Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Nobutaka Shimada"'
Autor:
Dinh Tuan Tran, Dung Duc Tran, Minh Anh Nguyen, Quyen Van Pham, Nobutaka Shimada, Joo-Ho Lee, Anh Quang Nguyen
Publikováno v:
IEEE Access, Vol 11, Pp 64170-64184 (2023)
3D object detection and localization based on only a monocular camera always faces its fundamental ill-posed issue to estimate 3D information. In combination with deep neural networks, recent researches have shown encouraging results to tackle this i
Externí odkaz:
https://doaj.org/article/3bfa55f5e3fe4f889a4109d8d21fee29
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 89, Iss 920, Pp 22-00274-22-00274 (2023)
This paper proposes a method for a robot to recall multiple action candidates for an object by learning object manipulations based on observation of human actions. When learning, multiple answers to a single input in supervised regression manner, it
Externí odkaz:
https://doaj.org/article/ef6bba1478b74092b083dc0e487e7fa0
Publikováno v:
IEEE Access, Vol 10, Pp 77668-77678 (2022)
Traditional models for various machine learning problems such as image classification perform well only under the assumption of a closed set. This implies that inputs must belong to the classes for which the models were trained. Data collected in the
Externí odkaz:
https://doaj.org/article/1cb9283901fe4afc98a035bede40cd68
Publikováno v:
ROBOMECH Journal, Vol 8, Iss 1, Pp 1-13 (2021)
Abstract In this study, a method for a robot to recall multiple grasping methods for a given object is proposed. The aim of this study was for robots to learn grasping methods for new objects by observing the grasping activities of humans in daily li
Externí odkaz:
https://doaj.org/article/5668b895d2f94b7ba8820891e8c15564
Autor:
Rena Ishii, Akiko Shoda, Michiyo Kubo, Satiko Okazaki, Minori Suzuki, Riho Okawa, Megumi Enomoto, Manami Shitanaka, Yoko Fujita, Kazuki Nakao, Nobutaka Shimada, Michiharu Horikawa, Hiroaki Negishi, Yuji Taketani
Publikováno v:
Reproductive Medicine and Biology, Vol 17, Iss 3, Pp 307-314 (2018)
Abstract Purpose To determine whether the cycle regimens that are used for endometrial preparation are associated with the birthweight (BW) after assisted reproductive technology (ART) using frozen‐thawed embryo transfer (FET). Methods The BW of si
Externí odkaz:
https://doaj.org/article/2bf16f4d627649038b9444582390ee42
Publikováno v:
Transactions of the JSME (in Japanese). 89:22-00274
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::baa2b719704eeb52ab88792e62453392
https://doi.org/10.1299/transjsme.22-00274
https://doi.org/10.1299/transjsme.22-00274
Autor:
Yutong Zhou, Nobutaka Shimada
Publikováno v:
Proceedings of the 1st International Workshop on Multimedia for Cooking, Eating, and related APPlications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e02183d1c1919fe31247e78eb95847b9
https://doi.org/10.1145/3552485.3554935
https://doi.org/10.1145/3552485.3554935
Publikováno v:
ROBOMECH Journal, Vol 8, Iss 1, Pp 1-13 (2021)
In this study, a method for a robot to recall multiple grasping methods for a given object is proposed. The aim of this study was for robots to learn grasping methods for new objects by observing the grasping activities of humans in daily life withou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31ab3317b0a0cb9d1d71714e684a943d
https://doaj.org/article/5668b895d2f94b7ba8820891e8c15564
https://doaj.org/article/5668b895d2f94b7ba8820891e8c15564
Autor:
Lotfi El Hafi, Takanobu Nishiura, Yoshinobu Hagiwara, Akira Taniguchi, Nobutaka Shimada, Tadahiro Taniguchi
Publikováno v:
Advanced Robotics. 35:664-674
The installation of remotely-operated service robots in the environments of our daily life (including offices, homes, and hospitals) can improve work-from-home policies and enhance the quality of t...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e6e1c9211c666a376bd442422b8551e
https://doi.org/10.1080/01691864.2021.1928552
https://doi.org/10.1080/01691864.2021.1928552
Autor:
Yutong Zhou, Nobutaka Shimada
Publikováno v:
2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5766d5700d14de4b7389bac4d50a9e4
https://doi.org/10.1109/fg52635.2021.9666791
https://doi.org/10.1109/fg52635.2021.9666791