Changliu Liu - RankMe

270 papers A* 16A 7B 4C 23Misc 10Journal 182Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Approximately Optimal Global Planning for Contact-Rich SE(2) Manipulation on a Graph of Reachable Sets. CoRR Simin Liu, Tong Zhao, Bernhard Paus Graesdal, Peter Werner, Jiuguang Wang, John Dolan, Changliu Liu, Tao Pang
2026	J	`jnl`	Autonomous Integration and Improvement of Robotic Assembly using Skill Graph Representations. CoRR Peiqi Yu, Philip Huang, Chaitanya Chawla, Guanya Shi, Jiaoyang Li, Changliu Liu
2026	J	`jnl`	BrickSim: A Physics-Based Simulator for Manipulating Interlocking Brick Assemblies. CoRR Haowei Wen, Ruixuan Liu, Weiyi Piao, Siyu Li, Changliu Liu
2026	J	`jnl`	CAD-Prompted SAM3: Geometry-Conditioned Instance Segmentation for Industrial Objects. CoRR Zhenran Tang, Rohan Nagabhirava, Changliu Liu
2026	J	`jnl`	Contingency Planning for Safety-Critical Autonomous Vehicles: A Review and Perspectives. CoRR Lei Zheng, Luyao Zhang, Peiqi Yu, Yifan Sun, Sergio Grammatico, Jun Ma, Changliu Liu
2026	J	`jnl`	Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories. CoRR Yiyuan Pan, Xusheng Luo, Hanjiang Hu, Peiqi Yu, Changliu Liu
2026	J	`jnl`	From Decoupled to Coupled: Robustness Verification for Learning-based Keypoint Detection with Joint Specifications. CoRR Xusheng Luo, Changliu Liu
2026	J	`jnl`	Learning Safe-Stoppability Monitors for Humanoid Robots. CoRR Yifan Sun, Yiyuan Pan, Shangtao Li, Caiwu Ding, Tao Cui, Lingyun Wang, Changliu Liu
2026	J	`jnl`	RoCo Challenge at AAAI 2026: Benchmarking Robotic Collaborative Manipulation for Assembly Towards Industrial Automation. CoRR Haichao Liu, Yuheng Zhou, Zhenyu Wu, Ziheng Ji, Ziyu Shan, Qianzhun Wang, Ruixuan Liu, Zhiyuan Yang, Yejun Gu, Shalman Khan, Shijun Yan, Jun Liu, Haiyue Zhu, Changliu Liu, Jianfei Yang, Jingbing Zhang, Ziwei Wang
2026	A*	`conf`	Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis (Abstract Reprint). AAAI Yujie Yang, Hanjiang Hu, Tianhao Wei, Shengbo Eben Li, Changliu Liu
2026	J	`jnl`	Scaling Law of Neural Koopman Operators. CoRR Abulikemu Abuduweili, Yuyang Pang, Feihan Li, Changliu Liu
2026	J	`jnl`	Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks. Trans. Mach. Learn. Res. Hanjiang Hu, Alexander Robey, Changliu Liu
2026	J	`jnl`	Whole-Body Safe Control of Robotic Systems with Koopman Neural Dynamics. CoRR Sebin Jung, Abulikemu Abuduweili, Jiaxing Li, Changliu Liu
2025	J	`jnl`	APEX-MR: Multi-Robot Asynchronous Planning and Execution for Cooperative Assembly. CoRR Philip Huang, Ruixuan Liu, Changliu Liu, Jiaoyang Li
2025	J	`jnl`	ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills. CoRR Tairan He, Jiawei Gao, Wenli Xiao, Yuanhang Zhang, Zi Wang, Jiashun Wang, Zhengyi Luo, Guanqi He, Nikhil Sobanbab, Chaoyi Pan, Zeji Yi, Guannan Qu, Kris Kitani, Jessica K. Hodgins, Linxi Fan, Yuke Zhu, Changliu Liu, Guanya Shi
2025	J	`jnl`	Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods. ACM Trans. Cyber Phys. Syst. Xusheng Luo, Tianhao Wei, Simin Liu, Ziwei Wang, Luis Mattei-Mendez, Taylor Loper, Joshua Neighbor, Casidhe Hutchison, Changliu Liu
2025	J	`jnl`	Constrained Decoding for Robotics Foundation Models. CoRR Parv Kapoor, Akila Ganlath, Michael Clifford, Changliu Liu, Sebastian A. Scherer, Eunsuk Kang
2025	—	`conf`	Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots. L4DC Feihan Li, Abulikemu Abuduweili, Yifan Sun, Rui Chen, Weiye Zhao, Changliu Liu
2025	J	`jnl`	Control Invariant Sets for Neural Network Dynamical Systems and Recursive Feasibility in Model Predictive Control. CoRR Xiao Li, Tianhao Wei, Changliu Liu, Anouck Girard, Ilya V. Kolmanovsky
2025	J	`jnl`	Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid. CoRR Parv Kapoor, Ian Higgins, Nikhil Varma Keetha, Jay Patrikar, Brady G. Moon, Zelin Ye, Yao He, Ivan Cisneros, Yaoyu Hu, Changliu Liu, Eunsuk Kang, Sebastian A. Scherer
2025	J	`jnl`	Deployable and Generalizable Motion Prediction: Taxonomy, Open Challenges and Future Directions. CoRR Letian Wang, Marc-Antoine Lavoie, Sandro Papais, Barza Nisar, Yuxiao Chen, Wenhao Ding, Boris Ivanovic, Hao Shao, Abulikemu Abuduweili, Evan Cook, Yang Zhou, Péter Karkus, Jiachen Li, Changliu Liu, Marco Pavone, Steven Lake Waslander
2025	J	`jnl`	Dexterous Safe Control for Humanoids in Cluttered Environments via Projected Safe Set Algorithm. CoRR Rui Chen, Yifan Sun, Changliu Liu
2025	J	`jnl`	Enhancing Certifiable Semantic Robustness via Robust Pruning of Deep Neural Networks. CoRR Hanjiang Hu, Bowei Li, Ziwei Wang, Tianhao Wei, Casidhe Hutchison, Eric M. Sample, Changliu Liu
2025	J	`jnl`	Enhancing Sample Generation of Diffusion Models using Noise Level Correction. Trans. Mach. Learn. Res. Abulikemu Abuduweili, Chenyang Yuan, Changliu Liu, Frank Permenter
2025	A	`conf`	Eye-In-Finger: Smart Fingers for Delicate Assembly and Disassembly of LEGO. IROS Zhenran Tang, Ruixuan Liu, Changliu Liu
2025	J	`jnl`	Eye-in-Finger: Smart Fingers for Delicate Assembly and Disassembly of LEGO. CoRR Zhenran Tang, Ruixuan Liu, Changliu Liu
2025	J	`jnl`	From Refusal to Recovery: A Control-Theoretic Approach to Generative AI Guardrails. CoRR Ravi Pandya, Madison Bland, Duy P. Nguyen, Changliu Liu, Jaime Fernández Fisac, Andrea Bajcsy
