROS, 2017)

Demand estimation and chance-constrained fleet management for ride hailing. - Justin Miller; Jonathan P. How (IROS, 2017)

Planning and Learning under Uncertainty: Theory and Practice. - Jonathan P. How (KDD, 2017)

Active Sampling for Constrained Simulation-based Verification of Uncertain Nonlinear Systems. - John F. Quindlen; Ufuk Topcu; Girish Chowdhary 001; Jonathan P. How (CoRR, 2017)

Active Sampling-based Binary Verification of Dynamical Systems. - John F. Quindlen; Ufuk Topcu; Girish Chowdhary 001; Jonathan P. How (CoRR, 2017)

Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed SLAM Front-Ends. - Matthew Giamou; Kasra Khosoussi; Jonathan P. How (CoRR, 2017)

Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions. - Shayegan Omidshafiei; Ali-Akbar Agha-Mohammadi; Christopher Amato; Shih-Yuan Liu; Jonathan P. How; John Vian (Int. J. Robotics Res., 2017)

Decentralized Task Allocation Using Local Information Consistency Assumptions. - Luke B. Johnson; Han-Lim Choi; Sameera S. Ponda; Jonathan P. How (J. Aerosp. Inf. Syst., 2017)

Online Regression for Data With Changepoints Using Gaussian Processes and Reusable Models. - Robert C. Grande; Thomas J. Walsh 001; Girish Chowdhary 001; Sarah Ferguson; Jonathan P. How (IEEE Trans. Neural Networks Learn. Syst., 2017)

Two-Stage Focused Inference for Resource-Constrained Minimal Collision Navigation. - Beipeng Mu; Liam Paull; Ali-Akbar Agha-Mohammadi; John J. Leonard; Jonathan P. How (IEEE Trans. Robotics, 2017)

Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties. - John F. Quindlen; Ufuk Topcu; Girish Chowdhary 001; Jonathan P. How (ACC, 2018)

Active Sampling for Closed-Loop Statistical Verification of Uncertain Nonlinear Systems. - John F. Quindlen; Ufuk Topcu; Girish Chowdhary 001; Jonathan P. How (ACC, 2018)

Crossmodal Attentive Skill Learner. - Shayegan Omidshafiei; Dong-Ki Kim; Jason Pazis; Jonathan P. How (AAMAS, 2018)

Robust Powered Descent with Control Contraction Metrics. - Brett T. Lopez; Jean-Jacques E. Slotine; Jonathan P. How (CDC, 2018)

Reference Drag Update Scheme in Shuttle Entry Guidance Using Range Allocator for Tight Constraints. - Erin Evans; Stephen Thrasher; Jonathan P. How (ECC, 2018)

Complexity Analysis and Efficient Measurement Selection Primitives for High-Rate Graph SLAM. - Kristoffer M. Frey; Ted J. Steiner; Jonathan P. How (ICRA, 2018)

Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed Loop Closure Detection. - Matthew Giamou; Kasra Khosoussi; Jonathan P. How (ICRA, 2018)

Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems. - Trong Nghia Hoang; Yuchen Xiao; Kavinayan Sivakumar; Christopher Amato; Jonathan P. How (ICRA, 2018)

Robust Collision Avoidance via Sliding Control. - Brett T. Lopez; Jean-Jacques E. Slotine; Jonathan P. How (ICRA, 2018)

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning. - Michael Everett; Yu Fan Chen; Jonathan P. How (IROS, 2018)

Transferable Pedestrian Motion Prediction Models at Intersections. - Macheng Shen; Golnaz Habibi; Jonathan P. How (IROS, 2018)

Search and Rescue Under the Forest Canopy Using Multiple UAS. - Yulun Tian; Katherine Liu; Kyel Ok; Loc D. Tran; Danette Allen; Nicholas Roy; Jonathan P. How (ISER, 2018)

Learning in the Curbside Coordinate Frame for a Transferable Pedestrian Trajectory Prediction Model. - Nikita Jaipuria; Golnaz Habibi; Jonathan P. How (ITSC, 2018)

Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection. - Yulun Tian; Kasra Khosoussi; Matthew Giamou; Jonathan P. How; Jonathan Kelly (Robotics: Science and Systems, 2018)

Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees. - Yulun Tian; Kasra Khosoussi; Jonathan P. How (WAFR, 2018)

Autonomous task allocation for multi-UAV systems based on the locust elastic behavior. - Heba A. Kurdi; Ebtesam Aloboud; Maram Alalwan; Sarah Alhassan; Ebtehal T. Alotaibi; Guillermo Bautista; Jonathan P. How (Appl. Soft Comput., 2018)

Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems. - Trong Nghia Hoang; Quang Minh Hoang; Kian Hsiang Low; Jonathan P. How (CoRR, 2018)

Partial Replanning for Decentralized Dynamic Task Allocation. - Noam Buckman; Han-Lim Choi; Jonathan P. How (CoRR, 2018)

