Man Li
Orcid: 0000-0002-9776-1628Affiliations:
- University of Science and Technology of China, Hefei, China
According to our database1,
Man Li
authored at least 19 papers
between 2019 and 2025.
Collaborative distances:
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Bibliography
2025
IDSI-SO: A Multiagent Safe Reinforcement Learning Navigation Based on Threat Assessment in Complex Dynamic Environments.
IEEE Trans. Ind. Electron., April, 2025
IEEE Trans. Autom. Control., February, 2025
Approximate optimal trajectory tracking and dynamic obstacle avoidance for affine system via online learning.
J. Frankl. Inst., 2025
2024
Differential Game-Based Control for Nonlinear Human-Robot Interaction System With Unknown Desired Trajectory.
IEEE Trans. Cybern., November, 2024
IEEE Trans. Cybern., October, 2024
SRL-ORCA: A Socially Aware Multi-Agent Mapless Navigation Algorithm in Complex Dynamic Scenes.
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.
Autom., January, 2024
Ensuring Safety in LLM-Driven Robotics: A Cross-Layer Sequence Supervision Mechanism.
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.
IEEE Trans. Neural Networks Learn. Syst., 2022
Bio-Inspired Dynamic Collective Choice in Large-Population Systems: A Robust Mean-Field Game Perspective.
IEEE Trans. Neural Networks Learn. Syst., 2022
Multiplayer Stackelberg-Nash Game for Nonlinear System via Value Iteration-Based Integral Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022
Model-free design of stochastic LQR controller from a primal-dual optimization perspective.
Autom., 2022
2021
Hierarchical Optimal Synchronization for Linear Systems via Reinforcement Learning: A Stackelberg-Nash Game Perspective.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Cybern., 2021
Model-Free Design of Stochastic LQR Controller from Reinforcement Learning and Primal-Dual Optimization Perspective.
CoRR, 2021
2020
Distributed time-varying group formation control for generic linear systems with observer-based protocols.
Neurocomputing, 2020
2019
Optimal Synchronization Control of Multiagent Systems With Input Saturation via Off-Policy Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019
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.
Proceedings of the 4th IEEE International Conference on Advanced Robotics and Mechatronics, 2019