I am an Associate Professor and Ph.D. Supervisor at the College of Intelligence Science and Technology, National University of Defense Technology (国防科技大学), Changsha, China. I received my Ph.D. degree in Systems and Control from Politecnico di Milano, Italy, in 2018. I currently serve as an Editorial Board Member of Discover Vehicles and an Associate Editor for IEEE Robotics and Automation Letters and IEEE International Conference on Robotics and Automation (ICRA 2027).

My research interests include reinforcement learning, world models, Koopman operator theory, and learning-based predictive control, with applications in humanoid robots, autonomous systems, and soft robotics.

Open Positions: Our research group actively recruits Ph.D. and Master’s students, research interns, and visiting students, and welcomes applications from prospective postdoctoral researchers.

Recent News

• October, 10, 2026, I serve as an Associate Editor for IEEE Robotics and Automation Letters!
• September, 17, 2026, I serve as an Associate Editor for IEEE ICRA 2027!
• September, 2026, Our paper “Incremental reinforcement learning for safe optimal control of unknown nonlinear systems” is published at Automatica!
• September, 3, 2026, Our paper “Distributed Secure Learning Control for Large-scale Multirobots under Stealthy Actuator Attacks” is accepted to IEEE Transactions on Robotics!
• August, 4, 2026, Our paper “Latent MeanFlow Policy Optimization for Offline Reinforcement Learning(10.1109/TPAMI.2026.3720530)” is published at IEEE Transactions on Pattern Analysis and Machine Intelligence!
• June, 2026, Our paper “Reinforcement learning in linear embedding space unlocks generalizable control across soft robot configurations” is published at Nature Communications!
• January, 2026, Our paper “Adaptive Deep Koopman Operators for Soft Robot Control: Application to Luban Lock Disassembly” is published at IEEE Transactions on Industrial Electronics!
• January, 2026, Our paper “Distributed dynamic containment problem in discrete-time switching networks” is published at Automatica!
• September 20, 2025, Our paper “A Unified and Quality-Guaranteed Approach for Dubins Vehicle Path Planning With Obstacle Avoidance and Curvature Constraint” is published at IEEE Transactions on Intelligent Transportation Systems!
• September 10, 2025, Our paper “Multirate Distributed Receding Horizon Reinforcement Learning for Optimal UAV-UGV Formation Control” is published at IEEE Transactions on Artificial Intelligence!
• July 15, 2025, Our paper “Multi-Kernel Enhanced Receding-Horizon Reinforcement Learning for Steering Control of Intelligent Vehicles” is accepted at IEEE Transactions on Intelligent Transportation Systems!
• July 3, 2025, Our special issue “Embodied Intelligence for Adaptive and Lifelong Robotic Systems” in Frontiers in Robotics and AI is open for submissions!
• June 30, 2025, Our paper “Game-Theoretic Constrained Policy Optimization for Safe Reinforcement Learning” is accepted to IEEE Transactions on Neural Networks and Learning Systems!
• June 27, 2025, Our paper “Vector Field Augmented Reinforcement Learning for Adaptive Motion Planning of Mobile Robots” is accepted to IEEE/ASME Transactions on Mechatronics!
• June 18, 2025, Our paper “Receding-Horizon Multi-Kernel Reinforcement Learning for Motion Planning of Intelligent Vehicles” is published at IEEE Transactions on Industrial Electronics!
• June 16, 2025, Our three papers are accepted to the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)!
• April 7, 2025, I will serve as a guest editor for the Journal “Frontiers in Robotics and AI”!
• April 2, 2025, I serve as an editorial board member for the Journal “Springer Nature: Discover Vehicles”!
• March 17, 2025, Our paper “ Aggressive Maneuver for Unmanned Aerial Vehicle: A Data‐Informed Model Free Method” is published at International Journal of Robust and Nonlinear Control!
• January 20, 2025, Our paper “Toward Scalable Multirobot Control: Fast Policy Learning in Distributed MPC” is published at IEEE Transactions on Robotics!
