Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kazuki Higashi"'
Autor:
Kazuki Higashi, Keisuke Koyama, Fanny Ficuciello, Ryuta Ozawa, Takuya Kiyokawa, Weiwei Wan, Kensuke Harada
Publikováno v:
IEEE Access, Vol 12, Pp 164966-164978 (2024)
Synergy hands absorb the complexity of control and mechanisms inherent in multi-fingered hands, enabling human-like grasping with simple mechanisms and low-dimensional control. However, they struggle with functional object grasping and dexterous mani
Externí odkaz:
https://doaj.org/article/1c5f141a4fa64f66b77233db27c07d16
Autor:
Kazuki Higashi, Keisuke Koyama, Ryuta Ozawa, Kazuyuki Nagata, Takuya Kiyokawa, Weiwei Wan, Kensuke Harada
Publikováno v:
IEEE Access, Vol 11, Pp 129258-129268 (2023)
Soft multi-fingered robotic hands are safe in human environments and can perform human-like behaviors. However, structural complexities and nonlinearities in soft actuators complicate torque sensing, a critical function for dexterous object manipulat
Externí odkaz:
https://doaj.org/article/ab6f6b25e0db45eb98fd82d06fbc1a8c
Publikováno v:
Journal of the Robotics Society of Japan. 40:503-506
Autor:
Kazuki Higashi, Keisuke Koyama, Ryuta Ozawa, Kazuyuki Nagata, Weiwei Wan, Takuya Kiyokawa, Kensuke Harada
Publikováno v:
Journal of the Robotics Society of Japan. 40:635-638
Publikováno v:
Transactions of the Institute of Systems, Control and Information Engineers. 32:218-226
Publikováno v:
IROS
Synergy supplies a practical approach for expressing various postures of a multi-fingered hand. However, a conventional synergy defined for reproducing grasping postures cannot perform general-purpose tasks expected for a multi-fingered hand. Locking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f440d3bf00ec71f8b42429868476e96b
http://arxiv.org/abs/2003.11699
http://arxiv.org/abs/2003.11699
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2021:2P3-C12
Acquisition of synergy for low-dimensional control of multi-fingered hands by reinforcement learning
Autor:
Kazuki Higashi, Tomohiro Motoda, Yusuke Nishimura, Akiyoshi Hara, Takamasa Hamamoto, Kensuke Harada
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2021:1P1-I16
Publikováno v:
Acoustical Science and Technology. 36:419-427
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2018:1P2-H15