Zobrazeno 1 - 10
of 72
pro vyhledávání: '"George Konidaris"'
Autor:
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M.R. Arnold, Ese Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha
Publikováno v:
Neural Networks. 160:274-296
Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to "real world" events, where the input distributions and tasks encountered by the deployed systems will not be limited to the original t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::036018c7a4ebaf09e61ba1d46f5b4c3c
https://doi.org/10.1016/j.neunet.2023.01.007
https://doi.org/10.1016/j.neunet.2023.01.007
Autor:
Freek Stulp, Michael Spranger, Kim Listmann, Stéphane Doncieux, Moritz Tenorth, George Konidaris, Pieter Abbeel
Publikováno v:
IEEE Robotics and Automation Magazine
IEEE Robotics and Automation Magazine, 2022, 29 (4), pp.141-144. ⟨10.1109/MRA.2022.3213205⟩
IEEE Robotics and Automation Magazine, 2022, 29 (4), pp.141-144. ⟨10.1109/MRA.2022.3213205⟩
International audience; Presents interviews conducted with robotics engineers discussing advances in artificial intelligence, with particular use in machine learning. Advances in artificial intelligence (AI), especially in machine learning (ML), are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64fb873b8519918663c1774ea6e4e256
https://doi.org/10.1109/mra.2022.3213205
https://doi.org/10.1109/mra.2022.3213205
Autor:
George Konidaris
Publikováno v:
Lethaia. 55:1-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1e15eac1b655bebac1e20d986e34ddd
https://doi.org/10.18261/let.55.2.5
https://doi.org/10.18261/let.55.2.5
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:7612-7619
Optimistic initialization underpins many theoretically sound exploration schemes in tabular domains; however, in the deep function approximation setting, optimism can quickly disappear if initialized naively. We propose a framework for more effective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f3583eaefd21d634ba5ed524b165945
https://doi.org/10.1609/aaai.v36i7.20727
https://doi.org/10.1609/aaai.v36i7.20727
Autor:
Kris Hauser, Anthony N. Kuo, Brenton Keller, Joseph A. Izatt, George Konidaris, Mark Draelos, Ruobing Qian, Kevin C. Zhou
Publikováno v:
IEEE Trans Robot
Ophthalmic microsurgery is technically difficult because the scale of required surgical tool manipulations challenge the limits of the surgeon's visual acuity, sensory perception, and physical dexterity. Intraoperative optical coherence tomography (O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::462762b49d9f6aed5b0f442418a18dd0
https://pubmed.ncbi.nlm.nih.gov/36168513
https://pubmed.ncbi.nlm.nih.gov/36168513
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030954581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ca27d01074ebd9755326c7829e2a286
https://doi.org/10.1007/978-3-030-95459-8_31
https://doi.org/10.1007/978-3-030-95459-8_31
We present a framework that, given a set of skills a robot can perform, abstracts sensor data into symbols that we use to automatically encode the robot's capabilities in Linear Temporal Logic. We specify reactive high-level tasks based on these capa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f7dce7fa2dbd001f9fdddd94300d6ff
Inverse kinematics - finding joint poses that reach a given Cartesian-space end-effector pose - is a common operation in robotics, since goals and waypoints are typically defined in Cartesian space, but robots must be controlled in joint space. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f45c54c6b304e009ff5ace252e4879ce
http://arxiv.org/abs/2111.08933
http://arxiv.org/abs/2111.08933
Autor:
George Konidaris
Στην παρούσα διατριβή μελετώνται τα προβοσκιδωτά του Άνω Μειόκαινου της Ελλάδας. Το υλικό μελέτης περιλαμβάνει δείγματα που προέρχοντα
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85c3bffefc03347711ebf441438c7506
https://doi.org/10.12681/eadd/28953
https://doi.org/10.12681/eadd/28953
Publikováno v:
IJCAI
The difficulty of deterministic planning increases exponentially with search-tree depth. Black-box planning presents an even greater challenge, since planners must operate without an explicit model of the domain. Heuristics can make search more effic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b6e4511078238b0c082d63821fa66f4
https://doi.org/10.24963/ijcai.2021/554
https://doi.org/10.24963/ijcai.2021/554