Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Emre Ugur"'
Publikováno v:
IEEE Access, Vol 12, Pp 69690-69699 (2024)
Human brain and behavior provide a rich venue that can inspire novel control and learning methods for robotics. In an attempt to exemplify such a development by inspiring how humans acquire knowledge and transfer skills among tasks, we introduce a no
Externí odkaz:
https://doaj.org/article/47c1cfbbadf44f9e925e3aad3f870232
Publikováno v:
Frontiers in Neurorobotics, Vol 13 (2019)
Externí odkaz:
https://doaj.org/article/bb438080d59543dcba5157f57306db50
Publikováno v:
Journal of Artificial Intelligence Research. 75:709-745
Symbolic planning and reasoning are powerful tools for robots tackling complex tasks. However, the need to manually design the symbols restrict their applicability, especially for robots that are expected to act in open-ended environments. Therefore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9105271a84602d3549bec9f8d6030bb
https://doi.org/10.1613/jair.1.13754
https://doi.org/10.1613/jair.1.13754
Publikováno v:
Robotica. 40:3811-3836
In this paper, we propose a set of robust training methods for deep reinforcement learning to transfer learning acquired in one control task to a set of previously unseen control tasks. We improve generalization in commonly used transfer learning ben
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac3ea347f020920a2d2a576373025130
https://doi.org/10.1017/s0263574722000625
https://doi.org/10.1017/s0263574722000625
Publikováno v:
Neural Networks. 146:22-35
Learning to interact with the environment not only empowers the agent with manipulation capability but also generates information to facilitate building of action understanding and imitation capabilities. This seems to be a strategy adopted by biolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8483ac6843c9db4396bee21e6f7c912b
https://doi.org/10.1016/j.neunet.2021.11.004
https://doi.org/10.1016/j.neunet.2021.11.004
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 13:286-297
In this article, we propose an effective action parameter exploration mechanism that enables efficient discovery of robot actions through interacting with objects in a simulated table-top environment. For this, the robot organizes its action paramete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0231ca75d3f2de2e31504c1336b6e9d3
https://doi.org/10.1109/tcds.2019.2933900
https://doi.org/10.1109/tcds.2019.2933900
Publikováno v:
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60ce7b06002668d548ce1bfbc9ec0b0e
https://doi.org/10.1109/case49997.2022.9926657
https://doi.org/10.1109/case49997.2022.9926657
Autor:
Serkan Bugur, Emre Ugur
Publikováno v:
Pamukkale University Journal of Engineering Sciences. 26:974-982
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb070334ddba4e7021adbe1c793fb32e
https://doi.org/10.5505/pajes.2020.09334
https://doi.org/10.5505/pajes.2020.09334
Autor:
Tadahiro Taniguchi, Takayuki Nagai, Shingo Shimoda, Angelo Cangelosi, Yiannis Demiris, Yutaka Matsuo, Kenji Doya, Tetsuya Ogata, Lorenzo Jamone, Yukie Nagai, Emre Ugur, Daichi Mochihashi, Yuuya Unno, Kazuo Okanoya, Takashi Hashimoto
Publikováno v:
Advanced Robotics. 36:217-218
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bba28aa5d5c888f0fc9620e8682edc0
https://doi.org/10.1080/01691864.2022.2042892
https://doi.org/10.1080/01691864.2022.2042892
Publikováno v:
ICDL
In robotics, objects and body parts can be represented in various coordinate frames to ease computation. In biological systems, body or body part centered coordinate frames have been proposed as possible reference frames that the brain uses for inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ab48418d6fe27f0017f6c82fa6d6d70
https://doi.org/10.1109/icdl49984.2021.9515616
https://doi.org/10.1109/icdl49984.2021.9515616