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pro vyhledávání: '"Ménager, Etienne"'
Autor:
Ménager, Etienne, Duriez, Christian
Publikováno v:
IEEE International Conference on Soft Robotics (RoboSoft), IEEE, Apr 2024, San Diego (CA), United States
The ability of a soft robot to perform specific tasks is determined by its contact configuration, and transitioning between configurations is often necessary to reach a desired position or manipulate an object. Based on this observation, we propose a
Externí odkaz:
http://arxiv.org/abs/2402.13649
Soft robots are naturally designed to perform safe interactions with their environment, like locomotion and manipulation. In the literature, there are now many concepts, often bio-inspired, to propose new modes of locomotion or grasping. However, a m
Externí odkaz:
http://arxiv.org/abs/2310.17029
Publikováno v:
2023 IEEE International Conference on Robotics and Automation (ICRA)
The Finite Element Method (FEM) is a powerful modeling tool for predicting the behavior of soft robots. However, its use for control can be difficult for non-specialists of numerical computation: it requires an optimization of the computation to make
Externí odkaz:
http://arxiv.org/abs/2307.11408
Autor:
Wang, Yichang, Emonet, Rémi, Fromont, Elisa, Malinowski, Simon, Menager, Etienne, Mosser, Loïc, Tavenard, Romain
Times series classification can be successfully tackled by jointly learning a shapelet-based representation of the series in the dataset and classifying the series according to this representation. However, although the learned shapelets are discrimi
Externí odkaz:
http://arxiv.org/abs/1906.00917
Akademický článek
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Autor:
Schegg, Pierre, Ménager, Etienne, Khairallah, Elie, Marchal, Damien, Dequidt, Jérémie, Preux, Philippe, Duriez, Christian
Publikováno v:
Soft Robotics; Apr2023, Vol. 10 Issue 2, p410-430, 21p
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0b6845524c979789200226fdebbafd9
https://pubmed.ncbi.nlm.nih.gov/36476150
https://pubmed.ncbi.nlm.nih.gov/36476150