Changliu Liu

CoRR, 2024

HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots.

[BibT_eX]

[DOI]

CoRR, 2024

Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation.

[BibT_eX]

[DOI]

CoRR, 2024

AssemblyComplete: 3D Combinatorial Construction with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Alan Chen

CoRR, 2024

Robust Tracking Control with Neural Network Dynamic Models under Input Perturbations.

[BibT_eX]

[DOI]

Huixuan Cheng

Hanjiang Hu

CoRR, 2024

Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction.

[BibT_eX]

[DOI]

CoRR, 2024

Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic Games.

[BibT_eX]

[DOI]

Ravi Pandya

Andrea Bajcsy

CoRR, 2024

Constrained Bandwidth Observation Sharing for Multi-Robot Navigation in Dynamic Environments via Intelligent Knapsack.

[BibT_eX]

[DOI]

Anirudh Chari

CoRR, 2024

Safe Control of Quadruped in Varying Dynamics via Safety Index Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts.

[BibT_eX]

[DOI]

CoRR, 2024

Physics-Aware Combinatorial Assembly Planning using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Scaling Up Natural Language Understanding for Multi-Robots Through the Lens of Hierarchy.

[BibT_eX]

[DOI]

CoRR, 2024

Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods.

[BibT_eX]

[DOI]

CoRR, 2024

Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation.

[BibT_eX]

[DOI]

CoRR, 2024

OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Policy Optimization via ε-Retrain.

[BibT_eX]

[DOI]

CoRR, 2024

Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills.

[BibT_eX]

[DOI]

CoRR, 2024

Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

The Feasibility of Constrained Reinforcement Learning Algorithms: A Tutorial Study.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation.

[BibT_eX]

[DOI]

CoRR, 2024

Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion.

[BibT_eX]

[DOI]

CoRR, 2024

Simultaneous Task Allocation and Planning for Multi-Robots under Hierarchical Temporal Logic Specifications.

[BibT_eX]

[DOI]

Xusheng Luo

CoRR, 2024

Real-time safe control of neural network dynamic models with sound approximation.

[BibT_eX]

[DOI]

Hanjiang Hu

Jianglin Lan

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Optimizing Multi-Touch Textile and Tactile Skin Sensing Through Circuit Parameter Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Multi-Agent Strategy Explanations for Human-Robot Collaboration.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Synthesis and Verification of Robust-Adaptive Safe Controllers.

[BibT_eX]

[DOI]

Proceedings of the European Control Conference, 2024

ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Hybrid Task Constrained Incremental Planner for Robot Manipulators in Confined Environments.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

Multimodal Safe Control for Human-Robot Interaction.

[BibT_eX]

[DOI]

Ravi Pandya

Proceedings of the American Control Conference, 2024

Real-Time Safety Index Adaptation for Parameter-Varying Systems via Determinant Gradient Ascend.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

Safety Index Synthesis with State-Dependent Control Space.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

An Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2024

2023

BioSLAM: A Bioinspired Lifelong Memory System for General Place Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, December, 2023

A hierarchical long short term safety framework for efficient robot manipulation under uncertainty.

[BibT_eX]

[DOI]

Robotics Comput. Integr. Manuf., August, 2023

First three years of the international verification of neural networks competition (VNN-COMP).

[BibT_eX]

[DOI]

Int. J. Softw. Tools Technol. Transf., June, 2023

Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands.

[BibT_eX]

[DOI]

Alvin Shek

IEEE Robotics Autom. Lett., June, 2023

The Before, During, and After of Multi-robot Deadlock.

[BibT_eX]

[DOI]

Int. J. Robotics Res., May, 2023

An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Persistently Feasible Robust Safe Control by Safety Index Synthesis and Convex Semi-Infinite Programming.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2023

The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results.

[BibT_eX]

[DOI]

CoRR, 2023

ThinkBot: Embodied Instruction Following with Thought Chain Reasoning.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Predictive Safety Filter via Decomposition of Robust Invariant Set.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Safe Control with Multi-Modal Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2023

Simulation-aided Learning from Demonstration for Robotic LEGO Construction.

[BibT_eX]

[DOI]

CoRR, 2023

A Lightweight and Transferable Design for Robust LEGO Manipulation.

[BibT_eX]

[DOI]

CoRR, 2023

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Robotic Planning under Hierarchical Temporal Logic Specifications.

[BibT_eX]

[DOI]

CoRR, 2023

Customizing Textile and Tactile Skins for Interactive Industrial Robots.

[BibT_eX]

[DOI]

CoRR, 2023

State-wise Constrained Policy Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Robotic LEGO Assembly and Disassembly from Human Demonstration.

[BibT_eX]

[DOI]

CoRR, 2023

GUARD: A Safe Reinforcement Learning Benchmark.

[BibT_eX]

[DOI]

CoRR, 2023

Hybrid Task Constrained Planner for Robot Manipulator in Confined Environment.

[BibT_eX]

[DOI]

CoRR, 2023

Building Verified Neural Networks for Computer Systems with Ouroboros.

