Papers
56
Total Citations
657
H-Index
15
About
Chengxu Zhou is a robotics researcher whose work sits at the intersection of humanoid locomotion, balance control, and robotic manipulation. His research has made significant contributions to the field of bipedal walking, with a particular focus on developing robust, real-time control strategies that enable humanoid robots to navigate dynamic and complex environments. His 2015 paper on dynamic and reactive walking, which introduced foot placement control grounded in the Linear Inverted Pendulum Model, has garnered 56 citations and remains a foundational reference for online gait replanning. Alongside this, his work on compliance control and passivity-based stabilization has shaped how humanoid robots adapt to changing terrain, including sloped surfaces. Zhou's energy-based fall prediction framework (35 citations) offers a principled, quantitative approach to balance monitoring, bridging theory and experimental validation. He has also advanced perception-driven locomotion through vision-based foothold reasoning and footstep planning on rough terrain using curved contact patches. Beyond locomotion, his HERI II robotic hand demonstrates versatility in manipulation design. Collectively, his body of work, accumulating over 300 citations, reflects a sustained and impactful effort to make legged robots more capable, adaptive, and safe in real-world conditions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Stabilization of bipedal walking based on compliance control42 citations · 2015
- 3Overview of Gait Synthesis for the Humanoid COMAN42 citations · 2016
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- 8Vision-based foothold contact reasoning using curved surface patches22 citations · 2017
- 9
- 10A passivity based compliance stabilizer for humanoid robots18 citations · 2014