• January 16, 2025, Our paper “Receding-Horizon Reinforcement Learning for Time-Delayed Human–Machine Shared Control of Intelligent Vehicles” is published at IEEE Transactions on Human-Machine Systems!
• November 17, 2024, Our paper “Offline-to-Online Learning Enabled Robust Control for Uncertain Robotic Systems Pursuing Constraint-Following” is published at IEEE Transactions on Industrial Electronics!
• I serve as a co-chair for the invited session “Multi-Platform Autonomous Cooperative Perception, Cognition and Decision-Making in Confrontational Environment ” with submission code P2VNPK at the 2024 7th IEEE International Conference on Unmanned Systems.
• I serve as a PC member at the 7th Asian Conference on Artificial Intelligence Technology.
• June 24, 2024, Our paper “Game-theoretic Receding-Horizon Reinforcement Learning for Lateral Control of Autonomous Vehicles” is published at IEEE Transactions on Vehicular Technology!
• February, 2024, Our paper “Learning-Based Near-Optimal Motion Planning for Intelligent Vehicles With Uncertain Dynamics” is published at IEEE Robotics and Automation Letters!
• January 4, 2024, Our paper “Model-Based Safe Reinforcement Learning With Time-Varying Constraints: Applications to Intelligent Vehicles” is published at IEEE Transactions on Industrial Electronics!
• August 12, 2023, Our paper “Self-learning Sliding Mode Control Based on Adaptive Dynamic Programming for Nonholonomic Mobile Robots” is published at ISA Transactions!
• January 29, 2023, Our paper “Receding Horizon Actor-Critic Learning Control for Nonlinear Time-Delay Systems with Unknown Dynamics” is accepted at IEEE Transactions on Systems, Man, and Cybernetics: Systems!
• January 11, 2023, Our paper “A Deep Koopman Approach for Longitudinal and Lateral Control of Autonomous Ground Vehicles” is accepted at ICRA 2023!
• November 14, 2022, Our paper “Robust consensus control of nonlinear multi-agent systems based on convergence rate estimation” is published at International Journal of Robust and Nonlinear Control!
• September 2, 2022, Our paper “A Dual-level Model Predictive Control Scheme for Multi-timescale Dynamical Systems” is accepted to IEEE Transactions on Systems, Man, and Cybernetics: Systems!
• July, 2022, Our paper “Data-driven Kalman Filter with Kernel-based Koopman Operators for Nonlinear Robot Systems” is accepted to IROS 2022!
• May, 2022, Our paper “Deep Neural Networks with Koopman Operators for Modeling and Control of Autonomous Vehicles” is accepted to IEEE Transactiosn on Intelligent Vehicles 2022!
• I serve as a PC member at the 6th Asian Conference on Artificial Intelligence Technology.
• March 30, 2022, Our paper “A Receding-Horizon Reinforcement Learning Approach for Kinodynamic Motion Planning of Autonomous Vehicles” is accepted to IEEE Transactiosn on Intelligent Vehicles 2022!
• February 1, 2022, Our paper “Barrier Function-based Safe Reinforcement Learning for Formation Control of Mobile Robots” is accepted to ICRA 2022!
• January 12, 2022, Our paper “Robust Learning-based Predictive Control for Discrete-time Nonlinear Systems with Unknown Dynamics and State Constraints” is accepted to IEEE Transactions on Systems, Man, and Cybernetics: Systems!
• December 19, 2021, Our preprint “Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles” is uploaded at TechRxiv and arXiv!
• I will serve as a session chair on the topic “AI, Intelligent Control for Autonomous Robots” at IEEE ARM 2022, the submission code of our session is 4999h!!!
• November 30, 2021, Our paper “Continuous‐time receding‐horizon reinforcement learning and its application to path‐tracking control of autonomous ground vehicles” is published at Optimal Control Applications and Methods!
• November 2, 2021, Our paper “基于滚动时域强化学习的智能车辆侧向控制算法 (doi:10.16383/j.aas.c210555)” is accepted to 自动化学报 (Acta Automatica Sinica)!
• October 25, 2021, Our paper “Robust Tube-based Model Predictive Control with Koopman Operators” is accepted to Automatica!
• September 29, 2021, Our paper “Dual heuristic programming with just‐in‐time modeling for self‐learning fault‐tolerant control of mobile robots” is published at Optimal Control Applications and Methods!