Changliu Liu

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 182

Top Venues

Publications

Xusheng Luo, Shaojun Xu, Ruixuan Liu, Changliu Liu
Decomposition-Based Hierarchical Task Allocation and Planning for Multi-Robots Under Hierarchical Temporal Logic Specifications. IEEE Robotics Autom. Lett. 9 (8) (2024)
Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion. CoRR (2024)
Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation. CoRR (2024)
Bo Ying Su, Yuchen Wu, Chengtao Wen, Changliu Liu
Optimizing Multi-Touch Textile and Tactile Skin Sensing Through Circuit Parameter Estimation. CoRR (2024)
Ruixuan Liu, Kangle Deng, Ziwei Wang, Changliu Liu
StableLego: Stability Analysis of Block Stacking Assembly. CoRR (2024)
Hanjiang Hu, Jianglin Lan, Changliu Liu
Real-time safe control of neural network dynamic models with sound approximation. L4DC (2024)
Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang
ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation. CoRR (2024)
Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Ruixuan Liu, Tianhao Wei, Changliu Liu
GUARD: A Safe Reinforcement Learning Benchmark. Trans. Mach. Learn. Res. 2024 (2024)
Yujie Yang, Zhilong Zheng, Shengbo Eben Li, Masayoshi Tomizuka, Changliu Liu
The Feasibility of Constrained Reinforcement Learning Algorithms: A Tutorial Study. CoRR (2024)
Hanjiang Hu, Jianglin Lan, Changliu Liu
Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation. CoRR (2024)
Zheng Wu, Yichuan Li, Wei Zhan, Changliu Liu, Yun-Hui Liu, Masayoshi Tomizuka
Efficient Reinforcement Learning of Task Planners for Robotic Palletization through Iterative Action Masking Learning. CoRR (2024)
Yujie Yang, Hanjiang Hu, Tianhao Wei, Shengbo Eben Li, Changliu Liu
Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis. CoRR (2024)
Ravi Pandya, Michelle Zhao, Changliu Liu, Reid G. Simmons, Henny Admoni
Multi-Agent Strategy Explanations for Human-Robot Collaboration. ICRA (2024)
Weiye Zhao, Tairan He, Feihan Li, Changliu Liu
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning. CoRR (2024)
Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris Kitani, Changliu Liu, Guanya Shi
OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning. CoRR (2024)
Tianhao Wei, Luca Marzari, Kai S. Yun, Hanjiang Hu, Peizhi Niu, Xusheng Luo, Changliu Liu
ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks. CoRR (2024)
Bo Ying Su, Yuchen Wu, Chengtao Wen, Changliu Liu
Optimizing Multi-Touch Textile and Tactile Skin Sensing Through Circuit Parameter Estimation. ICRA (2024)
Luca Marzari, Changliu Liu, Priya L. Donti, Enrico Marchesini
Improving Policy Optimization via ε-Retrain. CoRR (2024)
Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu
Real-time Safety Index Adaptation for Parameter-varying Systems via Determinant Gradient Ascend. CoRR (2024)
Tianhao Wei, Liqian Ma, Rui Chen, Weiye Zhao, Changliu Liu
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills. CoRR (2024)
Tianhao Wei, Ziwei Wang, Peizhi Niu, Abulikemu Abuduweili, Weiye Zhao, Casidhe Hutchison, Eric M. Sample, Changliu Liu
Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability. Trans. Mach. Learn. Res. 2024 (2024)
Xusheng Luo, Changliu Liu
Simultaneous Task Allocation and Planning for Multi-Robots under Hierarchical Temporal Logic Specifications. CoRR (2024)
Weiye Zhao, Rui Chen, Yifan Sun, Feihan Li, Tianhao Wei, Changliu Liu
State-wise Constrained Policy Optimization. Trans. Mach. Learn. Res. 2024 (2024)
Simin Liu, Kai S. Yun, John M. Dolan, Changliu Liu
