Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Jun Kinugawa"'
Publikováno v:
IEEE Access, Vol 9, Pp 117132-117139 (2021)
In this paper, we propose a novel tactile servoing based pressure distribution control scheme of a manipulator using a convolutional neural network (CNN). The CNN significantly improves the performance of the tactile servoing scheme compared to the o
Externí odkaz:
https://doaj.org/article/1c205dd6fbc1414698bc783fc5c46a32
Simultaneous transportation of multiple shelves by single mobile robot and passive docking mechanism
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 87, Iss 902, Pp 21-00123-21-00123 (2021)
In logistics warehouses, Goods-to-Person systems (i.e., kitting transport systems) and workers work together in order to improve the efficiency of kitting (also called “picking”) tasks. On the other hand, in assembly factories that also require k
Externí odkaz:
https://doaj.org/article/e03443366826432f8f48bc4fe5ace369
Publikováno v:
Engineering, Vol 4, Iss 4, Pp 471-478 (2018)
Cycling is an eco-friendly method of transport and recreation. With the intent of reducing the energy cost of cycling without providing an additional energy source, we have proposed the use of a torsion spring for knee-extension support. We developed
Externí odkaz:
https://doaj.org/article/270dc753c0ff4d318626db7793f8e88a
Publikováno v:
Sensors, Vol 21, Iss 24, p 8229 (2021)
Human–Robot Interaction (HRI) for collaborative robots has become an active research topic recently. Collaborative robots assist human workers in their tasks and improve their efficiency. However, the worker should also feel safe and comfortable wh
Externí odkaz:
https://doaj.org/article/1b40e78bc2e4479e81bfd29035e47c9f
Autor:
Akira SEINO, Jun KINUGAWA, Yuta WAKABAYASHI, Shoichi ITAMI, Tanapat BURANAAMON, Kazuhiro KOSUGE
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 85, Iss 874, Pp 19-00063-19-00063 (2019)
This study proposes a novel step and stair lifting system for wheelchair. In general households, it is difficult for setting the step/stair lift to provide a large space at the front of the entrance, because the size of the system is very large. In a
Externí odkaz:
https://doaj.org/article/833f8968e8904c6fb404e9b5ee86f973
Publikováno v:
Sensors, Vol 18, Iss 8, p 2719 (2018)
Automation of the bin picking task with robots entails the key step of pose estimation, which identifies and locates objects so that the robot can pick and manipulate the object in an accurate and reliable way. This paper proposes a novel point pair
Externí odkaz:
https://doaj.org/article/cc76dbf0b4b646d59ecfb1d44d0efd0c
Publikováno v:
Advanced Robotics. 36:167-181
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82c97896e9a01dc31c4a1e924c03cce0
https://doi.org/10.1080/01691864.2021.2011778
https://doi.org/10.1080/01691864.2021.2011778
Publikováno v:
IEEE Transactions on Human-Machine Systems. 51:590-600
Motion planning of collaborative robots is often required to simultaneously satisfy the contradictory objectives of reliably avoiding human workers and safely approaching them. In this article, we propose a new strategy that adaptively selects one of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c70f08605fd06c9cda9e053c7deff2a8
https://doi.org/10.1109/thms.2021.3112953
https://doi.org/10.1109/thms.2021.3112953
Publikováno v:
Advanced Robotics. 35:490-503
A reactive motion-planning for collaborative robots using the time-layered C-spaces (TLC-spaces) is proposed in this paper. First, the time-augmented C-space (TAC-space) is introduced. TAC-space is...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f443b77ef4559c9c5f15366b751b9b69
https://doi.org/10.1080/01691864.2021.1896381
https://doi.org/10.1080/01691864.2021.1896381
Simultaneous transportation of multiple shelves by single mobile robot and passive docking mechanism
Publikováno v:
Transactions of the JSME (in Japanese). 87:21-00123
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52bb2ddcc31cbc70af0929eed04984cf
https://doi.org/10.1299/transjsme.21-00123
https://doi.org/10.1299/transjsme.21-00123