2025	J	`jnl`	Generating Physically Stable and Buildable LEGO Designs from Text. CoRR Ava Pun, Kangle Deng, Ruixuan Liu, Deva Ramanan, Changliu Liu, Jun-Yan Zhu
2025	A*	`conf`	HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots. ICRA Tairan He, Wenli Xiao, Toru Lin, Zhengyi Luo, Zhenjia Xu, Zhenyu Jiang, Jan Kautz, Changliu Liu, Guanya Shi, Xiaolong Wang, Linxi Jim Fan, Yuke Zhu
2025	J	`jnl`	Hierarchical Temporal Logic Task and Motion Planning for Multi-Robot Systems. CoRR Zhongqi Wei, Xusheng Luo, Changliu Liu
2025	J	`jnl`	Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning. J. Artif. Intell. Res. Weiye Zhao, Feihan Li, Tairan He, Changliu Liu
2025	A	`conf`	Improving Policy Optimization via ε-Retrain. AAMAS Luca Marzari, Priya L. Donti, Changliu Liu, Enrico Marchesini
2025	—	`conf`	Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization. L4DC Yifan Sun, Feihan Li, Weiye Zhao, Rui Chen, Tianhao Wei, Changliu Liu
2025	J	`jnl`	Learn Zero-Constraint-Violation Safe Policy in Model-Free Constrained Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen
2025	—	`conf`	ModelVerification.jl: A Comprehensive Toolbox for Formally Verifying Deep Neural Networks. CAV (2) Tianhao Wei, Hanjiang Hu, Luca Marzari, Kai S. Yun, Peizhi Niu, Xusheng Luo, Changliu Liu
2025	J	`jnl`	NeSyPack: A Neuro-Symbolic Framework for Bimanual Logistics Packing. CoRR Bowei Li, Peiqi Yu, Zhenran Tang, Han Zhou, Yifan Sun, Ruixuan Liu, Changliu Liu
2025	B	`conf`	Passing-Order Decision for Three-to-Two Lane Merging of Connected and Autonomous Vehicles. RTCSA Cheng-Pei Chien, Ben-Hau Chia, Ching-Yun Chang, Shang-Chien Lin, Iris Hui-Ru Jiang, Changliu Liu, Chung-Wei Lin
2025	J	`jnl`	Physics-Aware Combinatorial Assembly Sequence Planning Using Data-Free Action Masking. IEEE Robotics Autom. Lett. Ruixuan Liu, Alan Chen, Weiye Zhao, Changliu Liu
2025	J	`jnl`	Prompt-to-Product: Generative Assembly via Bimanual Manipulation. CoRR Ruixuan Liu, Philip Huang, Ava Pun, Kangle Deng, Shobhit Aggarwal, Kevin Tang, Michelle Liu, Deva Ramanan, Jun-Yan Zhu, Jiaoyang Li, Changliu Liu
2025	—	`conf`	Revisiting the Initial Steps in Adaptive Gradient Descent Optimization. CPAL Abulikemu Abuduweili, Changliu Liu
2025	C	`conf`	Robot Failure Recovery Using Vision-Language Models With Optimized Prompts. ACC Hongyi Chen, Yunchao Yao, Ruixuan Liu, Changliu Liu, Jeffrey Ichnowski
2025	A*	`conf`	Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic Games. ICRA Ravi Pandya, Changliu Liu, Andrea Bajcsy
2025	J	`jnl`	SPARK: A Modular Benchmark for Humanoid Robot Safety. CoRR Yifan Sun, Rui Chen, Kai S. Yun, Yikuan Fang, Sebin Jung, Feihan Li, Bowei Li, Weiye Zhao, Changliu Liu
2025	A*	`conf`	Safe Control of Quadruped in Varying Dynamics via Safety Index Adaptation. ICRA Kai S. Yun, Rui Chen, Chase Dunaway, John M. Dolan, Changliu Liu
2025	—	`conf`	Safe PDE Boundary Control with Neural Operators. L4DC Hanjiang Hu, Changliu Liu
2025	J	`jnl`	Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis. J. Artif. Intell. Res. Yujie Yang, Hanjiang Hu, Tianhao Wei, Shengbo Eben Li, Changliu Liu
2025	J	`jnl`	Simultaneous Task Allocation and Planning for Multirobots Under Hierarchical Temporal Logic Specifications. IEEE Trans. Robotics Xusheng Luo, Changliu Liu
2025	J	`jnl`	Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks. CoRR Hanjiang Hu, Alexander Robey, Changliu Liu
2025	A*	`conf`	ThinkBot: Embodied Instruction Following with Thought Chain Reasoning. ICLR Guanxing Lu, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang
2025	A	`conf`	Time-Optimal Trajectory Generation with Multi-level Continuous Kinodynamics Constraints. IROS Ruixuan Liu, Changliu Liu, Jessica Leu
2025	J	`jnl`	Training Task Reasoning LLM Agents for Multi-Turn Task Planning via Single-Turn Reinforcement Learning. IEEE Control. Syst. Lett. Hanjiang Hu, Changliu Liu, Na Li, Yebin Wang
2025	J	`jnl`	Training Task Reasoning LLM Agents for Multi-turn Task Planning via Single-turn Reinforcement Learning. CoRR Hanjiang Hu, Changliu Liu, Na Li, Yebin Wang
2025	J	`jnl`	VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation. CoRR Tairan He, Zi Wang, Haoru Xue, Qingwei Ben, Zhengyi Luo, Wenli Xiao, Ye Yuan, Xingye Da, Fernando Castañeda, Shankar Sastry, Changliu Liu, Guanya Shi, Linxi Fan, Yuke Zhu
2025	J	`jnl`	Verifiable Safety Q-Filters Via Hamilton-Jacobi Reachability and Multiplicative Q-Networks. IEEE Control. Syst. Lett. Jiaxing Li, Hanjiang Hu, Yujie Yang, Changliu Liu
2025	J	`jnl`	Verifiable Safety Q-Filters via Hamilton-Jacobi Reachability and Multiplicative Q-Networks. CoRR Jiaxing Li, Hanjiang Hu, Yujie Yang, Changliu Liu
2024	A*	`conf`	Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence. ICML Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu
2024	J	`jnl`	Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction. CoRR Weiye Zhao, Feihan Li, Yifan Sun, Yujie Wang, Rui Chen, Tianhao Wei, Changliu Liu
2024	—	`conf`	Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion. Robotics: Science and Systems Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi
2024	J	`jnl`	Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion. CoRR Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi
2024	C	`conf`	An Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic. ACC Anirudh Chari, Rui Chen, Jaskaran Grover, Changliu Liu
2024	J	`jnl`	AssemblyComplete: 3D Combinatorial Construction with Deep Reinforcement Learning. CoRR Alan Chen, Changliu Liu
2024	J	`jnl`	Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts. CoRR Hongyi Chen, Yunchao Yao, Ruixuan Liu, Changliu Liu, Jeffrey Ichnowski
2024	J	`jnl`	Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods. CoRR Xusheng Luo, Tianhao Wei, Simin Liu, Ziwei Wang, Luis Mattei-Mendez, Taylor Loper, Joshua Neighbor, Casidhe Hutchison, Changliu Liu
2024	J	`jnl`	Constrained Bandwidth Observation Sharing for Multi-Robot Navigation in Dynamic Environments via Intelligent Knapsack. CoRR Anirudh Chari, Rui Chen, Changliu Liu
2024	J	`jnl`	Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots. CoRR Feihan Li, Abulikemu Abuduweili, Yifan Sun, Rui Chen, Weiye Zhao, Changliu Liu
2024	J	`jnl`	Decomposition-Based Hierarchical Task Allocation and Planning for Multi-Robots Under Hierarchical Temporal Logic Specifications. IEEE Robotics Autom. Lett. Xusheng Luo, Shaojun Xu, Ruixuan Liu, Changliu Liu
2024	J	`jnl`	Efficient Reinforcement Learning of Task Planners for Robotic Palletization Through Iterative Action Masking Learning. IEEE Robotics Autom. Lett. Zheng Wu, Yichuan Li, Wei Zhan, Changliu Liu, Yun-Hui Liu, Masayoshi Tomizuka
2024	J	`jnl`	Efficient Reinforcement Learning of Task Planners for Robotic Palletization through Iterative Action Masking Learning. CoRR Zheng Wu, Yichuan Li, Wei Zhan, Changliu Liu, Yun-Hui Liu, Masayoshi Tomizuka
2024	J	`jnl`	Enhancing Sample Generation of Diffusion Models using Noise Level Correction. CoRR Abulikemu Abuduweili, Chenyang Yuan, Changliu Liu, Frank Permenter
2024	J	`jnl`	Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity. CoRR Abulikemu Abuduweili, Changliu Liu
2024	J	`jnl`	GUARD: A Safe Reinforcement Learning Benchmark. Trans. Mach. Learn. Res. Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Ruixuan Liu, Tianhao Wei, Changliu Liu
2024	J	`jnl`	HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots. CoRR Tairan He, Wenli Xiao, Toru Lin, Zhengyi Luo, Zhenjia Xu, Zhenyu Jiang, Jan Kautz, Changliu Liu, Guanya Shi, Xiaolong Wang, Linxi Fan, Yuke Zhu
2024	C	`conf`	Hybrid Task Constrained Incremental Planner for Robot Manipulators in Confined Environments. ACC Yifan Sun, Weiye Zhao, Changliu Liu
2024	J	`jnl`	Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning. CoRR Weiye Zhao, Tairan He, Feihan Li, Changliu Liu
2024	J	`jnl`	Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability. Trans. Mach. Learn. Res. Tianhao Wei, Ziwei Wang, Peizhi Niu, Abulikemu Abuduweili, Weiye Zhao, Casidhe Hutchison, Eric M. Sample, Changliu Liu
2024	J	`jnl`	Improving Policy Optimization via ε-Retrain. CoRR Luca Marzari, Changliu Liu, Priya L. Donti, Enrico Marchesini
2024	Misc	`conf`	KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation. CoRL Hongyi Chen, Abulikemu Abuduweili, Aviral Agrawal, Yunhai Han, Harish Ravichandar, Changliu Liu, Jeffrey Ichnowski
2024	J	`jnl`	KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation. CoRR Hongyi Chen, Abulikemu Abuduweili, Aviral Agrawal, Yunhai Han, Harish Ravichandar, Changliu Liu, Jeffrey Ichnowski
2024	A	`conf`	Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation. IROS Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi
2024	J	`jnl`	Learning Human-to-Humanoid Real-Time Whole-Body Teleoperation. CoRR Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi
2024	—	`conf`	ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation. ECCV (35) Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang
2024	J	`jnl`	ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation. CoRR Guanxing Lu, Shiyi Zhang, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang
2024	Misc	`conf`	Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills. CoRL Tianhao Wei, Liqian Ma, Rui Chen, Weiye Zhao, Changliu Liu
2024	J	`jnl`	Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills. CoRR Tianhao Wei, Liqian Ma, Rui Chen, Weiye Zhao, Changliu Liu
2024	J	`jnl`	ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks. CoRR Tianhao Wei, Luca Marzari, Kai S. Yun, Hanjiang Hu, Peizhi Niu, Xusheng Luo, Changliu Liu
2024	A*	`conf`	Multi-Agent Strategy Explanations for Human-Robot Collaboration. ICRA Ravi Pandya, Michelle Zhao, Changliu Liu, Reid G. Simmons, Henny Admoni
2024	C	`conf`	Multimodal Safe Control for Human-Robot Interaction. ACC Ravi Pandya, Tianhao Wei, Changliu Liu
2024	A*	`conf`	NN4SysBench: Characterizing Neural Network Verification for Computer Systems. NeurIPS Shuyi Lin, Haoyu He, Tianhao Wei, Kaidi Xu, Huan Zhang, Gagandeep Singh, Changliu Liu, Cheng Tan
2024	Misc	`conf`	OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning. CoRL Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris M. Kitani, Changliu Liu, Guanya Shi
2024	J	`jnl`	OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning. CoRR Tairan He, Zhengyi Luo, Xialin He, Wenli Xiao, Chong Zhang, Weinan Zhang, Kris Kitani, Changliu Liu, Guanya Shi
