Zhenhong Li

Zhenhong Li is a Lecturer in Robotics and Control at the University of Manchester, where he leads the Neurorobotics Lab (NRL). His research focuses on developing innovative control technologies for multi-robot systems and human-robot systems with applications in industry and healthcare. His research interests include physical human-robot interaction for rehabilitation and industrial robots, as well as multimodal brain-computer interfaces for robot control and brain monitoring. He holds an EPSRC Fellowship on physical human-robot interaction and has authored and co-authored over 60 papers in peer-reviewed journals and conferences. He is an IEEE Senior Member and serves as an Associate Editor for IEEE Robotics and Automation Letters. His work contributes to the Sustainable Development Goals related to health, energy, and infrastructure.

Zhenhong Li is a Lecturer in Robotics and Control at the University of Manchester, specializing in Rehabilitation robot, Multi-agent systems, and Distributed optimization. Their research focuses on developing advanced control strategies for multi-agent systems, including bearing-only formation tracking and distributed optimal coordination. Li also explores applications in rehabilitation robotics, such as EMG-driven musculoskeletal modeling and adaptive control for exoskeletons. Additionally, they investigate distributed optimization techniques for energy management and cooperative guidance in multi-UAV systems. Their work integrates physics-informed deep learning and real-time robotic manipulation for agriculture, emphasizing scalable and robust control solutions.