Xiaoliang Li

Papers

Total Citations

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About

Xiaoliang Li’s research bridges robotics, rehabilitation engineering, and sensor integration, with a focus on enhancing autonomous navigation and medical assistive devices. In his 2013 work on robot navigation and map building, Li proposed a novel fusion of electronic compass and vision-based camera systems to determine azimuth angles, enabling more precise path planning for autonomous robots. This contribution, while early in its citation impact (3 citations), laid groundwork for multi-sensor navigation strategies. Li also advanced rehabilitation robotics through his design and analysis of a 3-UPU spatial parallel mechanism for hip joint rehabilitation. This mechanism, featuring three rotational degrees of freedom with intersecting axes, addressed the then-nascent field of hip medical rehabilitation robots. Although the work has garnered 2 citations to date, it represents an important step toward compact, adaptable exoskeleton systems. Li’s dual focus on sensor-driven navigation and biomechanical mechanism design highlights his commitment to practical, interdisciplinary solutions—from guiding robots through complex environments to restoring human mobility. His research continues to inspire innovations in assistive technology and autonomous systems.