Papers
14
Total Citations
81
H-Index
5
About
Shigang Li is a researcher whose work spans two distinct but equally compelling domains: autonomous mobile robotics and wearable assistive technologies. Beginning in the mid-1990s, Li made foundational contributions to outdoor robot navigation, developing innovative methods for route representation using panoramic views, landmark extraction, and GPS integration. His early work on qualitative route description and iconic-GPS fusion addressed the fundamental challenge of large-scale outdoor localization, culminating in sophisticated systems capable of constructing 2D environmental maps and planning movements under uncertainty — research that collectively attracted dozens of citations and helped shape the field of vision-guided mobile robotics. In the 2010s, Li pivoted toward human-centered robotics, focusing on wearable power-assist exoskeletons. His most-cited work introduced a pneumatic arm assist system leveraging EMG-based muscle activity detection, garnering 17 citations, while subsequent research explored water-hydraulic artificial muscles and mechanomyogram-based torque estimation for elbow joint assistance. These contributions address critical challenges in safe, responsive, and biomechanically informed assistive device design. Across more than two decades, Li's research demonstrates a consistent commitment to bridging sensing, control, and real-world applicability — making him a notable contributor to both intelligent robotics and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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- 4Qualitative representation of outdoor environment along route7 citations · 1996
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- 6Making 2D Map of Environments Based upon Routes Scenes5 citations · 2000
- 7NAVIGATION BY INTEGRATING ICONIC AND GPS INFORMATION5 citations · 1998
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- 9Route description by 3D objects in panoramic representation3 citations · 1994
- 10A navigation system based upon panoramic representation3 citations · 2002