A Transferable Pedestrian Motion Prediction Model for Intersections with Different Geometries. - Nikita Jaipuria; Golnaz Habibi; Jonathan P. How (CoRR, 2018)

Context-Aware Pedestrian Motion Prediction In Urban Intersections. - Golnaz Habibi; Nikita Jaipuria; Jonathan P. How (CoRR, 2018)

Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems. - Trong Nghia Hoang; Quang Minh Hoang; Kian Hsiang Low; Jonathan P. How (AAAI, 2019)

Learning to Teach in Cooperative Multiagent Reinforcement Learning. - Shayegan Omidshafiei; Dong-Ki Kim; Miao Liu 001; Gerald Tesauro; Matthew Riemer; Christopher Amato; Murray Campbell; Jonathan P. How (AAAI, 2019)

Dynamic Tube MPC for Nonlinear Systems. - Brett T. Lopez; Jonathan P. How; Jean-Jacques E. Slotine (ACC, 2019)

Certified Adversarial Robustness for Deep Reinforcement Learning. - Björn Lütjens; Michael Everett; Jonathan P. How (CoRL, 2019)

Efficient Constellation-Based Map-Merging for Semantic SLAM. - Kristoffer M. Frey; Ted J. Steiner; Jonathan P. How (ICRA, 2019)

Safe Reinforcement Learning With Model Uncertainty Estimates. - Björn Lütjens; Michael Everett; Jonathan P. How (ICRA, 2019)

Robust Object-based SLAM for High-speed Autonomous Navigation. - Kyel Ok; Katherine Liu; Kristoffer M. Frey; Jonathan P. How; Nicholas Roy (ICRA, 2019)

Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning. - Macheng Shen; Jonathan P. How (ICRA, 2019)

Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments. - Jesus Tordesillas; Brett T. Lopez; John Carter; John Ware; Jonathan P. How (ICRA, 2019)

Planning Beyond The Sensing Horizon Using a Learned Context. - Michael Everett; Justin Miller; Jonathan P. How (IROS, 2019)

FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments. - Jesus Tordesillas; Brett T. Lopez; Jonathan P. How (IROS, 2019)

Policy Distillation and Value Matching in Multiagent Reinforcement Learning. - Samir Wadhwania; Dong-Ki Kim; Shayegan Omidshafiei; Jonathan P. How (IROS, 2019)

CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-Agent Data Association. - Kaveh Fathian; Kasra Khosoussi; Parker C. Lusk; Yulun Tian; Jonathan P. How (CoRR, 2019)

Block-Coordinate Minimization for Large SDPs with Block-Diagonal Constraints. - Yulun Tian; Kasra Khosoussi; Jonathan P. How (CoRR, 2019)

Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning. - Dong-Ki Kim; Miao Liu 001; Shayegan Omidshafiei; Sebastian Lopez-Cot; Matthew Riemer; Golnaz Habibi; Gerald Tesauro; Sami Mourad; Murray Campbell; Jonathan P. How (CoRR, 2019)

FaSTraP: Fast and Safe Trajectory Planner for Flights in Unknown Environments. - Jesus Tordesillas; Brett T. Lopez; Jonathan P. How (CoRR, 2019)

Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators. - Kristoffer M. Frey; Ted J. Steiner; Jonathan P. How (CoRR, 2019)

Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games. - Macheng Shen; Jonathan P. How (CoRR, 2019)

Block-Coordinate Descent on the Riemannian Staircase for Certifiably Correct Distributed Rotation and Pose Synchronization. - Yulun Tian; Kasra Khosoussi; Jonathan P. How (CoRR, 2019)

Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections. - Golnaz Habibi; Nikita Jaipuria; Jonathan P. How (CoRR, 2019)

Reliable Graphs for SLAM. - Kasra Khosoussi; Matthew Giamou; Gaurav S. Sukhatme; Shoudong Huang; Gamini Dissanayake; Jonathan P. How (Int. J. Robotics Res., 2019)

Modeling and Planning with Macro-Actions in Decentralized POMDPs. - Christopher Amato; George Dimitri Konidaris; Leslie Pack Kaelbling; Jonathan P. How (J. Artif. Intell. Res., 2019)

Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture Models. - Trevor Campbell; Brian Kulis; Jonathan P. How (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Where Do We Go From Here? Debates on the Future of Robotics Research at ICRA 2019 [From the Field]. - Lee E. Clement; Valentin Peretroukhin; Matthew Giamou; John J. Leonard; Hadas Kress-Gazit; Jonathan P. How; Michael Milford; Oliver Brock; Ryan Gariepy; Nicholas Roy; Hallie Siegel; Ludovic Righetti; et al. (IEEE Robotics Autom. Mag., 2019)

Vision-Based Multirotor Following Using Synthetic Learning Techniques. - Alejandro Rodriguez-Ramos; Adrian Alvarez-Fernandez; Hriday Bavle; Pascual Campoy; Jonathan P. How (Sensors, 2019)