[BibT_eX]

[DOI]

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models.

[BibT_eX]

[DOI]

Tairan He

Proceedings of the Learning for Dynamics and Control Conference, 2023

Consensus-Based Fault-Tolerant Platooning for Connected and Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning.

[BibT_eX]

[DOI]

Anirudh Chari

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Interactive Car-Following: Matters but NOT Always.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

State-wise Safe Reinforcement Learning: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Online Model Adaptation with Feedforward Compensation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Zero-Shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Safety Index Synthesis via Sum-of-Squares Programming.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2023

AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning.

[BibT_eX]

[DOI]

Tairan He

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Efficient Game-Theoretic Planning With Prediction Heuristic for Socially-Compliant Autonomous Driving.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Social Interactions for Autonomous Driving: A Review and Perspectives.

[BibT_eX]

[DOI]

Found. Trends Robotics, 2022

Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming.

[BibT_eX]

[DOI]

Suqin He

IEEE Control. Syst. Lett., 2022

Safe and Sample-Efficient Reinforcement Learning for Clustered Dynamic Environments.

[BibT_eX]

[DOI]

Hongyi Chen

IEEE Control. Syst. Lett., 2022

The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results.

[BibT_eX]

[DOI]

CoRR, 2022

Task-Agnostic Adaptation for Safe Human-Robot Handover.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Safe Control for Uncertain Dynamic Models.

[BibT_eX]

[DOI]

CoRR, 2022

General Place Recognition Survey: Towards the Real-world Autonomy Age.

[BibT_eX]

[DOI]

CoRR, 2022

BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

Control Barrier Functions-based Semi-Definite Programs (CBF-SDPs): Robust Safe Control For Dynamic Systems with Relative Degree Two Safety Indices.

[BibT_eX]

[DOI]

Jaskaran Singh Grover

CoRR, 2022

Social Interactions for Autonomous Driving: A Review and Perspective.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Task Planning for Assembly Lines with Human-Robot Collaboration.

[BibT_eX]

[DOI]

CoRR, 2022

Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm.

[BibT_eX]

[DOI]

CoRR, 2022

An Optical Controlling Environment and Reinforcement Learning Benchmarks.

[BibT_eX]

[DOI]

CoRR, 2022

Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method.

[BibT_eX]

[DOI]

Alvin Shek

CoRR, 2022

Transferable and Adaptable Driving Behavior Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Safe Control with Neural Network Dynamic Models.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

Safe and Efficient Exploration of Human Models During Human-Robot Interaction.

[BibT_eX]

[DOI]

Ravi Pandya

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Distributed Multirobot Control for Non-cooperative Herding.

[BibT_eX]

[DOI]

Proceedings of the Distributed Autonomous Robotic Systems - 16th International Symposium, 2022

Safe Control Under Input Limits with Neural Control Barrier Functions.

[BibT_eX]

[DOI]

Simin Liu

John M. Dolan

Proceedings of the Conference on Robot Learning, 2022

ARC - Actor Residual Critic for Adversarial Imitation Learning.

[BibT_eX]

[DOI]

Ankur Deka

Proceedings of the Conference on Robot Learning, 2022

Noncooperative Herding With Control Barrier Functions: Theory and Experiments.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Safe Hierarchical Navigation in Crowded Dynamic Uncertain Environments.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Jerk-bounded Position Controller with Real-Time Task Modification for Interactive Industrial Robots.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

2021

Algorithms for Verifying Deep Neural Networks.

[BibT_eX]

[DOI]

Tomer Arnon

Christopher Lazarus

Christopher A. Strong

Clark W. Barrett

Found. Trends Optim., 2021

Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2021

Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction.

[BibT_eX]

[DOI]

Letian Wang

Yeping Hu

CoRR, 2021

Learn from Human Teams: a Probabilistic Solution to Real-Time Collaborative Robot Handling with Dynamic Gesture Commands.

[BibT_eX]

[DOI]

Alvin Shek

CoRR, 2021

Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction.

[BibT_eX]

[DOI]

CoRR, 2021

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results.

[BibT_eX]

[DOI]

Stanley Bak

Taylor T. Johnson

CoRR, 2021

IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance.

[BibT_eX]

[DOI]

CoRR, 2021

A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Online Verification of Deep Neural Networks under Domain or Weight Shift.

[BibT_eX]

[DOI]

CoRR, 2021

Deadlock Analysis and Resolution for Multi-robot Systems.

[BibT_eX]

[DOI]

Jaskaran Singh Grover

Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

Parameter Identification for Multirobot Systems Using Optimization-based Controllers.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2021

Distributed Motion Coordination Using Convex Feasible Set Based Model Predictive Control.

[BibT_eX]

[DOI]

Hongyu Zhou

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Feasible Region-Based System Identification Using Duality.

[BibT_eX]

[DOI]

Proceedings of the 2021 European Control Conference, 2021

Flexible MPC-based Conflict Resolution Using Online Adaptive ADMM.

