Changliu Liu

Orcid: 0000-0002-3767-5517

According to our database1, Changliu Liu authored at least 127 papers between 2015 and 2024.

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Bibliography

2024
Real-time Safety Index Adaptation for Parameter-varying Systems via Determinant Gradient Ascend.
CoRR, 2024

ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation.
CoRR, 2024

Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation.
CoRR, 2024

StableLego: Stability Analysis of Block Stacking Assembly.
CoRR, 2024

Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion.
CoRR, 2024

Simultaneous Task Allocation and Planning for Multi-Robots under Hierarchical Temporal Logic Specifications.
CoRR, 2024

2023
BioSLAM: A Bioinspired Lifelong Memory System for General Place Recognition.
IEEE Trans. Robotics, December, 2023

A hierarchical long short term safety framework for efficient robot manipulation under uncertainty.
Robotics Comput. Integr. Manuf., August, 2023

First three years of the international verification of neural networks competition (VNN-COMP).
Int. J. Softw. Tools Technol. Transf., June, 2023

Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands.
IEEE Robotics Autom. Lett., June, 2023

The Before, During, and After of Multi-robot Deadlock.
Int. J. Robotics Res., May, 2023

Persistently Feasible Robust Safe Control by Safety Index Synthesis and Convex Semi-Infinite Programming.
IEEE Control. Syst. Lett., 2023

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

ThinkBot: Embodied Instruction Following with Thought Chain Reasoning.
CoRR, 2023

Multi-Agent Strategy Explanations for Human-Robot Collaboration.
CoRR, 2023

Multimodal Safe Control for Human-Robot Interaction.
CoRR, 2023

Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction.
CoRR, 2023

Learning Predictive Safety Filter via Decomposition of Robust Invariant Set.
CoRR, 2023

Synthesis and verification of robust-adaptive safe controllers.
CoRR, 2023

Robust Safe Control with Multi-Modal Uncertainty.
CoRR, 2023

An Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic.
CoRR, 2023

Safety Index Synthesis with State-dependent Control Space.
CoRR, 2023

Simulation-aided Learning from Demonstration for Robotic LEGO Construction.
CoRR, 2023

A Lightweight and Transferable Design for Robust LEGO Manipulation.
CoRR, 2023

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization.
CoRR, 2023

Robotic Planning under Hierarchical Temporal Logic Specifications.
CoRR, 2023

Customizing Textile and Tactile Skins for Interactive Industrial Robots.
CoRR, 2023

State-wise Constrained Policy Optimization.
CoRR, 2023

Robotic LEGO Assembly and Disassembly from Human Demonstration.
CoRR, 2023

GUARD: A Safe Reinforcement Learning Benchmark.
CoRR, 2023

Hybrid Task Constrained Planner for Robot Manipulator in Confined Environment.
CoRR, 2023

Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Consensus-Based Fault-Tolerant Platooning for Connected and Autonomous Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Interactive Car-Following: Matters but NOT Always.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

State-wise Safe Reinforcement Learning: A Survey.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Online Model Adaptation with Feedforward Compensation.
Proceedings of the Conference on Robot Learning, 2023

Zero-Shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023

Safety Index Synthesis via Sum-of-Squares Programming.
Proceedings of the American Control Conference, 2023

AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Efficient Game-Theoretic Planning With Prediction Heuristic for Socially-Compliant Autonomous Driving.
IEEE Robotics Autom. Lett., 2022

Social Interactions for Autonomous Driving: A Review and Perspectives.
Found. Trends Robotics, 2022

Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming.
IEEE Control. Syst. Lett., 2022

Safe and Sample-Efficient Reinforcement Learning for Clustered Dynamic Environments.
IEEE Control. Syst. Lett., 2022

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

Task-Agnostic Adaptation for Safe Human-Robot Handover.
CoRR, 2022

Robust Safe Control for Uncertain Dynamic Models.
CoRR, 2022

General Place Recognition Survey: Towards the Real-world Autonomy Age.
CoRR, 2022

BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition.
CoRR, 2022

Control Barrier Functions-based Semi-Definite Programs (CBF-SDPs): Robust Safe Control For Dynamic Systems with Relative Degree Two Safety Indices.
CoRR, 2022

Social Interactions for Autonomous Driving: A Review and Perspective.
CoRR, 2022

Robust Task Planning for Assembly Lines with Human-Robot Collaboration.
CoRR, 2022

Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm.
CoRR, 2022

An Optical Controlling Environment and Reinforcement Learning Benchmarks.
CoRR, 2022

Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method.
CoRR, 2022

Transferable and Adaptable Driving Behavior Prediction.
CoRR, 2022

Safe Control with Neural Network Dynamic Models.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Safe and Efficient Exploration of Human Models During Human-Robot Interaction.
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.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Distributed Multirobot Control for Non-cooperative Herding.
Proceedings of the Distributed Autonomous Robotic Systems - 16th International Symposium, 2022

Safe Control Under Input Limits with Neural Control Barrier Functions.
Proceedings of the Conference on Robot Learning, 2022

ARC - Actor Residual Critic for Adversarial Imitation Learning.
Proceedings of the Conference on Robot Learning, 2022

