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2020 – today
- 2024
[j24]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): 7182-7189 (2024)- [j23]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. IEEE Robotics Autom. Lett. 9(11): 9303-9310 (2024) - [j22]Ruixuan Liu, Kangle Deng, Ziwei Wang, Changliu Liu:
StableLego: Stability Analysis of Block Stacking Assembly. IEEE Robotics Autom. Lett. 9(11): 9383-9390 (2024) - [j21]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) - [j20]Weiye Zhao, Rui Chen, Yifan Sun, Feihan Li, Tianhao Wei, Changliu Liu:
State-wise Constrained Policy Optimization. Trans. Mach. Learn. Res. 2024 (2024) - [j19]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) - [c66]Anirudh Chari, Rui Chen, Jaskaran Grover, Changliu Liu:
An Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic. ACC 2024: 292-298 - [c65]Rui Chen, Weiye Zhao, Changliu Liu:
Safety Index Synthesis with State-Dependent Control Space. ACC 2024: 937-942 - [c64]Ravi Pandya, Tianhao Wei, Changliu Liu:
Multimodal Safe Control for Human-Robot Interaction. ACC 2024: 2672-2678 - [c63]Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu:
Real-Time Safety Index Adaptation for Parameter-Varying Systems via Determinant Gradient Ascend. ACC 2024: 3531-3536 - [c62]Yifan Sun, Weiye Zhao, Changliu Liu:
Hybrid Task Constrained Incremental Planner for Robot Manipulators in Confined Environments. ACC 2024: 3847-3852 - [c61]Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang:
ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation. ECCV (35) 2024: 349-366 - [c60]Simin Liu, Kai S. Yun, John M. Dolan, Changliu Liu:
Synthesis and Verification of Robust-Adaptive Safe Controllers. ECC 2024: 2265-2272 - [c59]Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu:
Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence. ICML 2024 - [c58]Bo Ying Su, Yuchen Wu, Chengtao Wen, Changliu Liu:
Optimizing Multi-Touch Textile and Tactile Skin Sensing Through Circuit Parameter Estimation. ICRA 2024: 5687-5693 - [c57]Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu:
Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction. ICRA 2024: 12956-12963 - [c56]Ravi Pandya, Michelle Zhao, Changliu Liu, Reid G. Simmons, Henny Admoni:
Multi-Agent Strategy Explanations for Human-Robot Collaboration. ICRA 2024: 17351-17357 - [c55]Hanjiang Hu, Jianglin Lan, Changliu Liu:
Real-time safe control of neural network dynamic models with sound approximation. L4DC 2024: 92-103 - [i108]Xusheng Luo, Changliu Liu:
Simultaneous Task Allocation and Planning for Multi-Robots under Hierarchical Temporal Logic Specifications. CoRR abs/2401.04003 (2024) - [i107]Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi:
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion. CoRR abs/2401.17583 (2024) - [i106]Ruixuan Liu, Kangle Deng, Ziwei Wang, Changliu Liu:
StableLego: Stability Analysis of Block Stacking Assembly. CoRR abs/2402.10711 (2024) - [i105]Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi:
Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation. CoRR abs/2403.04436 (2024) - [i104]Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang:
ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation. CoRR abs/2403.08321 (2024) - [i103]Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu:
Real-time Safety Index Adaptation for Parameter-varying Systems via Determinant Gradient Ascend. CoRR abs/2403.14968 (2024) - [i102]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 abs/2404.04772 (2024) - [i101]Yujie Yang, Zhilong Zheng, Shengbo Eben Li, Masayoshi Tomizuka, Changliu Liu:
