Zobrazeno 1 - 10
of 684
pro vyhledávání: '"Katsushi Ikeuchi"'
Applying learning-from-observation to household service robots: three task common-sense formulations
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
Utilizing a robot in a new application requires the robot to be programmed at each time. To reduce such programmings efforts, we have been developing “Learning-from-observation (LfO)” that automatically generates robot programs by observing human
Externí odkaz:
https://doaj.org/article/811dc3cb43a64aa2ae0489dbc3b9e70e
Publikováno v:
IEEE Access, Vol 11, Pp 95060-95078 (2023)
This paper introduces a novel method for translating natural-language instructions into executable robot actions using OpenAI’s ChatGPT in a few-shot setting. We propose customizable input prompts for ChatGPT that can easily integrate with robot ex
Externí odkaz:
https://doaj.org/article/d310831d5296475aa84f1dabd9cfc6d2
Autor:
Daichi Saito, Kazuhiro Sasabuchi, Naoki Wake, Atsushi Kanehira, Jun Takamatsu, Hideki Koike, Katsushi Ikeuchi
Publikováno v:
Robotics, Vol 13, Iss 1, p 8 (2023)
Robot manipulation in a physically constrained environment requires compliant manipulation. Compliant manipulation is a manipulation skill to adjust hand motion based on the force imposed by the environment. Recently, reinforcement learning (RL) has
Externí odkaz:
https://doaj.org/article/351ea0d35c4f4b5b84b4c4696b478b2b
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 4, Iss 3 (2011)
The most difficult but important problem in advance driver assistance system development is how to measure and model the behavioral response of drivers with focusing on the cognition process. This paper describes driver's deceleration and acceleratio
Externí odkaz:
https://doaj.org/article/a91176ce213d4597967304b0ec9e1f37
Autor:
Katsushi Ikeuchi, Tetsuro Morimoto, Mawo Kamakura, Nobuaki Kuchitsu, Kazutaka Kawano, Tomoo Ikeda
Publikováno v:
International Journal of Computer Vision. 130:1609-1626
Digitization of cultural assets has become an important sub-area of computer vision (CV). Thus far, the value of digitization has been emphasized in terms of asset preservation and exhibition. The third aspect of digitization value is that the obtain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4f468b254650cb9ccc9dfaa4c15bbad
https://doi.org/10.1007/s11263-022-01609-5
https://doi.org/10.1007/s11263-022-01609-5
Publikováno v:
IEEJ Transactions on Electrical and Electronic Engineering. 17:407-415
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da605c01fee41e718690e21ad4341758
https://doi.org/10.1002/tee.23523
https://doi.org/10.1002/tee.23523
Publikováno v:
2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::577a55e007e6d0c371c032aad348102b
https://doi.org/10.1109/humanoids53995.2022.10000167
https://doi.org/10.1109/humanoids53995.2022.10000167
Publikováno v:
IEEE Robotics and Automation Letters. 6:413-420
Many works in robot teaching either focus only on teaching task knowledge, such as geometric constraints, or motion knowledge, such as the motion for accomplishing a task. However, to effectively teach a complex task sequence to a robot, it is import
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc8930331fd76d471e8ae691c579e6a0
https://doi.org/10.1109/lra.2020.3044029
https://doi.org/10.1109/lra.2020.3044029
Publikováno v:
International Journal of Intelligent Transportation Systems Research. 19:299-311
Fisheye cameras or wide-angle cameras used on automobiles will have various future applications as “distributed sensors in daily transport” -- objects on roadside are frequently observed multiple times by multiple vehicles. Although the object re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8baafc1edfa4b05f0e2d753946a53ab
https://doi.org/10.1007/s13177-020-00243-0
https://doi.org/10.1007/s13177-020-00243-0
Autor:
Iori Yanaokura, Naoki Wake, Kazuhiro Sasabuchi, Riku Arakawa, Kei Okada, Jun Takamatsu, Masayuki Inaba, Katsushi Ikeuchi
Publikováno v:
2022 IEEE/SICE International Symposium on System Integration (SII).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9f0d1f23edee6c0ce379132d66a093b
https://doi.org/10.1109/sii52469.2022.9708836
https://doi.org/10.1109/sii52469.2022.9708836