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Journal Articles Computer Methods in Biomechanics and Biomedical Engineering Year : 2023

Genetic algorithms for force polytopes prediction

Abstract

Knowledge of human’s force capacities enables the design of physical Human-Robot Interaction (pHRI) workspaces. As measuring force capacities for all postures is time consuming, predicting force capacities from a subset of measurements performed in a limited number of postures is crucial. The force capacities can be described as a convex polytope by means of a personalized musculoskeletal (MSK) model (Skuric et al. 2022). However, the tuning of a MSK model is difficult due to the high number of parameters. Thanks to its constraint-free nature on the optimization function, a genetic algorithm is implemented to find a MSK model parameter set, which fits and predicts force polytopes.
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hal-04396514 , version 1 (04-07-2023)
hal-04396514 , version 2 (16-01-2024)

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Gautier Laisné, Jean-Marc Salotti, Nasser Rezzoug. Genetic algorithms for force polytopes prediction. Computer Methods in Biomechanics and Biomedical Engineering, 2023, 26 (sup1), pp.218-220. ⟨10.1080/10255842.2023.2246304⟩. ⟨hal-04396514v2⟩
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