Papers
9
Total Citations
226
H-Index
7
About
Yuankai Li is a leading researcher in the field of wheeled mobile robotics, with a particular focus on locomotion over deformable and sloped terrain. His most significant contribution is the introduction and formalization of the Variable Resistance Coefficient (RC) for wheeled mobile robots on deformable terrain, a concept that has garnered 81 citations and provides a critical framework for designing wheel-driving mechanisms and accurate dynamic models. Li’s work extends to adaptive torque estimation for robot joints with harmonic drives (43 citations) and multi-mode real-time terrain parameter estimation (33 citations), both essential for robust motion control in unstructured environments. He has also advanced path planning for multi-robot systems, notably through a Boltzmann Policy-based Q-learning algorithm (23 citations) and adaptive reinforcement learning with pheromone mechanisms (8 citations). His research on three-layer intelligence—robint, virtint, and humint—for planetary exploration robots (17 citations) showcases his visionary approach to autonomous systems. With over 226 total citations across his top papers, Li’s contributions are foundational for engineers and researchers developing mobile robots for agriculture, planetary exploration, and hazardous environments.
Research Focus
Key Achievements
Top Papers
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- 2Adaptive torque estimation of robot joint with harmonic drive transmission43 citations · 2017
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- 9TRACKING CONTROL OF NONHOLONOMIC WHEELED MOBILE ROBOTS ON SLOPES4 citations · 2018