The Feasibility of Constrained Reinforcement Learning Algorithms: A Tutorial Study. CoRR abs/2404.10064 (2024) - [i100]Hanjiang Hu, Jianglin Lan, Changliu Liu:
Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation. CoRR abs/2404.13456 (2024) - [i99]Bo Ying Su, Yuchen Wu, Chengtao Wen, Changliu Liu:
Optimizing Multi-Touch Textile and Tactile Skin Sensing Through Circuit Parameter Estimation. CoRR abs/2404.15131 (2024) - [i98]Weiye Zhao, Tairan He, Feihan Li, Changliu Liu:
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning. CoRR abs/2405.02754 (2024) - [i97]Tianhao Wei, Liqian Ma, Rui Chen, Weiye Zhao, Changliu Liu:
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills. CoRR abs/2405.11380 (2024) - [i96]Luca Marzari, Changliu Liu, Priya L. Donti, Enrico Marchesini:
Improving Policy Optimization via ε-Retrain. CoRR abs/2406.08315 (2024) - [i95]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 abs/2406.08858 (2024) - [i94]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 abs/2407.00548 (2024) - [i93]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 abs/2407.01639 (2024) - [i92]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 abs/2407.20532 (2024) - [i91]Xusheng Luo, Tianhao Wei, Simin Liu, Ziwei Wang, Luis Mattei-Mendez, Taylor Loper, Joshua Neighbor, Casidhe Hutchison, Changliu Liu:
Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods. CoRR abs/2408.00117 (2024) - [i90]Shaojun Xu, Xusheng Luo, Yutong Huang, Letian Leng, Ruixuan Liu, Changliu Liu:
Scaling Up Natural Language Understanding for Multi-Robots Through the Lens of Hierarchy. CoRR abs/2408.08188 (2024) - [i89]Ruixuan Liu, Alan Chen, Weiye Zhao, Changliu Liu:
Physics-Aware Combinatorial Assembly Planning using Deep Reinforcement Learning. CoRR abs/2408.10162 (2024) - [i88]Hongyi Chen, Yunchao Yao, Ruixuan Liu, Changliu Liu, Jeffrey Ichnowski:
Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts. CoRR abs/2409.03966 (2024) - [i87]Kai S. Yun, Rui Chen, Chase Dunaway, John M. Dolan, Changliu Liu:
Safe Control of Quadruped in Varying Dynamics via Safety Index Adaptation. CoRR abs/2409.09882 (2024) - [i86]Anirudh Chari, Rui Chen, Changliu Liu:
Constrained Bandwidth Observation Sharing for Multi-Robot Navigation in Dynamic Environments via Intelligent Knapsack. CoRR abs/2409.09975 (2024) - [i85]Ravi Pandya, Changliu Liu, Andrea Bajcsy:
Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic Games. CoRR abs/2409.12153 (2024) - [i84]Weiye Zhao, Feihan Li, Yifan Sun, Yujie Wang, Rui Chen, Tianhao Wei, Changliu Liu:
Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction. CoRR abs/2410.01212 (2024) - 2023
- [j18]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: 1213-1218 (2023) - [j17]Jaskaran Grover, Changliu Liu, Katia P. Sycara:
The Before, During, and After of Multi-robot Deadlock. Int. J. Robotics Res. 42(6): 317-336 (2023) - [j16]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): 3510-3517 (2023) - [j15]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: 102522 (2023) - [j14]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): 329-339 (2023) - [j13]Abulikemu Abuduweili, Changliu Liu:
An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms. Trans. Mach. Learn. Res. 2023 (2023) - [j12]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): 4855-4874 (2023) - [c54]Tairan He, Weiye Zhao, Changliu Liu:
AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning. AAAI 2023: 14847-14855 - [c53]Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu:
