Papers
4
Total Citations
206
H-Index
4
About
Cyrille Collette is a leading researcher in humanoid robotics, specializing in bipedal locomotion, dynamic balance control, and whole-body motion planning. His most influential work centers on developing robust walking algorithms and stability frameworks for humanoid robots, with a particular focus on the NAO platform. Collette’s 2010 paper on omnidirectional closed-loop walking for NAO (95 citations) introduced a landmark algorithm that enabled stable, adaptive locomotion, becoming a foundational reference in the field. He further advanced humanoid control through his 2007 and 2008 studies on dynamic balance with multiple non-coplanar frictional contacts (51 and 41 citations, respectively), proposing a general posture control framework that allows robots to maintain stability while grasping objects or interacting with uneven environments. These contributions have been widely cited for their practical impact on real-world humanoid deployment. Collette also explored model predictive control for tilt recovery in wheeled humanoid robots (2015, 19 citations), demonstrating his versatility in addressing balance challenges across different robot morphologies. His work has directly influenced the development of more agile, stable humanoid systems for industrial and service applications.
Research Focus
Key Achievements
Top Papers
- 1Omni-directional closed-loop walk for NAO95 citations · 2010
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