2024	J	`jnl`	On the Boundary Feasibility for PDE Control with Neural Operators. CoRR Hanjiang Hu, Changliu Liu
2024	A*	`conf`	Optimizing Multi-Touch Textile and Tactile Skin Sensing Through Circuit Parameter Estimation. ICRA Bo Ying Su, Yuchen Wu, Chengtao Wen, Changliu Liu
2024	J	`jnl`	Optimizing Multi-Touch Textile and Tactile Skin Sensing Through Circuit Parameter Estimation. CoRR Bo Ying Su, Yuchen Wu, Chengtao Wen, Changliu Liu
2024	J	`jnl`	Physics-Aware Combinatorial Assembly Planning using Deep Reinforcement Learning. CoRR Ruixuan Liu, Alan Chen, Weiye Zhao, Changliu Liu
2024	J	`jnl`	Real-Time Safe Control of Neural Network Dynamic Models with Sound Approximation. CoRR Hanjiang Hu, Jianglin Lan, Changliu Liu
2024	C	`conf`	Real-Time Safety Index Adaptation for Parameter-Varying Systems via Determinant Gradient Ascend. ACC Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu
2024	J	`jnl`	Real-time Safety Index Adaptation for Parameter-varying Systems via Determinant Gradient Ascend. CoRR Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu
2024	—	`conf`	Real-time safe control of neural network dynamic models with sound approximation. L4DC Hanjiang Hu, Jianglin Lan, Changliu Liu
2024	J	`jnl`	Revisiting the Initial Steps in Adaptive Gradient Descent Optimization. CoRR Abulikemu Abuduweili, Changliu Liu
2024	J	`jnl`	Robots that Learn to Safely Influence via Prediction-Informed Reach-Avoid Dynamic Games. CoRR Ravi Pandya, Changliu Liu, Andrea Bajcsy
2024	J	`jnl`	Robust Tracking Control with Neural Network Dynamic Models under Input Perturbations. CoRR Huixuan Cheng, Hanjiang Hu, Changliu Liu
2024	J	`jnl`	Robustifying Long-term Human-Robot Collaboration through a Hierarchical and Multimodal Framework. CoRR Peiqi Yu, Abulikemu Abuduweili, Ruixuan Liu, Changliu Liu
2024	J	`jnl`	Safe Control of Quadruped in Varying Dynamics via Safety Index Adaptation. CoRR Kai S. Yun, Rui Chen, Chase Dunaway, John M. Dolan, Changliu Liu
2024	C	`conf`	Safety Index Synthesis with State-Dependent Control Space. ACC Rui Chen, Weiye Zhao, Changliu Liu
2024	J	`jnl`	Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis. CoRR Yujie Yang, Hanjiang Hu, Tianhao Wei, Shengbo Eben Li, Changliu Liu
2024	J	`jnl`	Scaling Up Natural Language Understanding for Multi-Robots Through the Lens of Hierarchy. CoRR Shaojun Xu, Xusheng Luo, Yutong Huang, Letian Leng, Ruixuan Liu, Changliu Liu
2024	J	`jnl`	Simultaneous Task Allocation and Planning for Multi-Robots under Hierarchical Temporal Logic Specifications. CoRR Xusheng Luo, Changliu Liu
2024	J	`jnl`	StableLego: Stability Analysis of Block Stacking Assembly. CoRR Ruixuan Liu, Kangle Deng, Ziwei Wang, Changliu Liu
2024	J	`jnl`	StableLego: Stability Analysis of Block Stacking Assembly. IEEE Robotics Autom. Lett. Ruixuan Liu, Kangle Deng, Ziwei Wang, Changliu Liu
2024	J	`jnl`	State-wise Constrained Policy Optimization. Trans. Mach. Learn. Res. Weiye Zhao, Rui Chen, Yifan Sun, Feihan Li, Tianhao Wei, Changliu Liu
2024	—	`conf`	Synthesis and Verification of Robust-Adaptive Safe Controllers. ECC Simin Liu, Kai S. Yun, John M. Dolan, Changliu Liu
2024	J	`jnl`	The Feasibility of Constrained Reinforcement Learning Algorithms: A Tutorial Study. CoRR Yujie Yang, Zhilong Zheng, Shengbo Eben Li, Masayoshi Tomizuka, Changliu Liu
2024	A*	`conf`	Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction. ICRA Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu
2024	Misc	`conf`	Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation. CoRL Hanjiang Hu, Yujie Yang, Tianhao Wei, Changliu Liu
2024	J	`jnl`	Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation. CoRR Hanjiang Hu, Yujie Yang, Tianhao Wei, Changliu Liu
2023	J	`jnl`	A Lightweight and Transferable Design for Robust LEGO Manipulation. CoRR Ruixuan Liu, Yifan Sun, Changliu Liu
2023	J	`jnl`	A hierarchical long short term safety framework for efficient robot manipulation under uncertainty. Robotics Comput. Integr. Manuf. Suqin He, Weiye Zhao, Chuxiong Hu, Yu Zhu, Changliu Liu
2023	J	`jnl`	An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms. Trans. Mach. Learn. Res. Abulikemu Abuduweili, Changliu Liu
2023	J	`jnl`	An Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic. CoRR Anirudh Chari, Rui Chen, Jaskaran Grover, Changliu Liu
2023	A*	`conf`	AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning. AAAI Tairan He, Weiye Zhao, Changliu Liu
2023	J	`jnl`	AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning. CoRR Tairan He, Weiye Zhao, Changliu Liu
2023	J	`jnl`	BioSLAM: A Bioinspired Lifelong Memory System for General Place Recognition. IEEE Trans. Robotics Peng Yin, Abulikemu Abuduweili, Shiqi Zhao, Lingyun Xu, Changliu Liu, Sebastian A. Scherer
2023	—	`conf`	Building Verified Neural Networks for Computer Systems with Ouroboros. MLSys Cheng Tan, Changliu Liu, Zhihao Jia, Tianhao Wei
2023	C	`conf`	Consensus-Based Fault-Tolerant Platooning for Connected and Autonomous Vehicles. IV Tzu-Yen Tseng, Ding-Jiun Huang, Jia-You Lin, Po-Jui Chang, Chung-Wei Lin, Changliu Liu
2023	J	`jnl`	Customizing Textile and Tactile Skins for Interactive Industrial Robots. CoRR Bo Ying Su, Zhongqi Wei, James McCann, Wenzhen Yuan, Changliu Liu