[BibT_eX]

[DOI]

Jerry An

Giulia Giordano

Proceedings of the 2021 European Control Conference, 2021

Model-free Safe Control for Zero-Violation Reinforcement Learning.

[BibT_eX]

[DOI]

Tairan He

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Towards Efficient Human-Robot Collaboration With Robust Plan Recognition and Trajectory Prediction.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Feasible Region-based Identification Using Duality (Extended Version).

[BibT_eX]

[DOI]

CoRR, 2020

Parameter Identification for Multirobot Systems Using Optimization Based Controllers (Extended Version).

[BibT_eX]

[DOI]

Jaskaran Singh Grover

CoRR, 2020

Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization.

[BibT_eX]

[DOI]

CoRR, 2020

A Microscopic Epidemic Model and Pandemic Prediction Using Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

A Dynamic Programming Approach to Optimal Lane Merging of Connected and Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion.

[BibT_eX]

[DOI]

Boshen Niu

Chenxi Wang

Proceedings of the 4th Conference on Robot Learning, 2020

Augmenting GAIL with BC for sample efficient imitation learning.

[BibT_eX]

[DOI]

Rohit Jena

Proceedings of the 4th Conference on Robot Learning, 2020

Experimental Evaluation of Human Motion Prediction Toward Safe and Efficient Human Robot Collaboration.

[BibT_eX]

[DOI]

Proceedings of the 2020 American Control Conference, 2020

2019

Graph-Based Modeling, Scheduling, and Verification for Intersection Management of Intelligent Vehicles.

[BibT_eX]

[DOI]

ACM Trans. Embed. Comput. Syst., 2019

Safe Adaptation Using Energy Functions.

[BibT_eX]

[DOI]

Charles Noren

CoRR, 2019

Deadlock Analysis and Resolution in Multi-Robot Systems: The Two Robot Case.

[BibT_eX]

[DOI]

CoRR, 2019

Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration.

[BibT_eX]

[DOI]

Siyan Li

CoRR, 2019

Safe Control Algorithms Using Energy Functions: A Unified Framework, Benchmark, and New Directions.

[BibT_eX]

[DOI]

CoRR, 2019

Algorithms for Verifying Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

AGen: Adaptable Generative Prediction Networks for Autonomous Driving.

[BibT_eX]

[DOI]

Wenwen Si

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning.

[BibT_eX]

[DOI]

Raunak P. Bhattacharyya

Derek J. Phillips

Katherine Rose Driggs-Campbell

Jayesh K. Gupta

Proceedings of the International Conference on Robotics and Automation, 2019

Safe Control Algorithms Using Energy Functions: A Uni ed Framework, Benchmark, and New Directions.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Human Motion Prediction using Semi-adaptable Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

2018

Distributed Conflict Resolution for Connected Autonomous Vehicles.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., 2018

The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning.

[BibT_eX]

[DOI]

Chung-Yen Lin

SIAM J. Control. Optim., 2018

Human Motion Prediction using Adaptable Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

SERoCS: Safe and Efficient Robot Collaborative Systems for Next Generation Intelligent Industrial Co-Robots.

[BibT_eX]

[DOI]

CoRR, 2018

Robot Safe Interaction System for Intelligent Industrial Co-Robots.

[BibT_eX]

[DOI]

CoRR, 2018

Analyzing Traffic Delay at Unmanaged Intersections.

[BibT_eX]

[DOI]

CoRR, 2018

Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Fast Robot Motion Planning with Collision Avoidance and Temporal Optimization.

[BibT_eX]

[DOI]

Hsien-Chung Lin

Proceedings of the 15th International Conference on Control, 2018

Improving Efficiency of Autonomous Vehicles by V2V Communication.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

FOAD: Fast Optimization-based Autonomous Driving Motion Planner.

[BibT_eX]

[DOI]

Jianyu Chen

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Real time trajectory optimization for nonlinear robotic systems: Relaxation and convexification.

[BibT_eX]

[DOI]

Syst. Control. Lett., 2017

Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Speed profile planning in dynamic environments via temporal optimization.

[BibT_eX]

[DOI]

Wei Zhan

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Boundary layer heuristic for search-based nonholonomic path planning in maze-like environments.

[BibT_eX]

[DOI]

Yizhou Wang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Real-time collision avoidance algorithm on industrial manipulators.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Convex feasible set algorithm for constrained trajectory smoothing.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

2016

A non-conservatively defensive strategy for urban autonomous driving.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Robotic manipulation of deformable objects by tangent space mapping and non-rigid registration.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Algorithmic safety measures for intelligent industrial co-robots.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Who to Blame? learning and control strategies with information asymmetry.

[BibT_eX]

[DOI]

Wenlong Zhang

Proceedings of the 2016 American Control Conference, 2016

Enabling safe freeway driving for automated vehicles.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

2015

Safe exploration: Addressing various uncertainty levels in human robot interactions.

[BibT_eX]

[DOI]