SofaGym: An Open Platform for Reinforcement Learning Based on Soft Robot Simulations.

Finite Element Method Monte Carlo Tree Search OpenAI Gym Reinforcement Learning SOFA imitation learning

Journal

Soft robotics
ISSN: 2169-5180
Titre abrégé: Soft Robot
Pays: United States
ID NLM: 101623819

Informations de publication

Date de publication:
Apr 2023
Historique:
medline: 9 12 2022
pubmed: 9 12 2022
entrez: 8 12 2022
Statut: ppublish

Résumé

OpenAI Gym is one of the standard interfaces used to train Reinforcement Learning (RL) Algorithms. The Simulation Open Framework Architecture (SOFA) is a physics-based engine that is used for soft robotics simulation and control based on real-time models of deformation. The aim of this article is to present

Identifiants

pubmed: 36476150
doi: 10.1089/soro.2021.0123
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

410-430

Auteurs

Pierre Schegg (P)

Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL, Univ. Lille, Lille, France.
Robocath, Rouen, France.

Etienne Ménager (E)

Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL, Univ. Lille, Lille, France.

Elie Khairallah (E)

Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL, Univ. Lille, Lille, France.

Damien Marchal (D)

Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL, Univ. Lille, Lille, France.

Jérémie Dequidt (J)

Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL, Univ. Lille, Lille, France.

Philippe Preux (P)

Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL, Univ. Lille, Lille, France.

Christian Duriez (C)

Inria, CNRS, Centrale Lille, UMR 9189 CRIStAL, Univ. Lille, Lille, France.

Classifications MeSH