Chunbiao Gan
Papers
8
Total Citations
43
H-Index
4
About
Chunbiao Gan is a leading researcher in the field of bipedal and humanoid robotics, with a primary focus on dynamic modeling, gait planning, and robust control under uncertainty. His work addresses fundamental challenges in achieving stable, flexible, and disturbance-resistant locomotion for underactuated bipedal systems. Gan’s major contributions include pioneering the analysis of biped robot performance under multi-source random disturbances, where his 2014 paper has garnered 11 citations, and developing input torque sensitivity methods for uncertain parameters (10 citations). He has also advanced gait transition strategies for 3D bipedal robots, a topic of significant recent interest, and proposed novel modification-based periodic gait planning for robots with two underactuated degrees of freedom. More recently, his research has expanded into adaptive feedback compensation control for continuous external disturbances and the application of conditional adversarial motion priors for versatile humanoid control, including straight-legged walking. With a growing body of work spanning from 2013 to 2025, Gan’s research is instrumental in bridging model-based and learning-based control paradigms, making him a key figure in the pursuit of agile, human-like robotic locomotion.
Research Focus
Key Achievements
Top Papers
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- 2Input torque sensitivity to uncertain parameters in biped robot10 citations · 2013
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