Noncooperative Herding With Control Barrier Functions: Theory and Experiments.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Safe Hierarchical Navigation in Crowded Dynamic Uncertain Environments.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Jerk-bounded Position Controller with Real-Time Task Modification for Interactive Industrial Robots.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

2021
Algorithms for Verifying Deep Neural Networks.
Found. Trends Optim., 2021

Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics.
IEEE Control. Syst. Lett., 2021

Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction.
CoRR, 2021

Learn from Human Teams: a Probabilistic Solution to Real-Time Collaborative Robot Handling with Dynamic Gesture Commands.
CoRR, 2021

Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning.
CoRR, 2021

Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction.
CoRR, 2021

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

IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance.
CoRR, 2021

A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning.
CoRR, 2021

Online Verification of Deep Neural Networks under Domain or Weight Shift.
CoRR, 2021

Deadlock Analysis and Resolution for Multi-robot Systems.
Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

Parameter Identification for Multirobot Systems Using Optimization-based Controllers.
Proceedings of the International Symposium on Multi-Robot and Multi-Agent Systems, 2021

Distributed Motion Coordination Using Convex Feasible Set Based Model Predictive Control.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Feasible Region-Based System Identification Using Duality.
Proceedings of the 2021 European Control Conference, 2021

Flexible MPC-based Conflict Resolution Using Online Adaptive ADMM.
Proceedings of the 2021 European Control Conference, 2021

Model-free Safe Control for Zero-Violation Reinforcement Learning.
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.
IEEE Robotics Autom. Lett., 2020

Feasible Region-based Identification Using Duality (Extended Version).
CoRR, 2020

Parameter Identification for Multirobot Systems Using Optimization Based Controllers (Extended Version).
CoRR, 2020

Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization.
CoRR, 2020

A Microscopic Epidemic Model and Pandemic Prediction Using Multi-Agent Reinforcement Learning.
CoRR, 2020

Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy.
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.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion.
Proceedings of the 4th Conference on Robot Learning, 2020

Augmenting GAIL with BC for sample efficient imitation learning.
Proceedings of the 4th Conference on Robot Learning, 2020

Experimental Evaluation of Human Motion Prediction Toward Safe and Efficient Human Robot Collaboration.
Proceedings of the 2020 American Control Conference, 2020

2019
Graph-Based Modeling, Scheduling, and Verification for Intersection Management of Intelligent Vehicles.
ACM Trans. Embed. Comput. Syst., 2019

Safe Adaptation Using Energy Functions.
CoRR, 2019

Deadlock Analysis and Resolution in Multi-Robot Systems: The Two Robot Case.
CoRR, 2019

Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration.
CoRR, 2019

Safe Control Algorithms Using Energy Functions: A Unified Framework, Benchmark, and New Directions.
CoRR, 2019

Algorithms for Verifying Deep Neural Networks.
CoRR, 2019

Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute Networks.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

AGen: Adaptable Generative Prediction Networks for Autonomous Driving.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning.
Proceedings of the International Conference on Robotics and Automation, 2019

Safe Control Algorithms Using Energy Functions: A Uni ed Framework, Benchmark, and New Directions.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Human Motion Prediction using Semi-adaptable Neural Networks.
Proceedings of the 2019 American Control Conference, 2019

2018
Distributed Conflict Resolution for Connected Autonomous Vehicles.
IEEE Trans. Intell. Veh., 2018

The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning.
SIAM J. Control. Optim., 2018

Human Motion Prediction using Adaptable Neural Networks.
CoRR, 2018

SERoCS: Safe and Efficient Robot Collaborative Systems for Next Generation Intelligent Industrial Co-Robots.
CoRR, 2018

Robot Safe Interaction System for Intelligent Industrial Co-Robots.
CoRR, 2018

Analyzing Traffic Delay at Unmanaged Intersections.
CoRR, 2018

Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Fast Robot Motion Planning with Collision Avoidance and Temporal Optimization.
Proceedings of the 15th International Conference on Control, 2018

Improving Efficiency of Autonomous Vehicles by V2V Communication.
Proceedings of the 2018 Annual American Control Conference, 2018

FOAD: Fast Optimization-based Autonomous Driving Motion Planner.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Real time trajectory optimization for nonlinear robotic systems: Relaxation and convexification.
Syst. Control. Lett., 2017

Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Speed profile planning in dynamic environments via temporal optimization.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Boundary layer heuristic for search-based nonholonomic path planning in maze-like environments.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Real-time collision avoidance algorithm on industrial manipulators.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

Convex feasible set algorithm for constrained trajectory smoothing.
Proceedings of the 2017 American Control Conference, 2017

2016
A non-conservatively defensive strategy for urban autonomous driving.
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.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Algorithmic safety measures for intelligent industrial co-robots.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Who to Blame? learning and control strategies with information asymmetry.
Proceedings of the 2016 American Control Conference, 2016

Enabling safe freeway driving for automated vehicles.
Proceedings of the 2016 American Control Conference, 2016

2015
Safe exploration: Addressing various uncertainty levels in human robot interactions.
Proceedings of the American Control Conference, 2015


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