2023	J	`jnl`	Distributed Multirobot Control for Non-Cooperative Herding. CoRR Nishant Mohanty, Jaskaran Grover, Changliu Liu, Katia P. Sycara
2023	J	`jnl`	First Three Years of the International Verification of Neural Networks Competition (VNN-COMP). CoRR Christopher Brix, Mark Niklas Müller, Stanley Bak, Taylor T. Johnson, Changliu Liu
2023	J	`jnl`	First three years of the international verification of neural networks competition (VNN-COMP). Int. J. Softw. Tools Technol. Transf. Christopher Brix, Mark Niklas Müller, Stanley Bak, Taylor T. Johnson, Changliu Liu
2023	J	`jnl`	GUARD: A Safe Reinforcement Learning Benchmark. CoRR Weiye Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Changliu Liu
2023	J	`jnl`	Hybrid Task Constrained Planner for Robot Manipulator in Confined Environment. CoRR Yifan Sun, Weiye Zhao, Changliu Liu
2023	—	`conf`	Interactive Car-Following: Matters but NOT Always. ITSC Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun
2023	J	`jnl`	Interactive Car-Following: Matters but NOT Always. CoRR Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun
2023	J	`jnl`	Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization. CoRR Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Tianhao Wei, Changliu Liu
2023	J	`jnl`	Learning Predictive Safety Filter via Decomposition of Robust Invariant Set. CoRR Zeyang Li, Chuxiong Hu, Weiye Zhao, Changliu Liu
2023	A*	`conf`	Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method. ICRA Alvin Shek, Bo Ying Su, Rui Chen, Changliu Liu
2023	J	`jnl`	Multi-Agent Strategy Explanations for Human-Robot Collaboration. CoRR Ravi Pandya, Michelle Zhao, Changliu Liu, Reid G. Simmons, Henny Admoni
2023	J	`jnl`	Multimodal Safe Control for Human-Robot Interaction. CoRR Ravi Pandya, Tianhao Wei, Changliu Liu
2023	Misc	`conf`	Online Model Adaptation with Feedforward Compensation. CoRL Abulikemu Abuduweili, Changliu Liu
2023	J	`jnl`	Persistently Feasible Robust Safe Control by Safety Index Synthesis and Convex Semi-Infinite Programming. IEEE Control. Syst. Lett. Tianhao Wei, Shucheng Kang, Weiye Zhao, Changliu Liu
2023	—	`conf`	Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control. CCTA Ruixuan Liu, Rui Chen, Abulikemu Abuduweili, Changliu Liu
2023	J	`jnl`	Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control. CoRR Ruixuan Liu, Rui Chen, Abulikemu Abuduweili, Changliu Liu
2023	—	`conf`	Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. L4DC Weiye Zhao, Tairan He, Changliu Liu
2023	J	`jnl`	Robotic LEGO Assembly and Disassembly from Human Demonstration. CoRR Ruixuan Liu, Yifan Sun, Changliu Liu
2023	J	`jnl`	Robotic Planning under Hierarchical Temporal Logic Specifications. CoRR Xusheng Luo, Shaojun Xu, Ruixuan Liu, Changliu Liu
2023	J	`jnl`	Robust Safe Control with Multi-Modal Uncertainty. CoRR Tianhao Wei, Liqian Ma, Ravi Pandya, Changliu Liu
2023	J	`jnl`	Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands. CoRR Rui Chen, Alvin Shek, Changliu Liu
2023	J	`jnl`	Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands. IEEE Robotics Autom. Lett. Rui Chen, Alvin Shek, Changliu Liu
2023	J	`jnl`	Safe Hierarchical Navigation in Crowded Dynamic Uncertain Environments. CoRR Hongyi Chen, Shiyu Feng, Ye Zhao, Changliu Liu, Patricio A. Vela
2023	J	`jnl`	Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments. CoRR Hongyi Chen, Changliu Liu
2023	C	`conf`	Safety Index Synthesis via Sum-of-Squares Programming. ACC Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu
2023	J	`jnl`	Safety Index Synthesis with State-dependent Control Space. CoRR Rui Chen, Weiye Zhao, Changliu Liu
2023	J	`jnl`	Simulation-aided Learning from Demonstration for Robotic LEGO Construction. CoRR Ruixuan Liu, Alan Chen, Xusheng Luo, Changliu Liu
2023	C	`conf`	Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning. IV Anirudh Chari, Rui Chen, Changliu Liu
2023	J	`jnl`	Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning. CoRR Anirudh Chari, Rui Chen, Changliu Liu
2023	J	`jnl`	State-wise Constrained Policy Optimization. CoRR Weiye Zhao, Rui Chen, Yifan Sun, Tianhao Wei, Changliu Liu
2023	A*	`conf`	State-wise Safe Reinforcement Learning: A Survey. IJCAI Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
2023	J	`jnl`	State-wise Safe Reinforcement Learning: A Survey. CoRR Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
2023	J	`jnl`	Synthesis and verification of robust-adaptive safe controllers. CoRR Simin Liu, Kai S. Yun, John M. Dolan, Changliu Liu
2023	J	`jnl`	The Before, During, and After of Multi-robot Deadlock. Int. J. Robotics Res. Jaskaran Grover, Changliu Liu, Katia P. Sycara
2023	J	`jnl`	The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results. CoRR Christopher Brix, Stanley Bak, Changliu Liu, Taylor T. Johnson
2023	J	`jnl`	ThinkBot: Embodied Instruction Following with Thought Chain Reasoning. CoRR Guanxing Lu, Ziwei Wang, Changliu Liu, Jiwen Lu, Yansong Tang
2023	J	`jnl`	Towards Proactive Safe Human-Robot Collaborations via Data-Efficient Conditional Behavior Prediction. CoRR Ravi Pandya, Zhuoyuan Wang, Yorie Nakahira, Changliu Liu
2023	—	`conf`	Zero-Shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction. CDC Tianhao Wei, Shucheng Kang, Ruixuan Liu, Changliu Liu
