Weiguang Ma

Xi'an Jiaotong University, Donghua University

Papers

Total Citations

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About

Weiguang Ma is a leading researcher in intelligent rehabilitation robotics and adaptive control systems, with a focus on lower limb exoskeleton technologies. His most-cited work, "Design on intelligent perception system for lower limb rehabilitation exoskeleton robot" (2016, 28 citations), establishes a foundational framework for sensing human movement intent and providing real-time gait correction—critical for safe, effective robotic therapy. Ma further advances human-robot interaction through his 2017 study on adaptive unscented Kalman filtering (UKF) for compliant man-machine dynamic modeling, addressing the challenge of achieving seamless synchronization between patient and robot. In parallel, his 2022 work on data-driven prediction-control modeling for magnetorheological damping forces (10 citations) extends his expertise into intelligent structural control, with applications spanning automotive NVH and robotics. By integrating adaptive estimation, compliant dynamics, and smart damping, Ma’s research bridges the gap between rigid robotic systems and responsive, human-aware assistance. His contributions are pivotal for developing next-generation rehabilitation robots that are safer, more intuitive, and capable of personalized therapy, making him a key figure in the convergence of biomechatronics and intelligent control.