Max Robotics — Global Service Robot Directory + US Certification

About

Kewen Zhang is a robotics researcher whose work spans autonomous exploration, multi-robot coordination, and rehabilitation robotics. His key contributions include developing an adaptive composite observer for finite-time task-space control of robots, enabling precise manipulation despite kinematic and dynamic uncertainties—a paper that has garnered 8 citations since 2023. Zhang also advanced autonomous exploration with a region-biased sampling method using wave-features-based RRT, reducing storage consumption while accelerating frontier search in unknown environments (6 citations). In healthcare robotics, he pioneered complete gait phase recognition using muscle synergy analysis and a PSO-CNN-LSTM algorithm, achieving accurate seven-phase classification for walking rehabilitation. His work on homogeneous weighted motion planning for cooperative manipulators under position-torque constraints addresses real-world industrial challenges, while the HG-CBS planner improves multi-robot path finding with heuristic group-based collision detection. Most recently, Zhang has focused on predicting paretic gait trajectories using sEMG signals with an ISSA-CNN-SVR model, supporting lower-limb rehabilitation for stroke patients. His research demonstrates a consistent commitment to bridging theoretical control methods with practical robotic systems, from autonomous navigation to human-robot interaction in clinical settings.