Meng Xu

Chinese PLA General Hospital, Harbin Institute of Technology, Isuzu Advanced Engineering Center (Japan)

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About

Dr. Meng Xu is a leading researcher in rehabilitation robotics and intelligent control systems, with a particular focus on human–robot interaction and autonomous vehicle technologies. His most influential work, "Flexible assistance strategy of lower limb rehabilitation exoskeleton based on admittance model" (2024), has already garnered 59 citations, demonstrating its immediate impact on the field. In this study, Dr. Xu developed an innovative admittance-based control strategy that enables rehabilitation exoskeletons to adaptively assist patients based on their real-time physical capabilities, significantly improving the safety and effectiveness of gait rehabilitation. Earlier in his career, Dr. Xu made notable contributions to semiconductor manufacturing automation through his work on wafer transfer robots, where he designed and experimentally validated an optimized end effector that enhanced transfer efficiency in IC fabrication. More recently, he has expanded into autonomous driving, co-authoring "RL-MPC: Reinforcement Learning Aided Model Predictive Controller for Autonomous Vehicle Lateral Control" (2024), which integrates reinforcement learning with nonlinear model predictive control for precise lateral vehicle control. Dr. Xu’s research bridges mechanical design, control theory, and machine learning, making him a versatile engineer whose work directly impacts both medical rehabilitation and industrial automation.