2023	J	`jnl`	Zero-shot Transferable and Persistently Feasible Safe Control for High Dimensional Systems by Consistent Abstraction. CoRR Tianhao Wei, Shucheng Kang, Ruixuan Liu, Changliu Liu
2022	A	`conf`	A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion. IROS Rui Chen, Chenxi Wang, Tianhao Wei, Changliu Liu
2022	J	`jnl`	A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion. CoRR Rui Chen, Chenxi Wang, Tianhao Wei, Changliu Liu
2022	Misc	`conf`	ARC - Actor Residual Critic for Adversarial Imitation Learning. CoRL Ankur Deka, Changliu Liu, Katia P. Sycara
2022	J	`jnl`	ARC - Actor Residual Critic for Adversarial Imitation Learning. CoRR Ankur Deka, Changliu Liu, Katia P. Sycara
2022	J	`jnl`	An Optical Controlling Environment and Reinforcement Learning Benchmarks. CoRR Abulikemu Abuduweili, Changliu Liu
2022	J	`jnl`	BioSLAM: A Bio-inspired Lifelong Memory System for General Place Recognition. CoRR Peng Yin, Abulikemu Abuduweili, Shiqi Zhao, Changliu Liu, Sebastian A. Scherer
2022	J	`jnl`	Control Barrier Functions-based Semi-Definite Programs (CBF-SDPs): Robust Safe Control For Dynamic Systems with Relative Degree Two Safety Indices. CoRR Jaskaran Singh Grover, Changliu Liu, Katia P. Sycara
2022	—	`conf`	Distributed Multirobot Control for Non-cooperative Herding. DARS Nishant Mohanty, Jaskaran Grover, Changliu Liu, Katia P. Sycara
2022	J	`jnl`	Efficient Game-Theoretic Planning With Prediction Heuristic for Socially-Compliant Autonomous Driving. IEEE Robotics Autom. Lett. Chenran Li, Tu Trinh, Letian Wang, Changliu Liu, Masayoshi Tomizuka, Wei Zhan
2022	J	`jnl`	Efficient Game-Theoretic Planning with Prediction Heuristic for Socially-Compliant Autonomous Driving. CoRR Chenran Li, Tu Trinh, Letian Wang, Changliu Liu, Masayoshi Tomizuka, Wei Zhan
2022	J	`jnl`	General Place Recognition Survey: Towards the Real-world Autonomy Age. CoRR Peng Yin, Shiqi Zhao, Ivan Cisneros, Abulikemu Abuduweili, Guoquan Huang, Michael J. Milford, Changliu Liu, Howie Choset, Sebastian A. Scherer
2022	—	`conf`	Jerk-bounded Position Controller with Real-Time Task Modification for Interactive Industrial Robots. AIM Ruixuan Liu, Rui Chen, Yifan Sun, Yu Zhao, Changliu Liu
2022	—	`conf`	Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning. L4DC Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen
2022	J	`jnl`	Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method. CoRR Alvin Shek, Rui Chen, Changliu Liu
2022	—	`conf`	Noncooperative Herding With Control Barrier Functions: Theory and Experiments. CDC Jaskaran Grover, Nishant Mohanty, Changliu Liu, Wenhao Luo, Katia P. Sycara
2022	J	`jnl`	Noncooperative Herding With Control Barrier Functions: Theory and Experiments. CoRR Jaskaran Grover, Nishant Mohanty, Wenhao Luo, Changliu Liu, Katia P. Sycara
2022	J	`jnl`	Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. CoRR Weiye Zhao, Tairan He, Changliu Liu
2022	J	`jnl`	Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming. IEEE Control. Syst. Lett. Weiye Zhao, Suqin He, Changliu Liu
2022	J	`jnl`	Robust Safe Control for Uncertain Dynamic Models. CoRR Tianhao Wei, Shucheng Kang, Weiye Zhao, Changliu Liu
2022	J	`jnl`	Robust Task Planning for Assembly Lines with Human-Robot Collaboration. CoRR Jessica EnShiuan Leu, Yujiao Cheng, Changliu Liu, Masayoshi Tomizuka
2022	Misc	`conf`	Safe Control Under Input Limits with Neural Control Barrier Functions. CoRL Simin Liu, Changliu Liu, John M. Dolan
2022	J	`jnl`	Safe Control Under Input Limits with Neural Control Barrier Functions. CoRR Simin Liu, Changliu Liu, John M. Dolan
2022	—	`conf`	Safe Control with Neural Network Dynamic Models. L4DC Tianhao Wei, Changliu Liu
2022	—	`conf`	Safe Hierarchical Navigation in Crowded Dynamic Uncertain Environments. CDC Hongyi Chen, Shiyu Feng, Ye Zhao, Changliu Liu, Patricio A. Vela
2022	J	`jnl`	Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm. CoRR Ruixuan Liu, Rui Chen, Changliu Liu
2022	A	`conf`	Safe and Efficient Exploration of Human Models During Human-Robot Interaction. IROS Ravi Pandya, Changliu Liu
2022	J	`jnl`	Safe and Efficient Exploration of Human Models During Human-Robot Interaction. CoRR Ravi Pandya, Changliu Liu
2022	J	`jnl`	Safe and Sample-Efficient Reinforcement Learning for Clustered Dynamic Environments. IEEE Control. Syst. Lett. Hongyi Chen, Changliu Liu
2022	J	`jnl`	Safety Index Synthesis via Sum-of-Squares Programming. CoRR Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu
2022	J	`jnl`	Social Interactions for Autonomous Driving: A Review and Perspective. CoRR Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, Lijun Sun
2022	J	`jnl`	Social Interactions for Autonomous Driving: A Review and Perspectives. Found. Trends Robotics Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, Lijun Sun
2022	J	`jnl`	Task-Agnostic Adaptation for Safe Human-Robot Handover. CoRR Ruixuan Liu, Rui Chen, Changliu Liu
2022	J	`jnl`	The Before, During, and After of Multi-Robot Deadlock. CoRR Jaskaran Grover, Changliu Liu, Katia P. Sycara
2022	J	`jnl`	The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results. CoRR Mark Niklas Müller, Christopher Brix, Stanley Bak, Changliu Liu, Taylor T. Johnson
