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About

Meng-Qiang Tian is a leading researcher at the intersection of rehabilitation robotics and orthopedic surgery, with key contributions in pneumatic artificial muscle (PAM) actuation and robotic-assisted total knee arthroplasty (TKA). His work addresses critical challenges in both wearable exoskeletons and surgical precision. Tian’s most cited paper (2024, 27 citations) introduces an active neural network control system for a PAM-driven upper limb rehabilitation exoskeleton, tackling the complex modeling and control issues inherent in flexible actuators—a breakthrough for safe, adaptive rehabilitation devices. In parallel, his prospective randomized controlled trials (2025, 6 and 5 citations) demonstrate that the EPMEDBOT and a novel knee arthroplasty robot system achieve superior radiological outcomes, including dynamic gap balance and alignment monitoring, while maintaining equal clinical function to conventional TKA. These studies highlight Tian’s ability to bridge engineering innovation with clinical validation, offering tangible benefits for patient recovery and surgical accuracy. His work is pivotal for advancing both assistive robotics and precision orthopedics, making him a notable figure in medical robotics research.