Xiaolong Chen
Papers
6
Total Citations
160
H-Index
5
About
Xiaolong Chen is a leading researcher in the field of advanced robotics control, with a primary focus on adaptive robust control for complex mechanical systems. His work addresses the critical challenge of managing uncertainties—such as modeling errors, friction, and external disturbances—in nonlinear and underactuated robots. Chen’s major contributions include developing novel constraint-following control frameworks that ensure precise, stable operation even under unpredictable conditions. He has pioneered the application of the Moore-Penrose generalized inverse for underactuated mechanical systems, enabling robust performance in rehabilitation robots, mobile robots, and unmanned bicycles. His most cited paper, "Adaptive robust control for a lower limbs rehabilitation robot running under passive training mode" (2019, 43 citations), exemplifies his impact, while his work on cooperative double-wheel inverted pendulum robots (37 citations) showcases his innovative approach to multi-robot coordination. With over 160 total citations across his top papers, Chen’s research is essential reading for engineers developing safe, reliable, and adaptive robotic systems for healthcare, transportation, and autonomous navigation.
Research Focus
Key Achievements
Top Papers
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- 2A novel adaptive robust control approach for underactuated mobile robot41 citations · 2019
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