Safety Index Synthesis via Sum-of-Squares Programming. ACC 2023: 732-737 - [c52]Ruixuan Liu, Rui Chen, Abulikemu Abuduweili, Changliu Liu:
Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control. CCTA 2023: 339-345 - [c51]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: 8614-8619 - [c50]Abulikemu Abuduweili, Changliu Liu:
Online Model Adaptation with Feedforward Compensation. CoRL 2023: 3687-3709 - [c49]Alvin Shek, Bo Ying Su, Rui Chen, Changliu Liu:
Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method. ICRA 2023: 9910-9916 - [c48]Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu:
State-wise Safe Reinforcement Learning: A Survey. IJCAI 2023: 6814-6822 - [c47]Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun:
Interactive Car-Following: Matters but NOT Always. ITSC 2023: 5120-5125 - [c46]Anirudh Chari, Rui Chen, Changliu Liu:
Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning. IV 2023: 1-6 - [c45]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: 1-8 - [c44]Weiye Zhao, Tairan He, Changliu Liu:
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. L4DC 2023: 783-796 - [c43]Cheng Tan, Changliu Liu, Zhihao Jia, Tianhao Wei:
Building Verified Neural Networks for Computer Systems with Ouroboros. MLSys 2023 - [i83]Nishant Mohanty, Jaskaran Grover, Changliu Liu, Katia P. Sycara:
Distributed Multirobot Control for Non-Cooperative Herding. CoRR abs/2301.03293 (2023) - [i82]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 abs/2301.05815 (2023) - [i81]Tairan He, Weiye Zhao, Changliu Liu:
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning. CoRR abs/2301.10339 (2023) - [i80]Anirudh Chari, Rui Chen, Changliu Liu:
Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning. CoRR abs/2302.02266 (2023) - [i79]Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu:
State-wise Safe Reinforcement Learning: A Survey. CoRR abs/2302.03122 (2023) - [i78]Tianhao Wei, Shucheng Kang, Ruixuan Liu, Changliu Liu:
Zero-shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction. CoRR abs/2303.10277 (2023) - [i77]Hongyi Chen, Changliu Liu:
Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments. CoRR abs/2303.14265 (2023) - [i76]Hongyi Chen, Shiyu Feng, Ye Zhao, Changliu Liu, Patricio A. Vela:
Safe Hierarchical Navigation in Crowded Dynamic Uncertain Environments. CoRR abs/2303.14278 (2023) - [i75]Rui Chen, Alvin Shek, Changliu Liu:
Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands. CoRR abs/2304.06175 (2023) - [i74]Yifan Sun, Weiye Zhao, Changliu Liu:
Hybrid Task Constrained Planner for Robot Manipulator in Confined Environment. CoRR abs/2304.09260 (2023) - [i73]Weiye Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Changliu Liu:
GUARD: A Safe Reinforcement Learning Benchmark. CoRR abs/2305.13681 (2023) - [i72]Ruixuan Liu, Yifan Sun, Changliu Liu:
Robotic LEGO Assembly and Disassembly from Human Demonstration. CoRR abs/2305.15667 (2023) - [i71]Ruixuan Liu, Rui Chen, Abulikemu Abuduweili, Changliu Liu:
Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control. CoRR abs/2306.11862 (2023) - [i70]Weiye Zhao, Rui Chen, Yifan Sun, Tianhao Wei, Changliu Liu:
State-wise Constrained Policy Optimization. CoRR abs/2306.12594 (2023) - [i69]Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun:
Interactive Car-Following: Matters but NOT Always. CoRR abs/2307.16127 (2023) - [i68]Bo Ying Su, Zhongqi Wei, James McCann, Wenzhen Yuan, Changliu Liu:
