Papers
13
Total Citations
128
H-Index
7
About
Bruno Watier is a leading researcher in human locomotion, motor control, and humanoid robotics, whose work bridges the gap between understanding the biomechanics of highly dynamic human movement and applying that knowledge to improve robot autonomy. His most impactful contributions center on the coordination of complex, agile motions—such as precision jumps in parkour—where he extended the Uncontrolled Manifold approach to demonstrate how the central nervous system leverages motor abundance for flexibility and robustness (29 citations). Watier has also pioneered the development of human trajectory prediction models using inverse optimal control, enabling humanoid robots like TALOS to anticipate and fluidly collaborate with humans during co-navigation and co-manipulation tasks (27 citations). His recursive methods for estimating center of mass and angular momentum in legged systems are essential for both analyzing human gait and controlling bipedal robots. With over 120 total citations, Watier’s work is foundational for creating humanoids that move and interact with people in a natural, proactive manner, advancing the frontier of human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 6Inverse optimal control to model human trajectories during locomotion7 citations · 2021
- 7Elastic energy in locomotion: Spring-mass vs. poly-articulated models7 citations · 2016
- 8ICP Localization and Walking Experiments on a TALOS Humanoid Robot4 citations · 2021
- 9Should Mobile Robots Have a Head?3 citations · 2018
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