Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Clément Rolinat"'
Publikováno v:
International Journal of Intelligent Robotics and Applications
International Journal of Intelligent Robotics and Applications, 2023, 7 (1), pp.31-47. ⟨10.1007/s41315-022-00265-9⟩
International Journal of Intelligent Robotics and Applications, 2023, 7 (1), pp.31-47. ⟨10.1007/s41315-022-00265-9⟩
International audience; Grasp planning and most specifically the grasp space exploration when considering adaptive and underactuated multifingered grippers is still an open issue in robotics. This article describes an efficient procedure for explorin
Publikováno v:
ICRA 2021-International Conference on Robotics and Automation
ICRA 2021-International Conference on Robotics and Automation, May 2021, Xi'an, China. pp.2598-2604, ⟨10.1109/ICRA48506.2021.9561765⟩
ICRA
ICRA 2021-International Conference on Robotics and Automation, May 2021, Xi'an, China. pp.2598-2604, ⟨10.1109/ICRA48506.2021.9561765⟩
ICRA
Grasp planning and most specifically the grasp space exploration is still an open issue in robotics. This article presents an efficient procedure for exploring the grasp space of a multifingered adaptive gripper for generating reliable grasps given a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e91f24f968e78bea1f8521f295e2d1e
http://arxiv.org/abs/2109.09572
http://arxiv.org/abs/2109.09572
Publikováno v:
IFAC-Papers
IFAC-PapersOnLine, 2021, 19th IFAC Symposium on System Identification SYSID 2021, 54 (7), pp.523-528. ⟨10.1016/j.ifacol.2021.08.413⟩
IFAC-PapersOnLine, Elsevier, 2021, 19th IFAC Symposium on System Identification SYSID 2021, 54 (7), pp.523-528. ⟨10.1016/j.ifacol.2021.08.413⟩
IFAC-PapersOnLine, 2021, 19th IFAC Symposium on System Identification SYSID 2021, 54 (7), pp.523-528. ⟨10.1016/j.ifacol.2021.08.413⟩
IFAC-PapersOnLine, Elsevier, 2021, 19th IFAC Symposium on System Identification SYSID 2021, 54 (7), pp.523-528. ⟨10.1016/j.ifacol.2021.08.413⟩
Grasp planning and most specifically the grasp space exploration is still an open issue in robotics. This article presents a data-driven oriented methodology to model the grasp space of a multi-fingered adaptive gripper for known objects. This method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0d8f521f5a4282d635ea2caaad38607
https://cea.hal.science/cea-03347668/document
https://cea.hal.science/cea-03347668/document