Jonathan P. How

According to our database1, Jonathan P. How authored at least 263 papers between 1982 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Human Trajectory Prediction Using Similarity-Based Multi-Model Fusion.
IEEE Robotics Autom. Lett., 2021

LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied Environments.
CoRR, 2021

Non-Monotone Energy-Aware Information Gathering for Heterogeneous Robot Teams.
CoRR, 2021

Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers.
CoRR, 2021

Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning.
IEEE Access, 2021

2020
CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multiview Data Association.
IEEE Trans. Robotics, 2020

Asynchronous and Parallel Distributed Pose Graph Optimization.
IEEE Robotics Autom. Lett., 2020

Multi-Agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning.
IEEE Robotics Autom. Lett., 2020

A Distributed Pipeline for Scalable, Deconflicted Formation Flying.
IEEE Robotics Autom. Lett., 2020

Performance Analysis of Adaptive Dynamic Tube MPC.
CoRR, 2020

CLIPPER: A Graph-Theoretic Framework for Robust Data Association.
CoRR, 2020

Kimera-Multi: a System for Distributed Multi-Robot Metric-Semantic Simultaneous Localization and Mapping.
CoRR, 2020

A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning.
CoRR, 2020

MADER: Trajectory Planner in Multi-Agent and Dynamic Environments.
CoRR, 2020

MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves.
CoRR, 2020

Robustness Analysis of Neural Networks via Efficient Partitioning: Theory and Applications in Control Systems.
CoRR, 2020

Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer.
CoRR, 2020

Collision Probabilities for Continuous-Time Systems Without Sampling [with Appendices].
CoRR, 2020

Adaptive Safety for Uncertain Nonlinear Systems with Control Barrier Functions and Contraction Metrics.
CoRR, 2020

R-MADDPG for Partially Observable Environments and Limited Communication.
CoRR, 2020

FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments.
CoRR, 2020

Onboard Detection and Localization of Drones Using Depth Maps.
IEEE Access, 2020

VPS-SLAM: Visual Planar Semantic SLAM for Aerial Robotic Systems.
IEEE Access, 2020

Crossmodal attentive skill learner: learning in Atari and beyond with audio-video inputs.
Auton. Agents Multi Agent Syst., 2020

Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

A Whisker-inspired Fin Sensor for Multi-directional Airflow Sensing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Dynamic Landing of an Autonomous Quadrotor on a Moving Platform in Turbulent Wind Conditions.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

SILA: An Incremental Learning Approach for Pedestrian Trajectory Prediction.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning Hierarchical Teaching Policies for Cooperative Agents.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection.
Proceedings of the 2020 American Control Conference, 2020

2019
Automatic Pan-Tilt Camera Control for Learning Dirichlet Process Gaussian Process (DPGP) Mixture Models of Multiple Moving Targets.
IEEE Trans. Autom. Control., 2019

Vision-Based Multirotor Following Using Synthetic Learning Techniques.
Sensors, 2019

Where Do We Go From Here? Debates on the Future of Robotics Research at ICRA 2019 [From the Field].
IEEE Robotics Autom. Mag., 2019

Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Modeling and Planning with Macro-Actions in Decentralized POMDPs.
J. Artif. Intell. Res., 2019

Reliable Graphs for SLAM.
Int. J. Robotics Res., 2019

Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections.
CoRR, 2019

Block-Coordinate Descent on the Riemannian Staircase for Certifiably Correct Distributed Rotation and Pose Synchronization.
CoRR, 2019

Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games.
CoRR, 2019

Search and Rescue under the Forest Canopy using Multiple UAVs.
CoRR, 2019

Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators.
CoRR, 2019

A Resource-Aware Approach to Collaborative Loop Closure Detection with Provable Performance Guarantees.
CoRR, 2019

FaSTraP: Fast and Safe Trajectory Planner for Flights in Unknown Environments.
CoRR, 2019

Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning.
CoRR, 2019

Block-Coordinate Minimization for Large SDPs with Block-Diagonal Constraints.
CoRR, 2019

CLEAR: A Consistent Lifting, Embedding, and Alignment Rectification Algorithm for Multi-Agent Data Association.
CoRR, 2019

Policy Distillation and Value Matching in Multiagent Reinforcement Learning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Planning Beyond The Sensing Horizon Using a Learned Context.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Real-Time Planning with Multi-Fidelity Models for Agile Flights in Unknown Environments.
Proceedings of the International Conference on Robotics and Automation, 2019

Active Perception in Adversarial Scenarios using Maximum Entropy Deep Reinforcement Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