Automatic Pan-Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets. - Hongchuan Wei; Pingping Zhu; Miao Liu 001; Jonathan P. How; Silvia Ferrari (IEEE Trans. Autom. Control., 2019)

Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection. - Lena M. Downes; Ted J. Steiner; Jonathan P. How (ACC, 2020)

Learning Hierarchical Teaching Policies for Cooperative Agents. - Dong-Ki Kim; Miao Liu 001; Shayegan Omidshafiei; Sebastian Lopez-Cot; Matthew Riemer; Golnaz Habibi; Gerald Tesauro; Sami Mourad; Murray Campbell; Jonathan P. How (AAMAS, 2020)

SILA: An Incremental Learning Approach for Pedestrian Trajectory Prediction. - Golnaz Habibi; Nikita Jaipuria; Jonathan P. How (CVPR Workshops, 2020)

Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments. - Stewart Jamieson; Jonathan P. How; Yogesh A. Girdhar (ICRA, 2020)

Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning. - Arpan Kusari; Jonathan P. How (ICRA, 2020)

Dynamic Landing of an Autonomous Quadrotor on a Moving Platform in Turbulent Wind Conditions. - Aleix Paris; Brett T. Lopez; Jonathan P. How (ICRA, 2020)

A Whisker-inspired Fin Sensor for Multi-directional Airflow Sensing. - Suhan Kim; Regan Kubicek; Aleix Paris; Andrea Tagliabue; Jonathan P. How; Sarah Bergbreiter (IROS, 2020)

Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph. - Chuangchuang Sun; Macheng Shen; Jonathan P. How (IROS, 2020)

Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor. - Andrea Tagliabue; Aleix Paris; Suhan Kim; Regan Kubicek; Sarah Bergbreiter; Jonathan P. How (IROS, 2020)

LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments. - Andrea Tagliabue; Jesus Tordesillas; Xiaoyi Cai; Angel Santamaria-Navarro; Jonathan P. How; Luca Carlone; Ali-akbar Agha-mohammadi (ISER, 2020)

Collision Probabilities for Continuous-Time Systems Without Sampling. - Kristoffer M. Frey; Ted J. Steiner; Jonathan P. How (Robotics: Science and Systems, 2020)

Crossmodal attentive skill learner: learning in Atari and beyond with audio-video inputs. - Dong-Ki Kim; Shayegan Omidshafiei; Jason Pazis; Jonathan P. How (Auton. Agents Multi Agent Syst., 2020)

VPS-SLAM: Visual Planar Semantic SLAM for Aerial Robotic Systems. - Hriday Bavle; Paloma de la Puente; Jonathan P. How; Pascual Campoy (IEEE Access, 2020)

Onboard Detection and Localization of Drones Using Depth Maps. - Adrian Carrio; Jesus Tordesillas; Sai Vemprala; Srikanth Saripalli; Pascual Campoy; Jonathan P. How (IEEE Access, 2020)

FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments. - Jesus Tordesillas; Brett T. Lopez; Michael Everett; Jonathan P. How (CoRR, 2020)

R-MADDPG for Partially Observable Environments and Limited Communication. - Rose E. Wang; Michael Everett; Jonathan P. How (CoRR, 2020)

Adaptive Safety for Uncertain Nonlinear Systems with Control Barrier Functions and Contraction Metrics. - Brett T. Lopez; Jean-Jacques E. Slotine; Jonathan P. How (CoRR, 2020)

Collision Probabilities for Continuous-Time Systems Without Sampling [with Appendices]. - Kristoffer M. Frey; Ted J. Steiner; Jonathan P. How (CoRR, 2020)

Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer. - Chuangchuang Sun; Dong-Ki Kim; Jonathan P. How (CoRR, 2020)

Robustness Analysis of Neural Networks via Efficient Partitioning: Theory and Applications in Control Systems. - Michael Everett; Golnaz Habibi; Jonathan P. How (CoRR, 2020)

MADER: Trajectory Planner in Multi-Agent and Dynamic Environments. - Jesus Tordesillas; Jonathan P. How (CoRR, 2020)

Performance Analysis of Adaptive Dynamic Tube MPC. - Savva Morozov; Parker C. Lusk; Brett T. Lopez; Jonathan P. How (CoRR, 2020)

Search and rescue under the forest canopy using multiple UAVs. - Yulun Tian; Katherine Liu; Kyel Ok; Loc D. Tran; Danette Allen; Nicholas Roy; Jonathan P. How (Int. J. Robotics Res., 2020)

A Distributed Pipeline for Scalable, Deconflicted Formation Flying. - Parker C. Lusk; Xiaoyi Cai; Samir Wadhwania; Aleix Paris; Kaveh Fathian; Jonathan P. How (IEEE Robotics Autom. Lett., 2020)

Multi-Agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning. - Samaneh Hosseini Semnani; Hugh Liu 001; Michael Everett; Anton H. J. de Ruiter; Jonathan P. How (IEEE Robotics Autom. Lett., 2020)

