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pro vyhledávání: '"Pierre Schegg"'
Autor:
Pierre Schegg, Christian Duriez
Publikováno v:
PLoS ONE, Vol 17, Iss 1 (2022)
In this review paper, we are interested in the models and algorithms that allow generic simulation and control of a soft robot. First, we start with a quick overview of modeling approaches for soft robots and available methods for calculating the mec
Externí odkaz:
https://doaj.org/article/913e6cd517af4c7dba9b386edb461123
Autor:
Pierre Schegg, Etienne Ménager, Elie Khairallah, Damien Marchal, Jérémie Dequidt, Philippe Preux, Christian Duriez
Publikováno v:
Soft Robotics
Soft Robotics, In press
Soft Robotics, In press
International audience; 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 contr
Autor:
Pierre Schegg, Jeremie Dequidt, Eulalie Coevoet, Edouard Leurent, Remi Sabatier, Philippe Preux, Christian Duriez
Publikováno v:
Robosoft 2022-International Conference on Soft Robotics
Robosoft 2022-International Conference on Soft Robotics, Apr 2022, Edimbourg, United Kingdom
Robosoft 2022-International Conference on Soft Robotics, Apr 2022, Edimbourg, United Kingdom
International audience; Soft continuum robots, and comparable instruments allow to perform some surgical procedures noninvasively. While safer, less morbid and more cost-effective, these medical interventions increase the complexity for the practitio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca6e428cf46a49ce78b74e0b0f2db4e0
https://inria.hal.science/hal-03778352/document
https://inria.hal.science/hal-03778352/document