Robust Object-based SLAM for High-speed Autonomous Navigation.
Proceedings of the International Conference on Robotics and Automation, 2019

Safe Reinforcement Learning With Model Uncertainty Estimates.
Proceedings of the International Conference on Robotics and Automation, 2019

Efficient Constellation-Based Map-Merging for Semantic SLAM.
Proceedings of the International Conference on Robotics and Automation, 2019

Certified Adversarial Robustness for Deep Reinforcement Learning.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Dynamic Tube MPC for Nonlinear Systems.
Proceedings of the 2019 American Control Conference, 2019

Learning to Teach in Cooperative Multiagent Reinforcement Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Context-Aware Pedestrian Motion Prediction In Urban Intersections.
CoRR, 2018

A Transferable Pedestrian Motion Prediction Model for Intersections with Different Geometries.
CoRR, 2018

Partial Replanning for Decentralized Dynamic Task Allocation.
CoRR, 2018

Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems.
CoRR, 2018

Autonomous task allocation for multi-UAV systems based on the locust elastic behavior.
Appl. Soft Comput., 2018

Resource-Aware Algorithms for Distributed Loop Closure Detection with Provable Performance Guarantees.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection.
Proceedings of the Robotics: Science and Systems XIV, 2018

Learning in the Curbside Coordinate Frame for a Transferable Pedestrian Trajectory Prediction Model.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Search and Rescue Under the Forest Canopy Using Multiple UAS.
Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Transferable Pedestrian Motion Prediction Models at Intersections.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Robust Collision Avoidance via Sliding Control.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed Loop Closure Detection.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Complexity Analysis and Efficient Measurement Selection Primitives for High-Rate Graph SLAM.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Reference Drag Update Scheme in Shuttle Entry Guidance Using Range Allocator for Tight Constraints.
Proceedings of the 16th European Control Conference, 2018

Robust Powered Descent with Control Contraction Metrics.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Crossmodal Attentive Skill Learner.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Active Sampling for Closed-Loop Statistical Verification of Uncertain Nonlinear Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Two-Stage Focused Inference for Resource-Constrained Minimal Collision Navigation.
IEEE Trans. Robotics, 2017

Online Regression for Data With Changepoints Using Gaussian Processes and Reusable Models.
IEEE Trans. Neural Networks Learn. Syst., 2017

Decentralized Task Allocation Using Local Information Consistency Assumptions.
J. Aerosp. Inf. Syst., 2017

Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions.
Int. J. Robotics Res., 2017

Talk Resource-Efficiently to Me: Optimal Communication Planning for Distributed SLAM Front-Ends.
CoRR, 2017

Active Sampling-based Binary Verification of Dynamical Systems.
CoRR, 2017

Active Sampling for Constrained Simulation-based Verification of Uncertain Nonlinear Systems.
CoRR, 2017

Planning and Learning under Uncertainty: Theory and Practice.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Demand estimation and chance-constrained fleet management for ride hailing.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Aggressive collision avoidance with limited field-of-view sensing.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Stable laser interest point selection for place recognition in a forest.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Socially aware motion planning with deep reinforcement learning.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017


Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Scalable accelerated decentralized multi-robot policy search in continuous observation spaces.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Predictive positioning and quality of service ridesharing for campus mobility on demand systems.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Aggressive 3-D collision avoidance for high-speed navigation.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability.
Proceedings of the 34th International Conference on Machine Learning, 2017

Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Quickest change detection approach to optimal control in Markov decision processes with model changes.
Proceedings of the 2017 American Control Conference, 2017

2016
Policy search for multi-robot coordination under uncertainty.
Int. J. Robotics Res., 2016

Efficient Globally Optimal Point Cloud Alignment using Bayesian Nonparametric Mixtures.
CoRR, 2016

Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification.
CoRR, 2016

Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models.
Autom., 2016

Improving PAC Exploration Using the Median Of Means.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

SLAM with objects using a nonparametric pose graph.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Dynamic arrival rate estimation for campus Mobility On Demand network graphs.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Motion planning with diffusion maps.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Autonomous drifting using simulation-aided reinforcement learning.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Augmented dictionary learning for motion prediction.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Case Studies in Data-Driven Verification of Dynamical Systems.
Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control, 2016

Duckietown: An Innovative Way to Teach Autonomy.
Proceedings of the Educational Robotics in the Makers Era, 2016

Information-based Active SLAM via topological feature graphs.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Adaptive mission planning for coupled human-robot teams.
Proceedings of the 2016 American Control Conference, 2016

Region-of-convergence estimation for learning-based adaptive controllers.
Proceedings of the 2016 American Control Conference, 2016

Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Health Aware Planning Under Uncertainty for Collaborating Heterogeneous Teams of Mobile Agents.
Unmanned Syst., 2015

Importance-Weighted Adaptive Search for Multi-Class Targets.
IEEE Trans. Signal Process., 2015

Bayesian Nonparametric Reward Learning From Demonstration.
IEEE Trans. Robotics, 2015

Real-World Reinforcement Learning via Multifidelity Simulators.
IEEE Trans. Robotics, 2015

Bayesian Nonparametric Adaptive Control Using Gaussian Processes.
IEEE Trans. Neural Networks Learn. Syst., 2015

RLPy: a value-function-based reinforcement learning framework for education and research.
J. Mach. Learn. Res., 2015

A Situationally Aware Voice-commandable Robotic Forklift Working Alongside People in Unstructured Outdoor Environments.
J. Field Robotics, 2015

Information-based Active SLAM via Topological Feature Graphs.
CoRR, 2015

Two-Stage Focused Inference for Resource-Constrained Collision-Free Navigation.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Streaming, Distributed Variational Inference for Bayesian Nonparametrics.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Online heterogeneous multiagent learning under limited communication with applications to forest fire management.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Robust incremental SLAM with consistency-checking.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Stick-Breaking Policy Learning in Dec-POMDPs.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Efficient reinforcement learning for robots using informative simulated priors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Decoupled multiagent path planning via incremental sequential convex programming.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Planning for decentralized control of multiple robots under uncertainty.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Adaptive search for multi-class targets with heterogeneous importance.
Proceedings of the 18th International Conference on Information Fusion, 2015

Small-variance nonparametric clustering on the hypersphere.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Randomized Coordination Search for Scalable Multiagent Planning.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Hybrid model reference adaptive control for unmatched uncertainties.
Proceedings of the American Control Conference, 2015

Bayesian nonparametric set construction for robust optimization.
Proceedings of the American Control Conference, 2015

Probabilistic Planning for Decentralized Multi-Robot Systems.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015

2014
Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams - Scaling Up the Multiagent Planning with Distributed Learning and Approximate Representations.
J. Intell. Robotic Syst., 2014

Special Issue on Aerospace and Mechanical Applications of Reinforcement Learning and Adaptive Learning Based Control.
J. Aerosp. Inf. Syst., 2014

Experimental Validation of Bayesian Nonparametric Adaptive Control Using Gaussian Processes.
J. Aerosp. Inf. Syst., 2014

Resource-Constrained Adaptive Search for Sparse Multi-Class Targets with Varying Importance.
CoRR, 2014

Decentralized Variational Bayesian Inference.
CoRR, 2014

Efficient distributed sensing using adaptive censoring-based inference.
Autom., 2014

Real-Time Predictive Modeling and Robust Avoidance of Pedestrians with Uncertain, Changing Intentions.
Proceedings of the Algorithmic Foundations of Robotics XI, 2014

Approximate Decentralized Bayesian Inference.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Quantifying Nonlocal Informativeness in High-Dimensional, Loopy Gaussian Graphical Models.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Camera control for learning nonlinear target dynamics via Bayesian nonparametric Dirichlet-process Gaussian-process (DP-GP) models.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Health aware stochastic planning for persistent package delivery missions using quadrotors.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Reinforcement learning with multi-fidelity simulators.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Human aware UAS path planning in urban environments using nonstationary MDPs.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Sample Efficient Reinforcement Learning with Gaussian Processes.
Proceedings of the 31th International Conference on Machine Learning, 2014

The Hybrid Information and Plan Consensus Algorithm with Imperfect Situational Awareness.
Proceedings of the Distributed Autonomous Robotic Systems, 2014

Potential Game-Theoretic Analysis of a Market-Based Decentralized Task Allocation Algorithm.
Proceedings of the Distributed Autonomous Robotic Systems, 2014

An optimizing sampling-based motion planner with guaranteed robustness to bounded uncertainty.
Proceedings of the American Control Conference, 2014

Convergence analysis of the Hybrid Information and Plan Consensus Algorithm.
Proceedings of the American Control Conference, 2014

Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management.
Proceedings of the American Control Conference, 2014

2013
An outer-approximation approach for information-maximizing sensor selection.
Optim. Lett., 2013

Intelligent Cooperative Control Architecture: A Framework for Performance Improvement Using Safe Learning.
J. Intell. Robotic Syst., 2013

Information-Theoretic Motion Planning for Constrained Sensor Networks.
J. Aerosp. Inf. Syst., 2013

A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning.
Found. Trends Mach. Learn., 2013

Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture
CoRR, 2013

Probabilistically safe motion planning to avoid dynamic obstacles with uncertain motion patterns.
Auton. Robots, 2013

Batch-iFDD for Representation Expansion in Large MDPs.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Sensor Selection in High-Dimensional Gaussian Trees with Nuisances.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Scalable reward learning from demonstration.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Reinforcement learning with misspecified model classes.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Rapid transfer of controllers between UAVs using learning-based adaptive control.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Health Aware Planning under uncertainty for UAV missions with heterogeneous teams.
Proceedings of the 12th European Control Conference, 2013

Nonparametric adaptive control using Gaussian Processes with online hyperparameter estimation.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A concurrent learning adaptive-optimal control architecture for nonlinear systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A Bayesian nonparametric approach to adaptive control using Gaussian Processes.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Risk allocation strategies for distributed chance-constrained task allocation.
Proceedings of the American Control Conference, 2013

Bayesian nonparametric adaptive control of time-varying systems using Gaussian processes.
Proceedings of the American Control Conference, 2013

Multiagent allocation of Markov decision process tasks.
Proceedings of the American Control Conference, 2013

2012
Driver Behavior Classification at Intersections and Validation on Large Naturalistic Data Set.
IEEE Trans. Intell. Transp. Syst., 2012

The Impact of Human-Automation Collaboration in Decentralized Multiple Unmanned Vehicle Control.
Proc. IEEE, 2012

Distributed Planning Strategies to Ensure Network Connectivity for Dynamic Heterogeneous Teams.
IEEE J. Sel. Areas Commun., 2012

Guest Editorial: Communications Challenges and Dynamics for Unmanned Autonomous Vehicles.
IEEE J. Sel. Areas Commun., 2012

Operator Object Function Guidance for a Real-Time Unmanned Vehicle Scheduling Algorithm.
J. Aerosp. Comput. Inf. Commun., 2012

A hyperparameter consensus method for agreement under uncertainty.
Autom., 2012

Guaranteed infinite horizon avoidance of unpredictable, dynamically constrained obstacles.
Auton. Robots, 2012

Decentralized path planning for multi-agent teams with complex constraints.
Auton. Robots, 2012

Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Bayesian Nonparametric Inverse Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Improving the efficiency of Bayesian inverse reinforcement learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Multi-UAV network control through dynamic task allocation: Ensuring data-rate and bit-error-rate support.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2012

Allowing non-submodular score functions in distributed task allocation.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Scalable, MDP-based planning for multiple, cooperating agents.
Proceedings of the American Control Conference, 2012

Distributed chance-constrained task allocation for autonomous multi-agent teams.
Proceedings of the American Control Conference, 2012

Model estimation within planning and learning.
Proceedings of the American Control Conference, 2012

2011
Throughput Optimization in Mobile Backbone Networks.
IEEE Trans. Mob. Comput., 2011

Cooperative Distributed Robust Trajectory Optimization Using Receding Horizon MILP.
IEEE Trans. Control. Syst. Technol., 2011

Efficient Targeting of Sensor Networks for Large-Scale Systems.
IEEE Trans. Control. Syst. Technol., 2011

Active Exploration in Robust Unmanned Vehicle Task Assignment.
J. Aerosp. Comput. Inf. Commun., 2011

Behavior classification algorithms at intersections and validation using naturalistic data.
Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2011

A decentralized approach to multi-agent planning in the presence of constraints and uncertainty.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Design and flight testing of an autonomous variable-pitch quadrotor.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Decentralized path planning for multi-agent teams in complex environments using rapidly-exploring random trees.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Online Discovery of Feature Dependencies.
Proceedings of the 28th International Conference on Machine Learning, 2011

Real-time dynamic planning to maintain network connectivity in a team of unmanned air vehicles.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2011

Region of attraction comparison for gradient projection anti-windup compensated systems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Proportional-Integral Controllers for Minimum-Phase Nonaffine-in-Control Systems.
IEEE Trans. Autom. Control., 2010

Continuous trajectory planning of mobile sensors for informative forecasting.
Autom., 2010

Threat assessment design for driver assistance system at intersections.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

Threat-aware path planning in uncertain urban environments.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

An online algorithm for constrained POMDPs.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

A voice-commandable robotic forklift working alongside humans in minimally-prepared outdoor environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Analysis of mutual information for informative forecasting using mobile sensors.
Proceedings of the 11th International Conference on Control, 2010

An intelligent Cooperative Control Architecture.
Proceedings of the American Control Conference, 2010

Actor-Critic Policy Learning in Cooperative Planning.
Proceedings of the Embedded Reasoning, 2010