Synthesis and Verification of Robust-Adaptive Safe Controllers. ECC (2024)
Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu
Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction. ICRA (2024)
Hongyi Chen, Abulikemu Abuduweili, Aviral Agrawal, Yunhai Han, Harish Ravichandar, Changliu Liu, Jeffrey Ichnowski
KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation. CoRR (2024)
Zeyang Li, Chuxiong Hu, Weiye Zhao, Changliu Liu
Learning Predictive Safety Filter via Decomposition of Robust Invariant Set. CoRR (2023)
Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu
Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction. CoRR (2023)
Tianhao Wei, Shucheng Kang, Ruixuan Liu, Changliu Liu
Zero-Shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction. CDC (2023)
Anirudh Chari, Rui Chen, Changliu Liu
Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning. CoRR (2023)
Christopher Brix, Mark Niklas Müller, Stanley Bak, Taylor T. Johnson, Changliu Liu
First Three Years of the International Verification of Neural Networks Competition (VNN-COMP). CoRR (2023)
Anirudh Chari, Rui Chen, Jaskaran Grover, Changliu Liu
An Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic. CoRR (2023)
Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
State-wise Safe Reinforcement Learning: A Survey. CoRR (2023)
Xusheng Luo, Shaojun Xu, Ruixuan Liu, Changliu Liu
Robotic Planning under Hierarchical Temporal Logic Specifications. CoRR (2023)
Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Tianhao Wei, Changliu Liu
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization. CoRR (2023)
Alvin Shek, Bo Ying Su, Rui Chen, Changliu Liu
Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method. ICRA (2023)
Abulikemu Abuduweili, Changliu Liu
Online Model Adaptation with Feedforward Compensation. CoRL (2023)
Tianhao Wei, Liqian Ma, Ravi Pandya, Changliu Liu
Robust Safe Control with Multi-Modal Uncertainty. CoRR (2023)
Tianhao Wei, Shucheng Kang, Ruixuan Liu, Changliu Liu
Zero-shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction. CoRR (2023)
Simin Liu, Kai S. Yun, John M. Dolan, Changliu Liu
Synthesis and verification of robust-adaptive safe controllers. CoRR (2023)
Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun
Interactive Car-Following: Matters but NOT Always. ITSC (2023)
Bo Ying Su, Zhongqi Wei, James McCann, Wenzhen Yuan, Changliu Liu
Customizing Textile and Tactile Skins for Interactive Industrial Robots. CoRR (2023)
Anirudh Chari, Rui Chen, Changliu Liu
Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning. IV (2023)
Weiye Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Changliu Liu
GUARD: A Safe Reinforcement Learning Benchmark. CoRR (2023)
Tianhao Wei, Shucheng Kang, Weiye Zhao, Changliu Liu
Persistently Feasible Robust Safe Control by Safety Index Synthesis and Convex Semi-Infinite Programming. IEEE Control. Syst. Lett. 7 (2023)
Nishant Mohanty, Jaskaran Grover, Changliu Liu, Katia P. Sycara
Distributed Multirobot Control for Non-Cooperative Herding. CoRR (2023)
Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu
Absolute Policy Optimization. CoRR (2023)
Guanxing Lu, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang
ThinkBot: Embodied Instruction Following with Thought Chain Reasoning. CoRR (2023)
Abulikemu Abuduweili, Changliu Liu
An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms. Trans. Mach. Learn. Res. 2023 (2023)
Tairan He, Weiye Zhao, Changliu Liu
AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning. AAAI (2023)
Yifan Sun, Weiye Zhao, Changliu Liu