2022	J	`jnl`	Transferable and Adaptable Driving Behavior Prediction. CoRR Letian Wang, Yeping Hu, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Changliu Liu
2021	J	`jnl`	A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning. CoRR Zhenggang Tang, Kai Yan, Liting Sun, Wei Zhan, Changliu Liu
2021	J	`jnl`	Algorithms for Verifying Deep Neural Networks. Found. Trends Optim. Changliu Liu, Tomer Arnon, Christopher Lazarus, Christopher A. Strong, Clark W. Barrett, Mykel J. Kochenderfer
2021	C	`conf`	Deadlock Analysis and Resolution for Multi-robot Systems. WAFR Jaskaran Singh Grover, Changliu Liu, Katia P. Sycara
2021	A*	`conf`	Distributed Motion Coordination Using Convex Feasible Set Based Model Predictive Control. ICRA Hongyu Zhou, Changliu Liu
2021	J	`jnl`	Distributed Motion Coordination Using Convex Feasible Set Based Model Predictive Control. CoRR Hongyu Zhou, Changliu Liu
2021	—	`conf`	Feasible Region-Based System Identification Using Duality. ECC Jaskaran Grover, Changliu Liu, Katia P. Sycara
2021	—	`conf`	Flexible MPC-based Conflict Resolution Using Online Adaptive ADMM. ECC Jerry An, Giulia Giordano, Changliu Liu
2021	J	`jnl`	Flexible MPC-based Conflict Resolution Using Online Adaptive ADMM. CoRR Jerry An, Giulia Giordano, Changliu Liu
2021	J	`jnl`	Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction. CoRR Letian Wang, Yeping Hu, Liting Sun, Wei Zhan, Masayoshi Tomizuka, Changliu Liu
2021	C	`conf`	Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics. ACC Ruixuan Liu, Changliu Liu
2021	J	`jnl`	Human Motion Prediction Using Adaptable Recurrent Neural Networks and Inverse Kinematics. IEEE Control. Syst. Lett. Ruixuan Liu, Changliu Liu
2021	J	`jnl`	IADA: Iterative Adversarial Data Augmentation Using Formal Verification and Expert Guidance. CoRR Ruixuan Liu, Changliu Liu
2021	J	`jnl`	Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning. CoRR Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen
2021	J	`jnl`	Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning. CoRR Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen
2021	J	`jnl`	Learn from Human Teams: a Probabilistic Solution to Real-Time Collaborative Robot Handling with Dynamic Gesture Commands. CoRR Rui Chen, Alvin Shek, Changliu Liu
2021	Misc	`conf`	Model-free Safe Control for Zero-Violation Reinforcement Learning. CoRL Weiye Zhao, Tairan He, Changliu Liu
2021	J	`jnl`	Online Adaptation of Neural Network Models by Modified Extended Kalman Filter for Customizable and Transferable Driving Behavior Prediction. CoRR Letian Wang, Yeping Hu, Changliu Liu
2021	J	`jnl`	Online Verification of Deep Neural Networks under Domain or Weight Shift. CoRR Tianhao Wei, Changliu Liu
2021	—	`conf`	Parameter Identification for Multirobot Systems Using Optimization-based Controllers. MRS Jaskaran Grover, Changliu Liu, Katia P. Sycara
2021	J	`jnl`	Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming. CoRR Weiye Zhao, Suqin He, Changliu Liu
2021	J	`jnl`	Safe Control with Neural Network Dynamic Models. CoRR Tianhao Wei, Changliu Liu
2021	J	`jnl`	The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results. CoRR Stanley Bak, Changliu Liu, Taylor T. Johnson
2021	J	`jnl`	Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion. CoRR Boshen Niu, Chenxi Wang, Changliu Liu
2020	C	`conf`	A Dynamic Programming Approach to Optimal Lane Merging of Connected and Autonomous Vehicles. IV Shang-Chien Lin, Hsiang Hsu, Yi-Ting Lin, Chung-Wei Lin, Iris Hui-Ru Jiang, Changliu Liu
2020	J	`jnl`	A Microscopic Epidemic Model and Pandemic Prediction Using Multi-Agent Reinforcement Learning. CoRR Changliu Liu
2020	Misc	`conf`	Augmenting GAIL with BC for sample efficient imitation learning. CoRL Rohit Jena, Changliu Liu, Katia P. Sycara
2020	J	`jnl`	Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization. CoRR Weiye Zhao, Suqin He, Chengtao Wen, Changliu Liu
2020	C	`conf`	Experimental Evaluation of Human Motion Prediction Toward Safe and Efficient Human Robot Collaboration. ACC Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka
2020	J	`jnl`	Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration. CoRR Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka
2020	J	`jnl`	Feasible Region-based Identification Using Duality (Extended Version). CoRR Jaskaran Grover, Changliu Liu, Katia P. Sycara
2020	J	`jnl`	Parameter Identification for Multirobot Systems Using Optimization Based Controllers (Extended Version). CoRR Jaskaran Singh Grover, Changliu Liu, Katia P. Sycara
2020	—	`conf`	Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy. L4DC Abulikemu Abuduweili, Changliu Liu
2020	Misc	`conf`	Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion. CoRL Boshen Niu, Chenxi Wang, Changliu Liu
2020	J	`jnl`	Towards Efficient Human-Robot Collaboration With Robust Plan Recognition and Trajectory Prediction. IEEE Robotics Autom. Lett. Yujiao Cheng, Liting Sun, Changliu Liu, Masayoshi Tomizuka
2019	C	`conf`	AGen: Adaptable Generative Prediction Networks for Autonomous Driving. IV Wenwen Si, Tianhao Wei, Changliu Liu
2019	J	`jnl`	Adaptable Human Intention and Trajectory Prediction for Human-Robot Collaboration. CoRR Abulikemu Abuduweili, Siyan Li, Changliu Liu
