Papers
19
Total Citations
358
H-Index
8
About
Bastien Berret is a prominent researcher at the intersection of computational neuroscience, human motor control, and robotics, with particular expertise in optimal control theory, muscle synergies, and human-robot interaction. His work addresses fundamental questions about how the central nervous system plans and executes movement, and how these principles can be translated into intelligent robotic systems. Berret's most influential contribution — a 2013 review on muscle synergies (166 citations) — synthesized research across neuroscience and control engineering, advancing the understanding of how the brain may simplify complex motor commands through modular coordination strategies. Complementing this, his theoretical work on optimality and modularity in human movement bridges optimal control frameworks with biological motor organization, offering unified models of human motion. His research on robotic exoskeletons has been equally impactful, exploring transparency in human-robot collaboration, the vigor of volitional movements under time-effort trade-offs, and how humans adapt motor patterns to altered gravitational conditions — findings with direct implications for rehabilitation and space medicine. His earlier contributions to stochastic optimal control and variable impedance actuation further demonstrate his commitment to biologically inspired robotics. Across his career, Berret has established himself as a rigorous and creative thinker whose work meaningfully connects biological motor intelligence with next-generation assistive technologies.
Research Focus
Key Achievements
Top Papers
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- 4From Humans to Humanoids: the Optimal Control Framework21 citations · 2012
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- 7Efficient computation of optimal open-loop controls for stochastic systems16 citations · 2020
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