Hybrid Task Constrained Planner for Robot Manipulator in Confined Environment. CoRR (2023)
Weiye Zhao, Tairan He, Changliu Liu
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. L4DC (2023)
Tzu-Yen Tseng, Ding-Jiun Huang, Jia-You Lin, Po-Jui Chang, Chung-Wei Lin, Changliu Liu
Consensus-Based Fault-Tolerant Platooning for Connected and Autonomous Vehicles. IV (2023)
Ruixuan Liu, Rui Chen, Abulikemu Abuduweili, Changliu Liu
Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control. CCTA (2023)
Ruixuan Liu, Yifan Sun, Changliu Liu
Robotic LEGO Assembly and Disassembly from Human Demonstration. CoRR (2023)
Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu
Safety Index Synthesis via Sum-of-Squares Programming. ACC (2023)
Ravi Pandya, Michelle Zhao, Changliu Liu, Reid G. Simmons, Henny Admoni
Multi-Agent Strategy Explanations for Human-Robot Collaboration. CoRR (2023)
Ruixuan Liu, Alan Chen, Xusheng Luo, Changliu Liu
Simulation-aided Learning from Demonstration for Robotic LEGO Construction. CoRR (2023)
Ravi Pandya, Tianhao Wei, Changliu Liu
Multimodal Safe Control for Human-Robot Interaction. CoRR (2023)
Peng Yin, Abulikemu Abuduweili, Shiqi Zhao, Lingyun Xu, Changliu Liu, Sebastian A. Scherer
BioSLAM: A Bioinspired Lifelong Memory System for General Place Recognition. IEEE Trans. Robotics 39 (6) (2023)
Rui Chen, Alvin Shek, Changliu Liu
Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands. CoRR (2023)
Hongyi Chen, Changliu Liu
Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments. CoRR (2023)
Ruixuan Liu, Yifan Sun, Changliu Liu
A Lightweight and Transferable Design for Robust LEGO Manipulation. CoRR (2023)
Hongyi Chen, Shiyu Feng, Ye Zhao, Changliu Liu, Patricio A. Vela
Safe Hierarchical Navigation in Crowded Dynamic Uncertain Environments. CoRR (2023)
Ruixuan Liu, Rui Chen, Abulikemu Abuduweili, Changliu Liu
Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control. CoRR (2023)
Jaskaran Grover, Changliu Liu, Katia P. Sycara
The Before, During, and After of Multi-robot Deadlock. Int. J. Robotics Res. 42 (6) (2023)
Tairan He, Weiye Zhao, Changliu Liu
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning. CoRR (2023)
Weiye Zhao, Rui Chen, Yifan Sun, Tianhao Wei, Changliu Liu
State-wise Constrained Policy Optimization. CoRR (2023)
Rui Chen, Alvin Shek, Changliu Liu
Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands. IEEE Robotics Autom. Lett. 8 (6) (2023)
Christopher Brix, Mark Niklas Müller, Stanley Bak, Taylor T. Johnson, Changliu Liu
First three years of the international verification of neural networks competition (VNN-COMP). Int. J. Softw. Tools Technol. Transf. 25 (3) (2023)
Cheng Tan, Changliu Liu, Zhihao Jia, Tianhao Wei
Building Verified Neural Networks for Computer Systems with Ouroboros. MLSys (2023)
Rui Chen, Weiye Zhao, Changliu Liu
Safety Index Synthesis with State-dependent Control Space. CoRR (2023)
Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun
Interactive Car-Following: Matters but NOT Always. CoRR (2023)
Suqin He, Weiye Zhao, Chuxiong Hu, Yu Zhu, Changliu Liu
A hierarchical long short term safety framework for efficient robot manipulation under uncertainty. Robotics Comput. Integr. Manuf. 82 (2023)
Christopher Brix, Stanley Bak, Changliu Liu, Taylor T. Johnson
The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results. CoRR (2023)
Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
State-wise Safe Reinforcement Learning: A Survey. IJCAI (2023)
Jaskaran Grover, Nishant Mohanty, Wenhao Luo, Changliu Liu, Katia P. Sycara