2019	J	`jnl`	Algorithms for Verifying Deep Neural Networks. CoRR Changliu Liu, Tomer Arnon, Christopher Lazarus, Clark W. Barrett, Mykel J. Kochenderfer
2019	J	`jnl`	Deadlock Analysis and Resolution in Multi-Robot Systems: The Two Robot Case. CoRR Jaskaran Grover, Changliu Liu, Katia P. Sycara
2019	J	`jnl`	Graph-Based Modeling, Scheduling, and Verification for Intersection Management of Intelligent Vehicles. ACM Trans. Embed. Comput. Syst. Yi-Ting Lin, Hsiang Hsu, Shang-Chien Lin, Chung-Wei Lin, Iris Hui-Ru Jiang, Changliu Liu
2019	C	`conf`	Human Motion Prediction using Semi-adaptable Neural Networks. ACC Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka
2019	J	`jnl`	Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy. CoRR Abulikemu Abuduweili, Changliu Liu
2019	J	`jnl`	Safe Adaptation Using Energy Functions. CoRR Charles Noren, Changliu Liu
2019	—	`conf`	Safe Control Algorithms Using Energy Functions: A Uni ed Framework, Benchmark, and New Directions. CDC Tianhao Wei, Changliu Liu
2019	J	`jnl`	Safe Control Algorithms Using Energy Functions: A Unified Framework, Benchmark, and New Directions. CoRR Tianhao Wei, Changliu Liu
2019	A*	`conf`	Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. ICRA Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2019	J	`jnl`	Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. CoRR Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
2019	C	`conf`	Toward Modularization of Neural Network Autonomous Driving Policy Using Parallel Attribute Networks. IV Zhuo Xu, Haonan Chang, Chen Tang, Changliu Liu, Masayoshi Tomizuka
2018	—	`conf`	Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions. ITSC Changliu Liu, Mykel J. Kochenderfer
2018	J	`jnl`	Analytically Modeling Unmanaged Intersections with Microscopic Vehicle Interactions. CoRR Changliu Liu, Mykel J. Kochenderfer
2018	J	`jnl`	Analyzing Traffic Delay at Unmanaged Intersections. CoRR Changliu Liu, Mykel J. Kochenderfer
2018	J	`jnl`	Distributed Conflict Resolution for Connected Autonomous Vehicles. IEEE Trans. Intell. Veh. Changliu Liu, Chung-Wei Lin, Shinichi Shiraishi, Masayoshi Tomizuka
2018	C	`conf`	FOAD: Fast Optimization-based Autonomous Driving Motion Planner. ACC Jianyu Chen, Changliu Liu, Masayoshi Tomizuka
2018	C	`conf`	Fast Robot Motion Planning with Collision Avoidance and Temporal Optimization. ICARCV Hsien-Chung Lin, Changliu Liu, Masayoshi Tomizuka
2018	J	`jnl`	Human Motion Prediction using Adaptable Neural Networks. CoRR Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka
2018	C	`conf`	Improving Efficiency of Autonomous Vehicles by V2V Communication. ACC Changliu Liu, Chung-Wei Lin, Shinichi Shiraishi, Masayoshi Tomizuka
2018	J	`jnl`	Robot Safe Interaction System for Intelligent Industrial Co-Robots. CoRR Changliu Liu, Masayoshi Tomizuka
2018	J	`jnl`	SERoCS: Safe and Efficient Robot Collaborative Systems for Next Generation Intelligent Industrial Co-Robots. CoRR Changliu Liu, Te Tang, Hsien-Chung Lin, Yujiao Cheng, Masayoshi Tomizuka
2018	J	`jnl`	The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning. SIAM J. Control. Optim. Changliu Liu, Chung-Yen Lin, Masayoshi Tomizuka
2017	B	`conf`	Boundary layer heuristic for search-based nonholonomic path planning in maze-like environments. Intelligent Vehicles Symposium Changliu Liu, Yizhou Wang, Masayoshi Tomizuka
2017	C	`conf`	Convex feasible set algorithm for constrained trajectory smoothing. ACC Changliu Liu, Chung-Yen Lin, Yizhou Wang, Masayoshi Tomizuka
2017	J	`jnl`	Real time trajectory optimization for nonlinear robotic systems: Relaxation and convexification. Syst. Control. Lett. Changliu Liu, Masayoshi Tomizuka
2017	—	`conf`	Real-time collision avoidance algorithm on industrial manipulators. CCTA Hsien-Chung Lin, Changliu Liu, Yongxiang Fan, Masayoshi Tomizuka
2017	B	`conf`	Spatially-partitioned environmental representation and planning architecture for on-road autonomous driving. Intelligent Vehicles Symposium Wei Zhan, Jianyu Chen, Ching-Yao Chan, Changliu Liu, Masayoshi Tomizuka
2017	B	`conf`	Speed profile planning in dynamic environments via temporal optimization. Intelligent Vehicles Symposium Changliu Liu, Wei Zhan, Masayoshi Tomizuka
2017	J	`jnl`	The Convex Feasible Set Algorithm for Real Time Optimization in Motion Planning. CoRR Changliu Liu, Chung-Yen Lin, Masayoshi Tomizuka
2016	—	`conf`	A non-conservatively defensive strategy for urban autonomous driving. ITSC Wei Zhan, Changliu Liu, Ching-Yao Chan, Masayoshi Tomizuka
2016	A*	`conf`	Algorithmic safety measures for intelligent industrial co-robots. ICRA Changliu Liu, Masayoshi Tomizuka
2016	C	`conf`	Enabling safe freeway driving for automated vehicles. ACC Changliu Liu, Masayoshi Tomizuka
2016	A	`conf`	Robotic manipulation of deformable objects by tangent space mapping and non-rigid registration. IROS Te Tang, Changliu Liu, Wenjie Chen, Masayoshi Tomizuka
2016	C	`conf`	Who to Blame? learning and control strategies with information asymmetry. ACC Changliu Liu, Wenlong Zhang, Masayoshi Tomizuka
2015	C	`conf`	Safe exploration: Addressing various uncertainty levels in human robot interactions. ACC Changliu Liu, Masayoshi Tomizuka