Huanzhong Chen
Papers
8
Total Citations
141
H-Index
6
About
Huanzhong Chen is a leading researcher in bipedal and humanoid robotics, specializing in high-dynamic locomotion, disturbance rejection, and adaptive control. His work bridges the gap between simplified models and full-body dynamics, enabling robots to walk, run, and recover balance in complex, real-world environments. Chen’s most influential paper, "Resistant Compliance Control for Biped Robot Inspired by Humanlike Behavior" (53 citations), introduces a novel approach that mimics human resistance to sustained disturbances—a critical advancement over traditional compliance control, which often fails under persistent pushes. His follow-up work, "Adaptability Control Towards Complex Ground Based on Fuzzy Logic for Humanoid Robots" (49 citations), tackles the challenge of uncertain center-of-mass height and variable stiffness, providing robust stability on uneven terrain. Chen also developed a unified control framework for high-dynamic motions and pioneered the use of control moment gyroscopes for disturbance rejection during walking and running. With over 140 total citations, his research is foundational for creating agile, resilient humanoid robots capable of operating alongside humans. His recent work on reactive bipedal balance and virtual-model-based compliance continues to push the boundaries of autonomous locomotion.
Research Focus
Key Achievements
Top Papers
- 1Resistant Compliance Control for Biped Robot Inspired by Humanlike Behavior53 citations · 2022
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- 4A Unified Control Framework for High-Dynamic Motions of Biped Robots9 citations · 2021
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- 6A Swing-foot Trajectory Generation Method For Biped Walking7 citations · 2021
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