Papers
19
Total Citations
339
H-Index
9
About
Guang Li is a pioneering robotics researcher whose work spans silent speech interfaces, spherical robot control, and multi-manipulator motion planning. His most impactful contribution is the development of an all-weather, natural silent speech recognition system using machine-learning-assisted tattoo-like electronics (98 citations), offering a transformative communication tool for individuals with aphasia and enabling robust human-machine interaction under diverse environmental conditions. In spherical robotics, Li has made foundational advances in path planning and control, including an improved hybrid A* method for pendulum-driven spherical robots (39 citations) and a hierarchical terminal sliding mode controller for direction and trajectory tracking (37 citations). His multi-terrain velocity control framework (33 citations) addresses the challenge of unknown terrain dynamics, while his recent work on cooperative dynamic motion planning for dual manipulator arms using the RRT*Smart-AD algorithm (22 citations) advances intelligent manufacturing. Li’s research is characterized by a focus on real-world deployment, as evidenced by his robust reference path selection method (18 citations) and adaptive MPC-based trajectory tracking framework (8 citations). His contributions have been recognized for their potential in harsh environment exploration, and his work continues to shape the future of autonomous systems and assistive technology.
Research Focus
Key Achievements
Top Papers
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- 5Fuzzy PID Controller Based on Yaw Angle Prediction of a Spherical Robot24 citations · 2021
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- 7A Robust Reference Path Selection Method for Path Planning Algorithm18 citations · 2022
- 8Spherical robot: A novel robot for exploration in harsh unknown environments14 citations · 2023
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