Asynchronous and Parallel Distributed Pose Graph Optimization. - Yulun Tian; Alec Koppel; Amrit Singh Bedi; Jonathan P. How (IEEE Robotics Autom. Lett., 2020)

CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multiview Data Association. - Kaveh Fathian; Kasra Khosoussi; Yulun Tian; Parker C. Lusk; Jonathan P. How (IEEE Trans. Robotics, 2020)

Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning. - Macheng Shen; Jonathan P. How (ICAPS, 2021)

Cooperative Model-Based Reinforcement Learning for Approximate Optimal Tracking. - Max L. Greene; Zachary I. Bell; Scott A. Nivison; Jonathan P. How; Warren E. Dixon (ACC, 2021)

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning. - Dong-Ki Kim; Miao Liu 001; Matthew Riemer; Chuangchuang Sun; Marwa Abdulhai; Golnaz Habibi; Sebastian Lopez-Cot; Gerald Tesauro; Jonathan P. How (ICML, 2021)

Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams. - Xiaoyi Cai; Brent Schlotfeldt; Kasra Khosoussi; Nikolay Atanasov 001; George J. Pappas; Jonathan P. How (ICRA, 2021)

Kimera-Multi: a System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping. - Yun Chang; Yulun Tian; Jonathan P. How; Luca Carlone (ICRA, 2021)

Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers. - Michael Everett; Golnaz Habibi; Jonathan P. How (ICRA, 2021)

NF-iSAM: Incremental Smoothing and Mapping via Normalizing Flows. - Qiangqiang Huang; Can Pu; Dehann Fourie; Kasra Khosoussi; Jonathan P. How; John J. Leonard (ICRA, 2021)

Multi-Robot Distributed Semantic Mapping in Unfamiliar Environments through Online Matching of Learned Representations. - Stewart Jamieson; Kaveh Fathian; Kasra Khosoussi; Jonathan P. How; Yogesh A. Girdhar (ICRA, 2021)

CLIPPER: A Graph-Theoretic Framework for Robust Data Association. - Parker C. Lusk; Kaveh Fathian; Jonathan P. How (ICRA, 2021)

FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimizer. - Chuangchuang Sun; Dong-Ki Kim; Jonathan P. How (ICRA, 2021)

Airflow-Inertial Odometry for Resilient State Estimation on Multirotors. - Andrea Tagliabue; Jonathan P. How (ICRA, 2021)

Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning. - Michael Everett; Yu Fan Chen; Jonathan P. How (IEEE Access, 2021)

Reachability Analysis of Neural Feedback Loops. - Michael Everett; Golnaz Habibi; Chuangchuang Sun; Jonathan P. How (IEEE Access, 2021)

Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians. - Bruno Brito; Michael Everett; Jonathan P. How; Javier Alonso-Mora (CoRR, 2021)

Online Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. - Qiangqiang Huang; Can Pu; Kasra Khosoussi; David M. Rosen; Dehann Fourie; Jonathan P. How; John J. Leonard (CoRR, 2021)

MIXER: A Principled Framework for Multimodal, Multiway Data Association. - Parker C. Lusk; Ronak Roy; Kaveh Fathian; Jonathan P. How (CoRR, 2021)

Robustness Analysis of Neural Networks via Efficient Partitioning With Applications in Control Systems. - Michael Everett; Golnaz Habibi; Jonathan P. How (IEEE Control. Syst. Lett., 2021)

Robust Adaptive Control Barrier Functions: An Adaptive and Data-Driven Approach to Safety. - Brett T. Lopez; Jean-Jacques E. Slotine; Jonathan P. How (IEEE Control. Syst. Lett., 2021)

A resource-aware approach to collaborative loop-closure detection with provable performance guarantees. - Yulun Tian; Kasra Khosoussi; Jonathan P. How (Int. J. Robotics Res., 2021)

Where to go Next: Learning a Subgoal Recommendation Policy for Navigation in Dynamic Environments. - Bruno Brito; Michael Everett; Jonathan P. How; Javier Alonso-Mora (IEEE Robotics Autom. Lett., 2021)

Human Trajectory Prediction Using Similarity-Based Multi-Model Fusion. - Golnaz Habibi; Jonathan P. How (IEEE Robotics Autom. Lett., 2021)

Distributed Certifiably Correct Pose-Graph Optimization. - Yulun Tian; Kasra Khosoussi; David M. Rosen; Jonathan P. How (IEEE Trans. Robotics, 2021)

Neural Network Approach to Crater Detection for Lunar Terrain Relative Navigation. - Lena M. Downes; Ted J. Steiner; Jonathan P. How (J. Aerosp. Inf. Syst., 2021)

Context-Specific Representation Abstraction for Deep Option Learning. - Marwa Abdulhai; Dong-Ki Kim; Matthew Riemer; Miao Liu 001; Gerald Tesauro; Jonathan P. How (AAAI, 2022)

