Papers
2
Total Citations
29
H-Index
2
About
Vincent Bonnet is a researcher specializing in biomechanics, robotics, and system identification, with a particular focus on the precise characterization of inertial parameters in both human bodies and humanoid robotic systems. His work bridges the fields of human movement science and robotic engineering, addressing the fundamental challenge of accurately modeling the physical properties that govern dynamic motion. Bonnet's most influential contribution, a 2017 paper garnering 24 citations, introduced a novel sensitivity analysis method for body segment inertial parameters, leveraging ground reaction and joint moment regressor matrices. This work provides researchers and clinicians with improved tools for understanding how uncertainties in body segment properties propagate through biomechanical analyses — a critical concern in gait analysis, rehabilitation, and sports science. His subsequent 2018 research extended these methodologies into humanoid robotics, developing self-generating optimal exciting motions to identify robot inertial parameters, directly addressing inaccuracies that arise when robots are modified beyond their original CAD specifications. By advancing identification methods applicable to both biological and artificial systems, Bonnet has contributed meaningfully to model-based control, realistic simulation, and motion planning, making his work valuable to researchers across biomechanics, rehabilitation engineering, and autonomous robotics.
Research Focus
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Top Papers
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