Customizing Textile and Tactile Skins for Interactive Industrial Robots. CoRR abs/2308.03072 (2023) - [i67]Xusheng Luo, Shaojun Xu, Ruixuan Liu, Changliu Liu:
Robotic Planning under Hierarchical Temporal Logic Specifications. CoRR abs/2308.10393 (2023) - [i66]Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Tianhao Wei, Changliu Liu:
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization. CoRR abs/2308.13140 (2023) - [i65]Ruixuan Liu, Yifan Sun, Changliu Liu:
A Lightweight and Transferable Design for Robust LEGO Manipulation. CoRR abs/2309.02354 (2023) - [i64]Ruixuan Liu, Alan Chen, Xusheng Luo, Changliu Liu:
Simulation-aided Learning from Demonstration for Robotic LEGO Construction. CoRR abs/2309.11010 (2023) - [i63]Rui Chen, Weiye Zhao, Changliu Liu:
Safety Index Synthesis with State-dependent Control Space. CoRR abs/2309.12406 (2023) - [i62]Anirudh Chari, Rui Chen, Jaskaran Grover, Changliu Liu:
An Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic. CoRR abs/2309.13456 (2023) - [i61]Tianhao Wei, Liqian Ma, Ravi Pandya, Changliu Liu:
Robust Safe Control with Multi-Modal Uncertainty. CoRR abs/2309.16830 (2023) - [i60]Simin Liu, Kai S. Yun, John M. Dolan, Changliu Liu:
Synthesis and verification of robust-adaptive safe controllers. CoRR abs/2311.00822 (2023) - [i59]Zeyang Li, Chuxiong Hu, Weiye Zhao, Changliu Liu:
Learning Predictive Safety Filter via Decomposition of Robust Invariant Set. CoRR abs/2311.06769 (2023) - [i58]Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu:
Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction. CoRR abs/2311.11893 (2023) - [i57]Ravi Pandya, Tianhao Wei, Changliu Liu:
Multimodal Safe Control for Human-Robot Interaction. CoRR abs/2311.11898 (2023) - [i56]Ravi Pandya, Michelle Zhao, Changliu Liu, Reid G. Simmons, Henny Admoni:
Multi-Agent Strategy Explanations for Human-Robot Collaboration. CoRR abs/2311.11955 (2023) - [i55]Guanxing Lu, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang:
ThinkBot: Embodied Instruction Following with Thought Chain Reasoning. CoRR abs/2312.07062 (2023) - [i54]Christopher Brix, Stanley Bak, Changliu Liu, Taylor T. Johnson:
The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results. CoRR abs/2312.16760 (2023) - 2022
- [j11]Hongyi Chen, Changliu Liu:
Safe and Sample-Efficient Reinforcement Learning for Clustered Dynamic Environments. IEEE Control. Syst. Lett. 6: 1928-1933 (2022) - [j10]Weiye Zhao, Suqin He, Changliu Liu:
Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming. IEEE Control. Syst. Lett. 6: 3439-3444 (2022) - [j9]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): 198-376 (2022) - [j8]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): 10248-10255 (2022) - [c42]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: 1771-1778 - [c41]Jaskaran Grover, Nishant Mohanty, Changliu Liu, Wenhao Luo, Katia P. Sycara:
Noncooperative Herding With Control Barrier Functions: Theory and Experiments. CDC 2022: 80-86 - [c40]Hongyi Chen, Shiyu Feng, Ye Zhao, Changliu Liu, Patricio A. Vela:
Safe Hierarchical Navigation in Crowded Dynamic Uncertain Environments. CDC 2022: 1174-1181 - [c39]Ankur Deka, Changliu Liu, Katia P. Sycara:
ARC - Actor Residual Critic for Adversarial Imitation Learning. CoRL 2022: 1446-1456 - [c38]Simin Liu, Changliu Liu, John M. Dolan:
Safe Control Under Input Limits with Neural Control Barrier Functions. CoRL 2022: 1970-1980 - [c37]Nishant Mohanty, Jaskaran Grover, Changliu Liu, Katia P. Sycara:
Distributed Multirobot Control for Non-cooperative Herding. DARS 2022: 317-332 - [c36]Ravi Pandya, Changliu Liu:
Safe and Efficient Exploration of Human Models During Human-Robot Interaction. IROS 2022: 6708-6715 - [c35]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: 8894-8901 - [c34]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: 97-109 - [c33]Tianhao Wei, Changliu Liu:
Safe Control with Neural Network Dynamic Models. L4DC 2022: 739-750 - [i53]Letian Wang, Yeping Hu, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Changliu Liu:
Transferable and Adaptable Driving Behavior Prediction. CoRR abs/2202.05140 (2022) - [i52]Rui Chen, Chenxi Wang, Tianhao Wei, Changliu Liu:
A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion. CoRR abs/2203.03017 (2022) - [i51]Alvin Shek, Rui Chen, Changliu Liu:
Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method. CoRR abs/2203.04951 (2022) - [i50]Abulikemu Abuduweili, Changliu Liu:
An Optical Controlling Environment and Reinforcement Learning Benchmarks. CoRR abs/2203.12114 (2022) - [i49]Ruixuan Liu, Rui Chen, Changliu Liu:
Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm. CoRR abs/2204.03038 (2022) - [i48]Jessica EnShiuan Leu, Yujiao Cheng, Changliu Liu, Masayoshi Tomizuka:
Robust Task Planning for Assembly Lines with Human-Robot Collaboration. CoRR abs/2204.07936 (2022) - [i47]Jaskaran Grover, Nishant Mohanty, Wenhao Luo, Changliu Liu, Katia P. Sycara:
Noncooperative Herding With Control Barrier Functions: Theory and Experiments. CoRR abs/2204.10945 (2022) - [i46]Jaskaran Grover, Changliu Liu, Katia P. Sycara:
The Before, During, and After of Multi-Robot Deadlock. CoRR abs/2206.01781 (2022) - [i45]Ankur Deka, Changliu Liu, Katia P. Sycara:
ARC - Actor Residual Critic for Adversarial Imitation Learning. CoRR abs/2206.02095 (2022) - [i44]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 abs/2207.03673 (2022) - [i43]Ravi Pandya, Changliu Liu:
Safe and Efficient Exploration of Human Models During Human-Robot Interaction. CoRR abs/2208.01103 (2022) - [i42]Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, Lijun Sun:
Social Interactions for Autonomous Driving: A Review and Perspective. CoRR abs/2208.07541 (2022) - [i41]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 abs/2208.12252 (2022) - [i40]Peng Yin, Abulikemu Abuduweili, Shiqi Zhao, Changliu Liu, Sebastian A. Scherer:
BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition. CoRR abs/2208.14543 (2022) - [i39]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 abs/2209.04497 (2022) - [i38]Tianhao Wei, Shucheng Kang, Weiye Zhao, Changliu Liu:
Robust Safe Control for Uncertain Dynamic Models. CoRR abs/2209.06896 (2022) - [i37]Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu:
Safety Index Synthesis via Sum-of-Squares Programming. CoRR abs/2209.09134 (2022) - [i36]Ruixuan Liu, Rui Chen, Changliu Liu:
Task-Agnostic Adaptation for Safe Human-Robot Handover. CoRR abs/2209.09418 (2022) - [i35]Weiye Zhao, Tairan He, Changliu Liu:
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. CoRR abs/2210.01041 (2022) - [i34]Simin Liu, Changliu Liu, John M. Dolan:
Safe Control Under Input Limits with Neural Control Barrier Functions. CoRR abs/2211.11056 (2022) - [i33]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 abs/2212.10376 (2022) - 2021
- [j7]Ruixuan Liu, Changliu Liu:
Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics. IEEE Control. Syst. Lett. 5(5): 1651-1656 (2021) - [j6]Changliu Liu, Tomer Arnon, Christopher Lazarus, Christopher A. Strong, Clark W. Barrett, Mykel J. Kochenderfer:
Algorithms for Verifying Deep Neural Networks. Found. Trends Optim. 4(3-4): 244-404 (2021) - [c32]Ruixuan Liu, Changliu Liu:
Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics. ACC 2021: 3725-3730 - [c31]Weiye Zhao, Tairan He, Changliu Liu:
Model-free Safe Control for Zero-Violation Reinforcement Learning. CoRL 2021: 784-793 - [c30]Jaskaran Grover, Changliu Liu, Katia P. Sycara:
Feasible Region-Based System Identification Using Duality. ECC 2021: 255-262 - [c29]Jerry An, Giulia Giordano, Changliu Liu:
Flexible MPC-based Conflict Resolution Using Online Adaptive ADMM. ECC 2021: 2408-2413 - [c28]Hongyu Zhou, Changliu Liu:
Distributed Motion Coordination Using Convex Feasible Set Based Model Predictive Control. ICRA 2021: 8330-8336 - [c27]Jaskaran Grover, Changliu Liu, Katia P. Sycara:
Parameter Identification for Multirobot Systems Using Optimization-based Controllers. MRS 2021: 173-180 - [c26]Jaskaran Singh Grover, Changliu Liu, Katia P. Sycara:
Deadlock Analysis and Resolution for Multi-robot Systems. WAFR 2021: 294-312 - [i32]Hongyu Zhou, Changliu Liu:
Distributed Motion Coordination Using Convex Feasible Set Based Model Predictive Control. CoRR abs/2101.07994 (2021) - [i31]Jerry An, Giulia Giordano, Changliu Liu:
Flexible MPC-based Conflict Resolution Using Online Adaptive ADMM. CoRR abs/2103.14118 (2021) - [i30]Weiye Zhao, Suqin He, Changliu Liu:
Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming. CoRR abs/2104.08896 (2021) - [i29]Tianhao Wei, Changliu Liu:
Online Verification of Deep Neural Networks under Domain or Weight Shift. CoRR abs/2106.12732 (2021) - [i28]Boshen Niu, Chenxi Wang, Changliu Liu:
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion. CoRR abs/2108.02303 (2021) - [i27]Zhenggang Tang, Kai Yan, Liting Sun, Wei Zhan, Changliu Liu:
A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning. CoRR abs/2108.06589 (2021) - [i26]Ruixuan Liu, Changliu Liu:
IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance. CoRR abs/2108.06871 (2021) - [i25]Stanley Bak, Changliu Liu, Taylor T. Johnson:
The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results. CoRR abs/2109.00498 (2021) - [i24]Tianhao Wei, Changliu Liu:
Safe Control with Neural Network Dynamic Models. CoRR abs/2110.01110 (2021) - [i23]Letian Wang, Yeping Hu, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Changliu Liu:
Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction. CoRR abs/2111.00788 (2021) - [i22]Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen:
Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning. CoRR abs/2111.07695 (2021) - [i21]Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen:
Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning. CoRR abs/2111.12953 (2021) - [i20]Rui Chen, Alvin Shek, Changliu Liu:
Learn from Human Teams: a Probabilistic Solution to Real-Time Collaborative Robot Handling with Dynamic Gesture Commands. CoRR abs/2112.06020 (2021) - [i19]Letian Wang, Yeping Hu, Changliu Liu:
Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction. CoRR abs/2112.06129 (2021) - 2020
- [j5]Yujiao Cheng, Liting Sun, Changliu Liu, Masayoshi Tomizuka:
Towards Efficient Human-Robot Collaboration With Robust Plan Recognition and Trajectory Prediction. IEEE Robotics Autom. Lett. 5(2): 2602-2609 (2020) - [c25]Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka:
Experimental Evaluation of Human Motion Prediction Toward Safe and Efficient Human Robot Collaboration. ACC 2020: 4349-4354 - [c24]Rohit Jena, Changliu Liu, Katia P. Sycara:
