Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Xing, Eliot"'
Autor:
Park, Jong Hoon, Chen, Lawrence, Higgins, Ian, Zheng, Zhaobo, Mehrotra, Shashank, Salubre, Kevin, Mousaei, Mohammadreza, Willits, Steven, Levedahl, Blain, Buker, Timothy, Xing, Eliot, Misu, Teruhisa, Scherer, Sebastian, Oh, Jean
Vertical take-off and landing (VTOL) aircraft do not require a prolonged runway, thus allowing them to land almost anywhere. In recent years, their flexibility has made them popular in development, research, and operation. When compared to traditiona
Externí odkaz:
http://arxiv.org/abs/2406.06448
Publikováno v:
Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:683-704, 2022
The ability for an agent to continuously learn new skills without catastrophically forgetting existing knowledge is of critical importance for the development of generally intelligent agents. Most methods devised to address this problem depend heavil
Externí odkaz:
http://arxiv.org/abs/2301.00141
Publikováno v:
Proceedings of The 1st Conference on Lifelong Learning Agents, PMLR 199:705-743, 2022
Progress in continual reinforcement learning has been limited due to several barriers to entry: missing code, high compute requirements, and a lack of suitable benchmarks. In this work, we present CORA, a platform for Continual Reinforcement Learning
Externí odkaz:
http://arxiv.org/abs/2110.10067
Autor:
Erickson, Zackory, Clever, Henry M., Gangaram, Vamsee, Xing, Eliot, Turk, Greg, Liu, C. Karen, Kemp, Charles C.
Towards the goal of robots performing robust and intelligent physical interactions with people, it is crucial that robots are able to accurately sense the human body, follow trajectories around the body, and track human motion. This study introduces
Externí odkaz:
http://arxiv.org/abs/2105.11582
Multimodal Material Classification for Robots using Spectroscopy and High Resolution Texture Imaging
Material recognition can help inform robots about how to properly interact with and manipulate real-world objects. In this paper, we present a multimodal sensing technique, leveraging near-infrared spectroscopy and close-range high resolution texture
Externí odkaz:
http://arxiv.org/abs/2004.01160
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Erickson, Zackory, Clever, Henry M., Gangaram, Vamsee, Xing, Eliot, Turk, Greg, Liu, C. Karen, Kemp, Charles C.
Publikováno v:
IEEE Transactions on Robotics; February 2023, Vol. 39 Issue: 1 p357-372, 16p