Distributed Filtering with Value of Information Censoring. - Miguel Calvo-Fullana; Jonathan P. How (ACC, 2022)

Mission-Aware Value of Information Censoring for Distributed Filtering. - Miguel Calvo-Fullana; Jonathan P. How (CDC, 2022)

Backward Reachability Analysis for Neural Feedback Loops. - Nicholas Rober; Michael Everett; Jonathan P. How (CDC, 2022)

ROMAX: Certifiably Robust Deep Multiagent Reinforcement Learning via Convex Relaxation. - Chuangchuang Sun; Dong-Ki Kim; Jonathan P. How (ICRA, 2022)

Demonstration-Efficient Guided Policy Search via Imitation of Robust Tube MPC. - Andrea Tagliabue; Dong-Ki Kim; Michael Everett; Jonathan P. How (ICRA, 2022)

Risk-Aware Off-Road Navigation via a Learned Speed Distribution Map. - Xiaoyi Cai; Michael Everett; Jonathan Fink; Jonathan P. How (IROS, 2022)

City-wide Street-to-Satellite Image Geolocalization of a Mobile Ground Agent. - Lena M. Downes; Dong-Ki Kim; Ted J. Steiner; Jonathan P. How (IROS, 2022)

Multi-Agent Relative Pose Estimation with UWB and Constrained Communications. - Andrew Fishberg; Jonathan P. How (IROS, 2022)

Global Data Association for SLAM with 3D Grassmannian Manifold Objects. - Parker C. Lusk; Jonathan P. How (IROS, 2022)

Safe adaptation in multiagent competition. - Macheng Shen; Jonathan P. How (IROS, 2022)

Output Feedback Tube MPC-Guided Data Augmentation for Robust, Efficient Sensorimotor Policy Learning. - Andrea Tagliabue; Jonathan P. How (IROS, 2022)

Distributed Riemannian Optimization with Lazy Communication for Collaborative Geometric Estimation. - Yulun Tian; Amrit Singh Bedi; Alec Koppel; Miguel Calvo-Fullana; David M. Rosen; Jonathan P. How (IROS, 2022)

Influencing Long-Term Behavior in Multiagent Reinforcement Learning. - Dong-Ki Kim; Matthew Riemer; Miao Liu 001; Jakob N. Foerster; Michael Everett; Chuangchuang Sun; Gerald Tesauro; Jonathan P. How (NeurIPS, 2022)

Communication-Aware Consensus-Based Decentralized Task Allocation in Communication Constrained Environments. - Sharan Raja; Golnaz Habibi; Jonathan P. How (IEEE Access, 2022)

PANTHER: Perception-Aware Trajectory Planner in Dynamic Environments. - Jesus Tordesillas; Jonathan P. How (IEEE Access, 2022)

MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves. - Jesus Tordesillas; Jonathan P. How (Comput. Aided Des., 2022)

Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems. - Nicholas Rober; Sydney M. Katz; Chelsea Sidrane; Esen Yel; Michael Everett; Mykel J. Kochenderfer; Jonathan P. How (CoRR, 2022)

View-Invariant Localization using Semantic Objects in Changing Environments. - Jacqueline Ankenbauer; Kaveh Fathian; Jonathan P. How (CoRR, 2022)

Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria. - Dong-Ki Kim; Matthew Riemer; Miao Liu 001; Jakob N. Foerster; Gerald Tesauro; Jonathan P. How (CoRR, 2022)

Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning. - Michael Everett; Björn Lütjens; Jonathan P. How (IEEE Trans. Neural Networks Learn. Syst., 2022)

Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems. - Yulun Tian; Yun Chang; Fernando Herrera Arias; Carlos Nieto-Granda; Jonathan P. How; Luca Carlone (IEEE Trans. Robotics, 2022)

MADER: Trajectory Planner in Multiagent and Dynamic Environments. - Jesus Tordesillas; Jonathan P. How (IEEE Trans. Robotics, 2022)

FASTER: Fast and Safe Trajectory Planner for Navigation in Unknown Environments. - Jesus Tordesillas; Brett T. Lopez; Michael Everett; Jonathan P. How (IEEE Trans. Robotics, 2022)

A Hybrid Partitioning Strategy for Backward Reachability of Neural Feedback Loops. - Nicholas Rober; Michael Everett; Songan Zhang; Jonathan P. How (ACC, 2023)

Wide-Area Geolocalization with a Limited Field of View Camera. - Lena M. Downes; Ted J. Steiner; Rebecca L. Russell; Jonathan P. How (ICRA, 2023)

DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning Methods. - Stewart Jamieson; Jonathan P. How; Yogesh A. Girdhar (ICRA, 2023)

Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay. - Kota Kondo; Jesus Tordesillas; Reinaldo Figueroa; Juan Rached; Joseph Merkel; Parker C. Lusk; Jonathan P. How (ICRA, 2023)