Noncooperative Herding With Control Barrier Functions: Theory and Experiments. CoRR (2022)
Ruixuan Liu, Rui Chen, Yifan Sun, Yu Zhao, Changliu Liu
Jerk-bounded Position Controller with Real-Time Task Modification for Interactive Industrial Robots. AIM (2022)
Jaskaran Grover, Nishant Mohanty, Changliu Liu, Wenhao Luo, Katia P. Sycara
Noncooperative Herding With Control Barrier Functions: Theory and Experiments. CDC (2022)
Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, Lijun Sun
Social Interactions for Autonomous Driving: A Review and Perspective. CoRR (2022)
Jessica EnShiuan Leu, Yujiao Cheng, Changliu Liu, Masayoshi Tomizuka
Robust Task Planning for Assembly Lines with Human-Robot Collaboration. CoRR (2022)
Chenran Li, Tu Trinh, Letian Wang, Changliu Liu, Masayoshi Tomizuka, Wei Zhan
Efficient Game-Theoretic Planning with Prediction Heuristic for Socially-Compliant Autonomous Driving. CoRR (2022)
Rui Chen, Chenxi Wang, Tianhao Wei, Changliu Liu
A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion. IROS (2022)
Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen
Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning. L4DC (2022)
Peng Yin, Abulikemu Abuduweili, Shiqi Zhao, Changliu Liu, Sebastian A. Scherer
BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition. CoRR (2022)
Hongyi Chen, Changliu Liu
Safe and Sample-Efficient Reinforcement Learning for Clustered Dynamic Environments. IEEE Control. Syst. Lett. 6 (2022)
Ruixuan Liu, Rui Chen, Changliu Liu
Task-Agnostic Adaptation for Safe Human-Robot Handover. CoRR (2022)
Abulikemu Abuduweili, Changliu Liu
An Optical Controlling Environment and Reinforcement Learning Benchmarks. CoRR (2022)
Chenran Li, Tu Trinh, Letian Wang, Changliu Liu, Masayoshi Tomizuka, Wei Zhan
Efficient Game-Theoretic Planning With Prediction Heuristic for Socially-Compliant Autonomous Driving. IEEE Robotics Autom. Lett. 7 (4) (2022)
Jaskaran Singh Grover, Changliu Liu, Katia P. Sycara
Control Barrier Functions-based Semi-Definite Programs (CBF-SDPs): Robust Safe Control For Dynamic Systems with Relative Degree Two Safety Indices. CoRR (2022)
Mark Niklas Müller, Christopher Brix, Stanley Bak, Changliu Liu, Taylor T. Johnson
The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results. CoRR (2022)
Ankur Deka, Changliu Liu, Katia P. Sycara
ARC - Actor Residual Critic for Adversarial Imitation Learning. CoRR (2022)
Simin Liu, Changliu Liu, John Dolan
Safe Control Under Input Limits with Neural Control Barrier Functions. CoRR (2022)
Ruixuan Liu, Rui Chen, Changliu Liu
Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm. CoRR (2022)
Weiye Zhao, Tairan He, Changliu Liu
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. CoRR (2022)
Peng Yin, Shiqi Zhao, Ivan Cisneros, Abulikemu Abuduweili, Guoquan Huang, Michael J. Milford, Changliu Liu, Howie Choset, Sebastian A. Scherer
General Place Recognition Survey: Towards the Real-world Autonomy Age. CoRR (2022)
Ravi Pandya, Changliu Liu
Safe and Efficient Exploration of Human Models During Human-Robot Interaction. CoRR (2022)
Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, Lijun Sun
Social Interactions for Autonomous Driving: A Review and Perspectives. Found. Trends Robotics 10 (3-4) (2022)
Jaskaran Grover, Changliu Liu, Katia P. Sycara
The Before, During, and After of Multi-Robot Deadlock. CoRR (2022)
Letian Wang, Yeping Hu, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Changliu Liu
Transferable and Adaptable Driving Behavior Prediction. CoRR (2022)

Changliu Liu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Changliu Liu