Zobrazeno 1 - 10
of 34
pro vyhledávání: '"YUYA KOGA"'
Autor:
Yusuke Omura, Kento Kawaharazuka, Yuya Nagamatsu, Yuya Koga, Manabu Nishiura, Yasunori Toshimitsu, Yuki Asano, Kei Okada, Koji Kawasaki, Masayuki Inaba
Publikováno v:
ROBOMECH Journal, Vol 9, Iss 1, Pp 1-15 (2022)
Abstract Human-like environment recognition by musculoskeletal humanoids is important for task realization in real complex environments and for use as dummies for test subjects. Humans integrate various sensory information to perceive their surroundi
Externí odkaz:
https://doaj.org/article/4006851442874f1ab46c9254c09792de
Autor:
Yuya Koga, Shahrokh M. Saudagaran
Publikováno v:
Journal of International Accounting Research. 21:101-123
This study examines how Japanese banks evaluate off-balance sheet operating leases in their credit assessments. Using a sample of 6,985 firm-year observations in Japan over the period 2001 to 2017, we find that banks in Japan evaluate off-balance she
Autor:
Yuki Asano, Kento Kawaharazuka, Yuya Nagamatsu, Yuya Koga, Yusuke Omura, Tasuku Makabe, Ayaka Fujii, Shinsuke Nakashima, Koki Shinjo, Manabu Nishiura, Yasunori Toshimitsu, Motoki Tomita, Kei Okada, Tomoya Shimizu, Jun Kondo, Koji Kawasaki, Koji Toyoshima, Masayuki Inaba
Publikováno v:
Journal of the Robotics Society of Japan. 40:240-250
Autor:
Yuki Asano, Yusuke Omura, Koji Kawasaki, Kei Okada, Kento Kawaharazuka, Masayuki Inaba, Yuya Koga, Yasunori Toshimitsu, Manabu Nishiura
Publikováno v:
IEEE Robotics and Automation Letters. 6:6686-6692
We proposed a method for learning the actual body image of a musculoskeletal humanoid for posture generation and object manipulation using inverse kinematics with redundancy in the shoulder complex. The effectiveness of this method was confirmed by r
Autor:
Kento Kawaharazuka, Yuki Asano, Yasunori Toshimitsu, Yuya Koga, Manabu Nishiura, Masayuki Inaba, Yusuke Omura, Kei Okada, Koji Kawasaki
Publikováno v:
IEEE Robotics and Automation Letters. 6:1981-1988
For a robot with redundant sensors and actuators distributed throughout its body, it is difficult to construct a controller or a neural network using all of them due to computational cost and complexity. Therefore, it is effective to extract function
Autor:
JONGHOON KIM1 a141416z@r.hit-u.ac.jp, YUYA KOGA1 y.koga@mail.tohoku-gakuin.ac.jp
Publikováno v:
Hitotsubashi Journal of Commerce & Management. Oct2020, Vol. 53 Issue 1, p31-48. 18p.
Autor:
Masayuki Inaba, Kei Tsuzuki, Kento Kawaharazuka, Yusuke Omura, Yuya Nagamatsu, Koki Shinjo, Tasuku Makabe, Yuya Koga, Koji Kawasaki, Moritaka Onitsuka, Yuki Asano, Kei Okada
Publikováno v:
IEEE Robotics & Automation Magazine. 27:84-96
This article summarizes an autonomous driving project by musculoskeletal humanoids. The musculoskeletal humanoid, which mimics the human body in detail, has redundant sensors and a flexible body structure. These characteristics are suitable for motio
Autor:
Kento Kawaharazuka, Yasunori Toshimitsu, Manabu Nishiura, Yuya Koga, Yusuke Omura, Yuki Asano, Kei Okada, Koji Kawasaki, Masayuki Inaba
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Autor:
Kei Okada, Yuki Asano, Kento Kawaharazuka, Manabu Nishiura, Yuya Koga, Koji Kawasaki, Masayuki Inaba, Yusuke Omura
Publikováno v:
HUMANOIDS
While musculoskeletal humanoids have the advantages of various biomimetic structures, it is difficult to accurately control the body, which is challenging to model. Although various learning-based control methods have been developed so far, they cann
Autor:
Yuya Koga, Naoki Hiraoka, Masayuki Inaba, Koji Kawasaki, Manabu Nishiura, Yuki Asano, Yusuke Omura, Kei Okada, Kento Kawaharazuka
Publikováno v:
HUMANOIDS
The complex structure of musculoskeletal humanoids makes it difficult to model them, and the inter-body interference and high internal muscle force are unavoidable. Although various safety mechanisms have been developed to solve this problem, it is i