Man Li

According to our database, Man Li authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

IDSI-SO: A Multiagent Safe Reinforcement Learning Navigation Based on Threat Assessment in Complex Dynamic Environments.

Jianmin Qin, Jiahu Qin, Jiaxin Qiu, Qichao Ma, Qingchen Liu, Man Li

IEEE Trans. Ind. Electron., April, 2025

Master-Slave Safe Cooperative Tracking via Game and Learning-Based Shared Control.

Man Li, Jiahu Qin, Qichao Ma, Yang Shi, Wei Xing Zheng

IEEE Trans. Autom. Control., February, 2025

2024

Differential Game-Based Control for Nonlinear Human-Robot Interaction System With Unknown Desired Trajectory.

Kang Tong, Man Li, Jiahu Qin, Qichao Ma, Jie Zhang, Qingchen Liu

IEEE Trans. Cybern., November, 2024

Game-Based Approximate Optimal Motion Planning for Safe Human-Swarm Interaction.

Man Li, Jiahu Qin, Jiacheng Li, Qingchen Liu, Yang Shi, Yu Kang

IEEE Trans. Cybern., October, 2024

SRL-ORCA: A Socially Aware Multi-Agent Mapless Navigation Algorithm in Complex Dynamic Scenes.

Jianmin Qin, Jiahu Qin, Jiaxin Qiu, Qingchen Liu, Man Li, Qichao Ma

IEEE Robotics Autom. Lett., January, 2024

Towards invariant extended Kalman filter-based resilient distributed state estimation for moving robots over mobile sensor networks under deception attacks.

Cong Zhang, Jiahu Qin, Chengzhen Yan, Yang Shi, Yaonan Wang, Man Li

Autom., January, 2024

Ensuring Safety in LLM-Driven Robotics: A Cross-Layer Sequence Supervision Mechanism.

Ziming Wang, Qingchen Liu, Jiahu Qin, Man Li

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2022

Model-Free Reinforcement Learning for Fully Cooperative Consensus Problem of Nonlinear Multiagent Systems.

Hong Wang, Man Li

IEEE Trans. Neural Networks Learn. Syst., 2022

Bio-Inspired Dynamic Collective Choice in Large-Population Systems: A Robust Mean-Field Game Perspective.

Man Li, Jiahu Qin, Yaonan Wang, Yu Kang

IEEE Trans. Neural Networks Learn. Syst., 2022

Multiplayer Stackelberg-Nash Game for Nonlinear System via Value Iteration-Based Integral Reinforcement Learning.

Man Li, Jiahu Qin, Nikolaos M. Freris, Daniel W. C. Ho

IEEE Trans. Neural Networks Learn. Syst., 2022

Model-free design of stochastic LQR controller from a primal-dual optimization perspective.

Man Li, Jiahu Qin, Wei Xing Zheng, Yaonan Wang, Yu Kang

Autom., 2022

2021

Hierarchical Optimal Synchronization for Linear Systems via Reinforcement Learning: A Stackelberg-Nash Game Perspective.

Man Li, Jiahu Qin, Qichao Ma, Wei Xing Zheng, Yu Kang

IEEE Trans. Neural Networks Learn. Syst., 2021

Semiglobal Cluster Consensus for Heterogeneous Systems With Input Saturation.

Lu Ren, Man Li, Changyin Sun

IEEE Trans. Cybern., 2021

Model-Free Design of Stochastic LQR Controller from Reinforcement Learning and Primal-Dual Optimization Perspective.

Man Li, Jiahu Qin, Wei Xing Zheng, Yaonan Wang, Yu Kang

CoRR, 2021

2020

Distributed time-varying group formation control for generic linear systems with observer-based protocols.

Man Li, Qichao Ma, Chongjian Zhou, Jiahu Qin, Yu Kang

Neurocomputing, 2020

2019

Optimal Synchronization Control of Multiagent Systems With Input Saturation via Off-Policy Reinforcement Learning.

Jiahu Qin, Man Li, Yang Shi, Qichao Ma, Wei Xing Zheng

IEEE Trans. Neural Networks Learn. Syst., 2019

Two-Player Stackelberg Game for Linear System via Value Iteration Algorithm.

Man Li, Jiahu Qin, Lei Ding

Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

Observer-Based Distributed Time-Varying Group Formation Control for Heterogeneous Linear Systems under Directed Topology.

Chongjian Zhou, Man Li, Weiming Fu, Yu Kang, Jiahu Qin

Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019