RAMP: A Risk-Aware Mapping and Planning Pipeline for Fast Off-Road Ground Robot Navigation. - Lakshay Sharma; Michael Everett; Donggun Lee; Xiaoyi Cai; Philip R. Osteen; Jonathan P. How (ICRA, 2023)

Robust, High-Rate Trajectory Tracking on Insect-Scale Soft-Actuated Aerial Robots with Deep-Learned Tube MPC. - Andrea Tagliabue; Yi-Hsuan Hsiao; Urban Fasel; J. Nathan Kutz; Steven L. Brunton; YuFeng Chen 003; Jonathan P. How (ICRA, 2023)

Global Localization in Unstructured Environments Using Semantic Object Maps Built from Various Viewpoints. - Jacqueline Ankenbauer; Parker C. Lusk; Annika Thomas; Jonathan P. How (IROS, 2023)

Probabilistic Traversability Model for Risk-Aware Motion Planning in Off-Road Environments. - Xiaoyi Cai; Michael Everett; Lakshay Sharma; Philip R. Osteen; Jonathan P. How (IROS, 2023)

MOTLEE: Distributed Mobile Multi-Object Tracking with Localization Error Elimination. - Mason B. Peterson; Parker C. Lusk; Jonathan P. How (IROS, 2023)

Resilient and Distributed Multi-Robot Visual SLAM: Datasets, Experiments, and Lessons Learned. - Yulun Tian; Yun Chang; Long Quang; Arthur Schang; Carlos Nieto-Granda; Jonathan P. How; Luca Carlone (IROS, 2023)

Efficient Deep Learning of Robust, Adaptive Policies using Tube MPC-Guided Data Augmentation. - Tong Zhao; Andrea Tagliabue; Jonathan P. How (IROS, 2023)

Global Localization in Unstructured Environments using Semantic Object Maps Built from Various Viewpoints. - Jacqueline Ankenbauer; Parker C. Lusk; Jonathan P. How (CoRR, 2023)

Surrogate Neural Networks for Efficient Simulation-based Trajectory Planning Optimization. - Evelyn Ruff; Rebecca L. Russell; Matthew Stoeckle; Piero Miotto; Jonathan P. How (CoRR, 2023)

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. - Anthony G. Francis; Claudia Pérez-D'Arpino; Chengshu Li 001; Fei Xia 002; Alexandre Alahi; Rachid Alami 001; Aniket Bera; Abhijat Biswas; Joydeep Biswas; Rohan Chandra; Hao-Tien Lewis Chiang; Michael Everett; et al. (CoRR, 2023)

RAYEN: Imposition of Hard Convex Constraints on Neural Networks. - Jesus Tordesillas; Jonathan P. How; Marco Hutter 001 (CoRR, 2023)

Wide-Area Geolocalization with a Limited Field of View Camera in Challenging Urban Environments. - Lena M. Downes; Ted J. Steiner; Rebecca L. Russell; Jonathan P. How (CoRR, 2023)

A Forward Reachability Perspective on Robust Control Invariance and Discount Factors in Reachability Analysis. - Jason J. Choi; Donggun Lee; Boyang Li; Jonathan P. How; Koushil Sreenath; Sylvia L. Herbert; Claire J. Tomlin (CoRR, 2023)

Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies from MPC using Tube-Guided Data Augmentation and NeRFs. - Andrea Tagliabue; Jonathan P. How (CoRR, 2023)

GraffMatch: Global Matching of 3D Lines and Planes for Wide Baseline LiDAR Registration. - Parker C. Lusk; Devarth Parikh; Jonathan P. How (IEEE Robotics Autom. Lett., 2023)

Implicit Ensemble Training for Efficient and Robust Multiagent Reinforcement Learning. - Macheng Shen; Jonathan P. How (Trans. Mach. Learn. Res., 2023)

Deep-PANTHER: Learning-Based Perception-Aware Trajectory Planner in Dynamic Environments. - Jesus Tordesillas; Jonathan P. How (IEEE Robotics Autom. Lett., 2023)

Wide-Area Geolocalization with a Limited Field of View Camera in Challenging Urban Environments Dataset. - Lena M. Downes; Ted J. Steiner; Rebecca L. Russell; Jonathan P. How (Zenodo, 2023)

Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows. - Qiangqiang Huang; Can Pu; Kasra Khosoussi; David M. Rosen; Dehann Fourie; Jonathan P. How; John J. Leonard (IEEE Trans. Robotics, 2023)

MIXER: Multiattribute, Multiway Fusion of Uncertain Pairwise Affinities. - Parker C. Lusk; Kaveh Fathian; Jonathan P. How (IEEE Robotics Autom. Lett., 2023)

Energy-Aware, Collision-Free Information Gathering for Heterogeneous Robot Teams. - Xiaoyi Cai; Brent Schlotfeldt; Kasra Khosoussi; Nikolay Atanasov 001; George J. Pappas; Jonathan P. How (IEEE Trans. Robotics, 2023)