Augmenting GAIL with BC for sample efficient imitation learning. CoRL 2020: 80-90 - [c23]Boshen Niu, Chenxi Wang, Changliu Liu:
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion. CoRL 2020: 2030-2039 - [c22]Shang-Chien Lin, Hsiang Hsu, Yi-Ting Lin, Chung-Wei Lin, Iris Hui-Ru Jiang, Changliu Liu:
A Dynamic Programming Approach to Optimal Lane Merging of Connected and Autonomous Vehicles. IV 2020: 349-356 - [c21]Abulikemu Abuduweili, Changliu Liu:
Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy. L4DC 2020: 65-74 - [i18]Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka:
Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration. CoRR abs/2001.09550 (2020) - [i17]Changliu Liu:
A Microscopic Epidemic Model and Pandemic Prediction Using Multi-Agent Reinforcement Learning. CoRR abs/2004.12959 (2020) - [i16]Weiye Zhao, Suqin He, Chengtao Wen, Changliu Liu:
Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization. CoRR abs/2008.03826 (2020) - [i15]Jaskaran Singh Grover, Changliu Liu, Katia P. Sycara:
Parameter Identification for Multirobot Systems Using Optimization Based Controllers (Extended Version). CoRR abs/2009.13817 (2020) - [i14]Jaskaran Grover, Changliu Liu, Katia P. Sycara:
Feasible Region-based Identification Using Duality (Extended Version). CoRR abs/2011.04904 (2020)
2010 – 2019
- 2019
- [j4]Yi-Ting Lin, Hsiang Hsu, Shang-Chien Lin, Chung-Wei Lin, Iris Hui-Ru Jiang, Changliu Liu:
Graph-Based Modeling, Scheduling, and Verification for Intersection Management of Intelligent Vehicles. ACM Trans. Embed. Comput. Syst. 18(5s): 95:1-95:21 (2019) - [c20]Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka:
Human Motion Prediction using Semi-adaptable Neural Networks. ACC 2019: 4884-4890 - [c19]Tianhao Wei, Changliu Liu:
Safe Control Algorithms Using Energy Functions: A Uni ed Framework, Benchmark, and New Directions. CDC 2019: 238-243 - [c18]Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. ICRA 2019: 789-795 - [c17]Wenwen Si, Tianhao Wei, Changliu Liu:
AGen: Adaptable Generative Prediction Networks for Autonomous Driving. IV 2019: 281-286 - [c16]Zhuo Xu, Haonan Chang, Chen Tang, Changliu Liu, Masayoshi Tomizuka:
Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute Networks. IV 2019: 1400-1407 - [i13]Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer:
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. CoRR abs/1903.05766 (2019) - [i12]Changliu Liu, Tomer Arnon, Christopher Lazarus, Clark W. Barrett, Mykel J. Kochenderfer:
Algorithms for Verifying Deep Neural Networks. CoRR abs/1903.06758 (2019) - [i11]Tianhao Wei, Changliu Liu:
Safe Control Algorithms Using Energy Functions: A Unified Framework, Benchmark, and New Directions. CoRR abs/1908.01883 (2019) - [i10]Abulikemu Abuduweili, Siyan Li, Changliu Liu:
Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration. CoRR abs/1909.05089 (2019) - [i9]Jaskaran Grover, Changliu Liu, Katia P. Sycara:
Deadlock Analysis and Resolution in Multi-Robot Systems: The Two Robot Case. CoRR abs/1911.09146 (2019) - [i8]Abulikemu Abuduweili, Changliu Liu:
Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy. CoRR abs/1912.01790 (2019) - [i7]Charles Noren, Changliu Liu:
Safe Adaptation Using Energy Functions. CoRR abs/1912.09095 (2019) - 2018
- [j3]Changliu Liu, Chung-Yen Lin, Masayoshi Tomizuka:
The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning. SIAM J. Control. Optim. 56(4): 2712-2733 (2018) - [j2]Changliu Liu, Chung-Wei Lin, Shinichi Shiraishi, Masayoshi Tomizuka:
