Papers
132
Total Citations
1,368
H-Index
19
About
Xuechao Chen is a prominent robotics researcher whose work centers on humanoid and biped robot locomotion, balance control, and adaptive motion planning. With a body of research spanning nearly a decade, Chen has made substantial contributions to the field of legged robotics, particularly in developing biologically inspired control strategies that enable robots to navigate complex real-world environments. Chen's most influential work focuses on compliance and stability control for bipedal systems, addressing critical challenges such as disturbance rejection, uneven terrain traversal, and human-like gait generation. His 2022 paper on resistant compliance control (53 citations) introduced a novel framework mimicking human resistive behavior under sustained disturbances, while his bioinspired walking controller (50 citations) uniquely integrated toe-off, heel-strike, and disturbance rejection simultaneously. His contributions extend to omnidirectional inclined walking, viscoelastic contact force control, and highly dynamic movements such as humanoid vertical jumping. Beyond bipedal locomotion, Chen has explored wheel-legged hybrid robots and space manipulator impedance control, demonstrating remarkable breadth. His research consistently bridges biomechanics and engineering, translating human movement principles into robust robotic implementations. Collectively accumulating over 400 citations, Chen's work represents a meaningful and growing influence on the advancement of agile, adaptive humanoid robotics.
Research Focus
Key Achievements
Top Papers
- 1Resistant Compliance Control for Biped Robot Inspired by Humanlike Behavior53 citations · 2022
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- 5Gait Planning of Omnidirectional Walk on Inclined Ground for Biped Robots41 citations · 2015
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- 9Compliant Motion Control of Wheel-Legged Humanoid Robot on Rough Terrains27 citations · 2023
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