Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Solvi ARNOLD"'
Autor:
Yu Yamauchi, Yuichi Ambe, Hikaru Nagano, Masashi Konyo, Yoshiaki Bando, Eisuke Ito, Solvi Arnold, Kimitoshi Yamazaki, Katsutoshi Itoyama, Takayuki Okatani, Hiroshi G. Okuno, Satoshi Tadokoro
Publikováno v:
ROBOMECH Journal, Vol 9, Iss 1, Pp 1-13 (2022)
Abstract Continuum robots can enter narrow spaces and are useful for search and rescue missions in disaster sites. The exploration efficiency at disaster sites improves if the robots can simultaneously acquire several pieces of information. However,
Externí odkaz:
https://doaj.org/article/28882809c82b4b62a67b8a5c45bed2ed
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2023)
Cloth manipulation is common in both housework and manufacturing. However, robotic cloth manipulation remains challenging, especially for less controlled and open-goal settings. We consider the problem of open-goal planning for robotic cloth manipula
Externí odkaz:
https://doaj.org/article/5e6a6d61479340408aeaf5f7eaf1efe7
Autor:
Solvi Arnold
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2023)
Externí odkaz:
https://doaj.org/article/041d333da9a043249476bc7e54e49819
Autor:
Solvi Arnold, Kimitoshi Yamazaki
Publikováno v:
Frontiers in Neurorobotics, Vol 13 (2019)
We propose a deep neural network architecture, the Encode-Manipulate-Decode (EM*D) net, for rapid manipulation planning on deformable objects. We demonstrate its effectiveness on simulated cloth. The net consists of 3D convolutional encoder and decod
Externí odkaz:
https://doaj.org/article/d34f8db5eefd46dbbd661b7575374bcb
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 84, Iss 864, Pp 18-00069-18-00069 (2018)
In this paper, we describe a motion planning method for cloth manipulation. We address the problem that only the current shape of the cloth product and its target shape are given. To accomplish this task, it is necessary to determine how to manipulat
Externí odkaz:
https://doaj.org/article/f407b0504fea4081a9c58c543620ecea
Publikováno v:
Advanced Robotics. :1-14
Publikováno v:
IEEE Robotics and Automation Letters. 8:1455-1462
Publikováno v:
Journal of the Robotics Society of Japan. 40:817-826
Publikováno v:
2022 IEEE International Conference on Mechatronics and Automation (ICMA).
Publikováno v:
IEEE Robotics and Automation Letters. 6:3809-3816
We consider the problem of deformable object manipulation with variable goal states and mid-manipulation disruptions. We propose an approach that integrates online shape estimation, prediction of shape transitions, and mid-manipulation trajectory cor