Safe Multi-Agent Reinforcement Learning through Decentralized Multiple Control Barrier Functions. - Zhiyuan Cai; Huanhui Cao; Wenjie Lu; Lin Zhang 060; Hao Xiong 004 (CoRR, 2021)

A Dynamics Perspective of Pursuit-Evasion Games of Intelligent Agents with the Ability to Learn. - Hao Xiong 004; Huanhui Cao; Lin Zhang 060; Wenjie Lu (CoRR, 2021)

Modeling and Control of a Cable-Driven Parallel Robot Allowing Cable-edge Collisions. - Yusheng Hu; Yongwei Zou; Huanhui Cao; Wenjie Lu; Hao Xiong 004 (ICARM, 2022)

On the Influence of Time-delay on a Pursuit-evasion Game of an Omnidirectional Robot Evader with Delayed Information and a Differential Drive Robot Pursuer. - Hairuo Wei; Huanhui Cao; Qingbin Gao; Lin Zhang 060; Hao Xiong 004 (ICARM, 2022)

Data-Driven Kinematic Control Scheme for Cable-Driven Parallel Robots Allowing Collisions. - Yongwei Zou; Yusheng Hu; Huanhui Cao; Yuchen Xu 005; Yuanjie Yu; Wenjie Lu; Hao Xiong 004 (IROS, 2022)

Safe Reinforcement Learning for a Robot Being Pursued but with Objectives Covering More Than Capture-avoidance. - Huanhui Cao; Zhiyuan Cai; Hairuo Wei; Wenjie Lu; Lin Zhang 060; Hao Xiong 004 (CoRR, 2022)

Non-cascaded Control Barrier Functions for the Safe Control of Quadrotors. - Weifeng Zeng; Huanhui Cao; Wenjie Lu; Hao Xiong 004 (CoRR, 2022)

Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots With Mobile Bases via Sim-to-Real Reinforcement Learning. - Yuming Liu; Zhihao Cao; Hao Xiong 004; Junfeng Du; Huanhui Cao; Lin Zhang 060 (IEEE Robotics Autom. Lett., 2023)

Symmetry-Informed Reinforcement Learning and its Application to Low-Level Attitude Control of Quadrotors. - Junchang Huang; Weifeng Zeng; Hao Xiong 004; Bernd R. Noack; Gang Hu; Shugao Liu; Yuchen Xu 005; Huanhui Cao (IEEE Trans. Artif. Intell., 2024)

Safe Reinforcement Learning-Based Motion Planning for Functional Mobile Robots Suffering Uncontrollable Mobile Robots. - Huanhui Cao; Hao Xiong 004; Weifeng Zeng; Hantao Jiang; Zhiyuan Cai; Liang Hu 002; Lin Zhang 060; Wenjie Lu (IEEE Trans. Intell. Transp. Syst., 2024)