Xianlin Shi

Guangxi University of Science and Technology

Papers

Total Citations

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About

Xianlin Shi is a robotics researcher whose work bridges the frontiers of autonomous locomotion and human-robot interaction. His primary research areas include gait trajectory planning for wall-climbing robots and the development of rehabilitation robotics, where he focuses on force acquisition and adaptive control strategies. Shi’s most notable contribution is the introduction of an improved Particle Swarm Optimization (PSO) algorithm for gait planning, enabling wall-climbing robots to navigate complex vertical surfaces with enhanced stability and efficiency—a paper that has garnered 11 citations since its 2024 publication. In parallel, his research on interactive force acquisition and active–passive mode determination for rehabilitation robots (7 citations, 2023) has advanced the design of safer, more responsive therapeutic devices that can intuitively adapt to a patient’s movements. By integrating optimization algorithms with real-time force sensing, Shi’s work directly addresses critical challenges in both industrial inspection and medical rehabilitation. His publications, though recent, are already shaping discussions in autonomous robotics and assistive technology, marking him as an emerging innovator in the field.