2009
Consensus-Based Decentralized Auctions for Robust Task Allocation.
IEEE Trans. Robotics, 2009

Real-Time Motion Planning With Applications to Autonomous Urban Driving.
IEEE Trans. Control. Syst. Technol., 2009

Increasing autonomy of UAVs.
IEEE Robotics Autom. Mag., 2009

Vision-based guidance and control of a hovering vehicle in unknown, GPS-denied environments.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Anti-windup compensation for nonlinear systems via gradient projection: Application to adaptive control.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

On Approximate Dynamic Inversion and Proportional-Integral control.
Proceedings of the American Control Conference, 2009

On the roles of smoothing in planning of informative paths.
Proceedings of the American Control Conference, 2009

Approximate dynamic programming using Bellman residual elimination and Gaussian process regression.
Proceedings of the American Control Conference, 2009

Robust adaptive Markov Decision Processes in multi-vehicle applications.
Proceedings of the American Control Conference, 2009

2008
UAV Task Assignment.
IEEE Robotics Autom. Mag., 2008

A perception-driven autonomous urban vehicle.
J. Field Robotics, 2008

The MIT-Cornell collision and why it happened.
J. Field Robotics, 2008

Unbiased Kalman Consensus Algorithm.
J. Aerosp. Comput. Inf. Commun., 2008

Motion planning for urban driving using RRT.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Autonomous aircraft flight control for constrained environments.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

Equivalence between Approximate Dynamic Inversion and Proportional-Integral control.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Simultaneous placement and assignment for exploration in mobile backbone networks.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Continuous motion planning for information forecast.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Approximate dynamic programming using support vector regression.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Estimation of non-stationary Markov Chain transition models.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Optimization of mobile backbone networks: Improved algorithms and approximation.
Proceedings of the American Control Conference, 2008

An outer-approximation algorithm for generalized maximum entropy sampling.
Proceedings of the American Control Conference, 2008

Group health management of UAV teams with applications to persistent surveillance.
Proceedings of the American Control Conference, 2008

Robust Markov Decision Processes using Sigma Point sampling.
Proceedings of the American Control Conference, 2008

2007
Distributed Robust Receding Horizon Control for Multivehicle Guidance.
IEEE Trans. Control. Syst. Technol., 2007

Robust distributed model predictive control.
Int. J. Control, 2007

The MIT Indoor Multi-Vehicle Flight Testbed.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Adaptive Observation Strategies for Forecast Error Minimization.
Proceedings of the Computational Science, 2007

Embedding Health Management into Mission Tasking for UAV Teams.
Proceedings of the American Control Conference, 2007

Robust Receding Horizon Control using Generalized Constraint Tightening.
Proceedings of the American Control Conference, 2007

Robust Cooperative Decentralized Trajectory Optimization using Receding Horizon MILP.
Proceedings of the American Control Conference, 2007

Three-Dimensional Flight Experiments Using On-Line Mixed-Integer Linear Programming Trajectory Optimization.
Proceedings of the American Control Conference, 2007

Ensemble-Based Adaptive Targeting of Mobile Sensor Networks.
Proceedings of the American Control Conference, 2007

2006
Experimental demonstration of coordinated control for multi-vehicle teams.
Int. J. Syst. Sci., 2006

Decentralized Cooperative Trajectory Optimization for UAVs with Coupling Constraints.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

UAV Search for Dynamic Targets with Uncertain Motion Models.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

A Robust Approach to the UAV Task Assignment Problem.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2004
Hybrid Model for Trajectory Planning of Agile Autonomous Vehicles.
J. Aerosp. Comput. Inf. Commun., 2004

2003
Modeling and H<sub>∞</sub> control for switched linear parameter-varying missile autopilot.
IEEE Trans. Control. Syst. Technol., 2003

2001
Estimation-based synthesis of H∞-optimal adaptive FIR filters for filtered-LMS problems.
IEEE Trans. Signal Process., 2001

Mixed integer programming for multi-vehicle path planning.
Proceedings of the 6th European Control Conference, 2001

2000
An Indoor Absolute Positioning System with No Line of Sight Restrictions and Building-Wide Coverage.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

1996
Finite element model-based robust controllers for the middeck active control experiment (MACE).
IEEE Trans. Control. Syst. Technol., 1996

Optimal Popov controller analysis and synthesis for systems with real parameter uncertainties.
IEEE Trans. Control. Syst. Technol., 1996

1994
Robust controllers for the Middeck Active Control Experiment using Popov controller synthesis.
IEEE Trans. Control. Syst. Technol., 1994

1982
Elimination of False-Locking in Long Loop Phase-Locked Receivers.
IEEE Trans. Commun., 1982


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