Distributed Conflict Resolution for Connected Autonomous Vehicles. IEEE Trans. Intell. Veh. 3(1): 18-29 (2018) - [c15]Jianyu Chen, Changliu Liu, Masayoshi Tomizuka:
FOAD: Fast Optimization-based Autonomous Driving Motion Planner. ACC 2018: 4725-4732 - [c14]Changliu Liu, Chung-Wei Lin, Shinichi Shiraishi, Masayoshi Tomizuka:
Improving Efficiency of Autonomous Vehicles by V2V Communication. ACC 2018: 4778-4783 - [c13]Hsien-Chung Lin, Changliu Liu, Masayoshi Tomizuka:
Fast Robot Motion Planning with Collision Avoidance and Temporal Optimization. ICARCV 2018: 29-35 - [c12]Changliu Liu, Mykel J. Kochenderfer:
Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions. ITSC 2018: 2352-2357 - [i6]Changliu Liu, Mykel J. Kochenderfer:
Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions. CoRR abs/1804.04746 (2018) - [i5]Changliu Liu, Mykel J. Kochenderfer:
Analyzing Traffic Delay at Unmanaged Intersections. CoRR abs/1806.02660 (2018) - [i4]Changliu Liu, Masayoshi Tomizuka:
Robot Safe Interaction System for Intelligent Industrial Co-Robots. CoRR abs/1808.03983 (2018) - [i3]Changliu Liu, Te Tang, Hsien-Chung Lin, Yujiao Cheng, Masayoshi Tomizuka:
SERoCS: Safe and Efficient Robot Collaborative Systems for Next Generation Intelligent Industrial Co-Robots. CoRR abs/1809.08215 (2018) - [i2]Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka:
Human Motion Prediction using Adaptable Neural Networks. CoRR abs/1810.00781 (2018) - 2017
- [j1]Changliu Liu, Masayoshi Tomizuka:
Real time trajectory optimization for nonlinear robotic systems: Relaxation and convexification. Syst. Control. Lett. 108: 56-63 (2017) - [c11]Changliu Liu, Chung-Yen Lin, Yizhou Wang, Masayoshi Tomizuka:
Convex feasible set algorithm for constrained trajectory smoothing. ACC 2017: 4177-4182 - [c10]Hsien-Chung Lin, Changliu Liu, Yongxiang Fan, Masayoshi Tomizuka:
Real-time collision avoidance algorithm on industrial manipulators. CCTA 2017: 1294-1299 - [c9]Changliu Liu, Wei Zhan, Masayoshi Tomizuka:
Speed profile planning in dynamic environments via temporal optimization. Intelligent Vehicles Symposium 2017: 154-159 - [c8]Wei Zhan, Jianyu Chen, Ching-Yao Chan, Changliu Liu, Masayoshi Tomizuka:
Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving. Intelligent Vehicles Symposium 2017: 632-639 - [c7]Changliu Liu, Yizhou Wang, Masayoshi Tomizuka:
Boundary layer heuristic for search-based nonholonomic path planning in maze-like environments. Intelligent Vehicles Symposium 2017: 831-836 - [i1]Changliu Liu, Chung-Yen Lin, Masayoshi Tomizuka:
The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning. CoRR abs/1709.00627 (2017) - 2016
- [c6]Changliu Liu, Masayoshi Tomizuka:
Enabling safe freeway driving for automated vehicles. ACC 2016: 3461-3467 - [c5]Changliu Liu, Wenlong Zhang, Masayoshi Tomizuka:
Who to Blame? learning and control strategies with information asymmetry. ACC 2016: 4859-4864 - [c4]Changliu Liu, Masayoshi Tomizuka:
Algorithmic safety measures for intelligent industrial co-robots. ICRA 2016: 3095-3102 - [c3]Te Tang, Changliu Liu, Wenjie Chen, Masayoshi Tomizuka:
Robotic manipulation of deformable objects by tangent space mapping and non-rigid registration. IROS 2016: 2689-2696 - [c2]Wei Zhan, Changliu Liu, Ching-Yao Chan, Masayoshi Tomizuka:
A non-conservatively defensive strategy for urban autonomous driving. ITSC 2016: 459-464 - 2015
- [c1]Changliu Liu, Masayoshi Tomizuka:
Safe exploration: Addressing various uncertainty levels in human robot interactions. ACC 2015: 465-470
Coauthor Index
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