Human Motion Prediction using Adaptable Neural Networks. - Yujiao Cheng; Weiye Zhao; Changliu Liu; Masayoshi Tomizuka (CoRR, 2018)

Human Motion Prediction using Semi-adaptable Neural Networks. - Yujiao Cheng; Weiye Zhao; Changliu Liu; Masayoshi Tomizuka (ACC, 2019)

Experimental Evaluation of Human Motion Prediction Toward Safe and Efficient Human Robot Collaboration. - Weiye Zhao; Liting Sun; Changliu Liu; Masayoshi Tomizuka (ACC, 2020)

Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization. - Weiye Zhao; Suqin He; Chengtao Wen; Changliu Liu (CoRR, 2020)

Model-free Safe Control for Zero-Violation Reinforcement Learning. - Weiye Zhao; Tairan He; Changliu Liu (CoRL, 2021)

Robust Safe Control for Uncertain Dynamic Models. - Tianhao Wei; Shucheng Kang; Weiye Zhao; Changliu Liu (CoRR, 2022)

Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming. - Weiye Zhao; Suqin He; Changliu Liu (IEEE Control. Syst. Lett., 2022)

AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning. - Tairan He; Weiye Zhao; Changliu Liu (AAAI, 2023)

Safety Index Synthesis via Sum-of-Squares Programming. - Weiye Zhao; Tairan He; Tianhao Wei; Simin Liu; Changliu Liu (ACC, 2023)

State-wise Safe Reinforcement Learning: A Survey. - Weiye Zhao; Tairan He; Rui Chen 030; Tianhao Wei; Changliu Liu (IJCAI, 2023)

Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. - Weiye Zhao; Tairan He; Changliu Liu (L4DC, 2023)

Hybrid Task Constrained Planner for Robot Manipulator in Confined Environment. - Yifan Sun 011; Weiye Zhao; Changliu Liu (CoRR, 2023)

GUARD: A Safe Reinforcement Learning Benchmark. - Weiye Zhao; Rui Chen 030; Yifan Sun 011; Ruixuan Liu; Tianhao Wei; Changliu Liu (CoRR, 2023)

State-wise Constrained Policy Optimization. - Weiye Zhao; Rui Chen 030; Yifan Sun 011; Tianhao Wei; Changliu Liu (CoRR, 2023)

Learning Predictive Safety Filter via Decomposition of Robust Invariant Set. - Zeyang Li 001; Chuxiong Hu; Weiye Zhao; Changliu Liu (CoRR, 2023)

Persistently Feasible Robust Safe Control by Safety Index Synthesis and Convex Semi-Infinite Programming. - Tianhao Wei; Shucheng Kang; Weiye Zhao; Changliu Liu (IEEE Control. Syst. Lett., 2023)

A hierarchical long short term safety framework for efficient robot manipulation under uncertainty. - Suqin He; Weiye Zhao; Chuxiong Hu; Yu Zhu 001; Changliu Liu (Robotics Comput. Integr. Manuf., 2023)

Safety Index Synthesis with State-Dependent Control Space. - Rui Chen 030; Weiye Zhao; Changliu Liu (ACC, 2024)

Real-Time Safety Index Adaptation for Parameter-Varying Systems via Determinant Gradient Ascend. - Rui Chen 030; Weiye Zhao; Ruixuan Liu; Weiyang Zhang; Changliu Liu (ACC, 2024)

Hybrid Task Constrained Incremental Planner for Robot Manipulators in Confined Environments. - Yifan Sun 011; Weiye Zhao; Changliu Liu (ACC, 2024)

Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills. - Tianhao Wei; Liqian Ma; Rui Chen 030; Weiye Zhao; Changliu Liu (CoRL, 2024)

Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence. - Weiye Zhao; Feihan Li; Yifan Sun 011; Rui Chen 030; Tianhao Wei; Changliu Liu (ICML, 2024)

An overlap estimation guided feature metric approach for real point cloud registration. - Fukai Zhang; Lulu Zhang; Tiancheng He; Yiran Sun; Shan Zhao; Yanmei Zhang; Xueliang Zhao; Weiye Zhao (Comput. Graph., 2024)

Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning. - Weiye Zhao; Tairan He; Feihan Li; Changliu Liu (CoRR, 2024)

Physics-Aware Combinatorial Assembly Planning using Deep Reinforcement Learning. - Ruixuan Liu; Alan Chen 007; Weiye Zhao; Changliu Liu (CoRR, 2024)

WeHelp: A Shared Autonomy System for Wheelchair Users. - Abulikemu Abuduweili; Alice Wu; Tianhao Wei; Weiye Zhao (CoRR, 2024)

Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction. - Weiye Zhao; Feihan Li; Yifan Sun 011; Yujie Wang; Rui Chen 030; Tianhao Wei; Changliu Liu (CoRR, 2024)

Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability. - Tianhao Wei; Ziwei Wang 001; Peizhi Niu; Abulikemu Abuduweili; Weiye Zhao; Casidhe Hutchison; Eric M. Sample; Changliu Liu (Trans. Mach. Learn. Res., 2024)

State-wise Constrained Policy Optimization. - Weiye Zhao; Rui Chen 030; Yifan Sun 011; Feihan Li; Tianhao Wei; Changliu Liu (Trans. Mach. Learn. Res., 2024)

GUARD: A Safe Reinforcement Learning Benchmark. - Weiye Zhao; Yifan Sun 011; Feihan Li; Rui Chen 030; Ruixuan Liu; Tianhao Wei; Changliu Liu (Trans. Mach. Learn. Res., 2024)

Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots. - Feihan Li; Abulikemu Abuduweili; Yifan Sun 011; Rui Chen 030; Weiye Zhao; Changliu Liu (L4DC, 2025)

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization. - Yifan Sun 011; Feihan Li; Weiye Zhao; Rui Chen 030; Tianhao Wei; Changliu Liu (L4DC, 2025)

SPARK: A Modular Benchmark for Humanoid Robot Safety. - Yifan Sun 011; Rui Chen 030; Kai S. Yun; Yikuan Fang; Sebin Jung; Feihan Li; Bowei Li; Weiye Zhao; Changliu Liu (CoRR, 2025)

Physics-Aware Combinatorial Assembly Sequence Planning Using Data-Free Action Masking. - Ruixuan Liu; Alan Chen 007; Weiye Zhao; Changliu Liu (IEEE Robotics Autom. Lett., 2025)