SDP Synthesis of Maximum Coverage Trees for Probabilistic Planning under Control Constraints. - Naman Aggarwal; Jonathan P. How (CDC, 2024)

REAL: Resilience and Adaptation using Large Language Models on Autonomous Aerial Robots. - Andrea Tagliabue; Kota Kondo; Tong Zhao; Mason B. Peterson; Claudius T. Tewari; Jonathan P. How (CDC, 2024)

PUMA: Fully Decentralized Uncertainty-aware Multiagent Trajectory Planner with Real-time Image Segmentation-based Frame Alignment. - Kota Kondo; Claudius T. Tewari; Mason B. Peterson; Annika Thomas; Jouko Kinnari; Andrea Tagliabue; Jonathan P. How (ICRA, 2024)

Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances. - Nicholas Rober; Karan Mahesh; Tyler M. Paine; Max L. Greene; Steven Lee; Sildomar T. Monteiro; Michael R. Benjamin; Jonathan P. How (ICRA, 2024)

Look Before You Leap: Socially Acceptable High-Speed Ground Robot Navigation in Crowded Hallways. - Lakshay Sharma; Nicolaniello Buono; Ashton Flather; Xiaoyi Cai; Jonathan P. How (IROS, 2024)

SOS-Match: Segmentation for Open-Set Robust Correspondence Search and Robot Localization in Unstructured Environments. - Annika Thomas; Jouko Kinnari; Parker C. Lusk; Kota Kondo; Jonathan P. How (IROS, 2024)

Finding the optimal exploration-exploitation trade-off online through Bayesian risk estimation and minimization. - Stewart Jamieson; Jonathan P. How; Yogesh A. Girdhar (Artif. Intell., 2024)

SOS-SLAM: Segmentation for Open-Set SLAM in Unstructured Environments. - Jouko Kinnari; Annika Thomas; Parker C. Lusk; Kota Kondo; Jonathan P. How (CoRR, 2024)

Look Before You Leap: Socially Acceptable High-Speed Ground Robot Navigation in Crowded Hallways. - Lakshay Sharma; Jonathan P. How (CoRR, 2024)

CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning. - Kota Kondo; Andrea Tagliabue; Xiaoyi Cai; Claudius T. Tewari; Olivia Garcia; Marcos Espitia-Alvarez; Jonathan P. How (CoRR, 2024)

Out-of-Distribution Adaptation in Offline RL: Counterfactual Reasoning via Causal Normalizing Flows. - Minjae Cho; Jonathan P. How; Chuangchuang Sun (CoRR, 2024)

MOTLEE: Collaborative Multi-Object Tracking Using Temporal Consistency for Neighboring Robot Frame Alignment. - Mason B. Peterson; Parker C. Lusk; Antonio Avila; Jonathan P. How (CoRR, 2024)

PRIMER: Perception-Aware Robust Learning-based Multiagent Trajectory Planner. - Kota Kondo; Claudius T. Tewari; Andrea Tagliabue; Jesus Tordesillas; Parker C. Lusk; Jonathan P. How (CoRR, 2024)

SDP Synthesis of Distributionally Robust Backward Reachable Trees for Probabilistic Planning. - Naman Aggarwal; Jonathan P. How (CoRR, 2024)

An Overview of the Burer-Monteiro Method for Certifiable Robot Perception. - Alan Papalia; Yulun Tian; David M. Rosen; Jonathan P. How; John J. Leonard (CoRR, 2024)

Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis. - Karan Mahesh; Tyler M. Paine; Max L. Greene; Nicholas Rober; Steven Lee; Sildomar T. Monteiro; Anuradha Annaswamy; Michael R. Benjamin; Jonathan P. How (CoRR, 2024)

ROMAN: Open-Set Object Map Alignment for Robust View-Invariant Global Localization. - Mason B. Peterson; Yi Xuan Jia; Yulun Tian; Annika Thomas; Jonathan P. How (CoRR, 2024)

GRAM: Generalization in Deep RL with a Robust Adaptation Module. - James Queeney; Xiaoyi Cai; Mouhacine Benosman; Jonathan P. How (CoRR, 2024)

Constraint-Aware Refinement for Safety Verification of Neural Feedback Loops. - Nicholas Rober; Jonathan P. How (IEEE Control. Syst. Lett., 2024)

A collective AI via lifelong learning and sharing at the edge. - Andrea Soltoggio; Eseoghene Ben-Iwhiwhu; Vladimir Braverman; Eric Eaton; Benjamin Epstein; Yunhao Ge; Lucy Halperin; Jonathan P. How; Laurent Itti; Michael A. Jacobs; Pavan Kantharaju; Long Le; et al. (Nat. Mac. Intell., 2024)

CLIPPER: Robust Data Association Without an Initial Guess. - Parker C. Lusk; Jonathan P. How (IEEE Robotics Autom. Lett., 2024)

EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy. - Xiaoyi Cai; Siddharth Ancha; Lakshay Sharma; Philip R. Osteen; Bernadette Bucher; Stephen Phillips; Jiuguang Wang; Michael Everett; Nicholas Roy; Jonathan P. How (IEEE Trans. Robotics, 2024)

Certifiably Correct Range-Aided SLAM. - Alan Papalia; Andrew Fishberg; Brendan W. O'Neill; Jonathan P. How; David M. Rosen; John J. Leonard (IEEE Trans. Robotics, 2024)

Efficient Deep Learning of Robust Policies From MPC Using Imitation and Tube-Guided Data Augmentation. - Andrea Tagliabue; Jonathan P. How (IEEE Trans. Robotics, 2024)

Spectral Sparsification for Communication-Efficient Collaborative Rotation and Translation Estimation. - Yulun Tian; Jonathan P. How (IEEE Trans. Robotics, 2024)

Robust MADER: Decentralized Multiagent Trajectory Planner Robust to Communication Delay in Dynamic Environments. - Kota Kondo; Reinaldo Figueroa; Juan Rached; Jesus Tordesillas; Parker C. Lusk; Jonathan P. How (IEEE Robotics Autom. Lett., 2024)

Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies From MPC via Tube-Guided Data Augmentation and NeRFs. - Andrea Tagliabue; Jonathan P. How (IEEE Robotics Autom. Lett., 2024)

MURP: Multi-Agent Ultra-Wideband Relative Pose Estimation With Constrained Communications in 3D Environments. - Andrew Fishberg; Brian J. Quiter; Jonathan P. How (IEEE Robotics Autom. Lett., 2024)

REVISE: Robust Probabilistic Motion Planning in a Gaussian Random Field. - Alex Rose 004; Naman Aggarwal; Christopher Jewison; Jonathan P. How (ACC, 2025)

Aerocapture Guidance for Augmented Bank Angle Modulation. - Kyle Sonandres; Thomas Palazzo; Jonathan P. How (ACC, 2025)

PIETRA: Physics-Informed Evidential Learning for Traversing Out-of-Distribution Terrain. - Xiaoyi Cai; James Queeney; Tong Xu; Aniket Datar; Chenhui Pan; Max Miller; Ashton Flather; Philip R. Osteen; Nicholas Roy; Xuesu Xiao; Jonathan P. How (IEEE Robotics Autom. Lett., 2025)

DYNUS: Uncertainty-aware Trajectory Planner in Dynamic Unknown Environments. - Kota Kondo; Mason B. Peterson; Nicholas Rober; Juan Rached Viso; Lucas Jia; Jialin Chen; Harvey Merton; Jonathan P. How (CoRR, 2025)

ABAMGuid+: An Enhanced Aerocapture Guidance Framework using Augmented Bank Angle Modulation. - Kyle Sonandres; Thomas Palazzo; Jonathan P. How (CoRR, 2025)

Terrain-aware Low Altitude Path Planning. - Yixuan Jia; Andrea Tagliabue; Navid Dadkhah Tehrani; Jonathan P. How (CoRR, 2025)

Language-Grounded Hierarchical Planning and Execution with Multi-Robot 3D Scene Graphs. - Jared Strader; Aaron Ray; Jacob Arkin; Mason B. Peterson; Yun Chang; Nathan Hughes; Christopher Bradley; Yi Xuan Jia; Carlos Nieto-Granda; Rajat Talak; Chuchu Fan; Luca Carlone; et al. (CoRR, 2025)

LunarLoc: Segment-Based Global Localization on the Moon. - Annika Thomas; Robaire Galliath; Aleksander Garbuz; Luke Anger; Cormac O'Neill; Trevor Johst; Dami Thomas; George Lordos; Jonathan P. How (CoRR, 2025)

GRAND-SLAM: Local Optimization for Globally Consistent Large-Scale Multi-Agent Gaussian SLAM. - Annika Thomas; Aneesa Sonawalla; Alex Rose 004; Jonathan P. How (CoRR, 2025)

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. - Anthony G. Francis; Claudia Pérez-D'Arpino; Chengshu Li 002; Fei Xia 002; Alexandre Alahi; Rachid Alami 001; Aniket Bera; Abhijat Biswas; Joydeep Biswas; Rohan Chandra; Hao-Tien Lewis Chiang; Michael Everett; et al. (ACM Trans. Hum. Robot Interact., 2025)

VISTA: Monocular Segmentation-Based Mapping for Appearance and View-Invariant Global Localization. - Hannah Shafferman; Annika Thomas; Jouko Kinnari; Michael Ricard; Jose Nino; Jonathan P. How (CoRR, 2025)

Aerobatic maneuvers in insect-scale flapping-wing aerial robots via deep-learned robust tube model predictive control. - Yi-Hsuan Hsiao; Andrea Tagliabue; Owen Matteson; Suhan Kim; Tong Zhao; Jonathan P. How; YuFeng Chen 003 (CoRR, 2025)