Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Vasileios Vasilopoulos"'
Autor:
Motoyuki Sugai, Akira Yuasa, Ryan L. Miller, Vasileios Vasilopoulos, Hitomi Kurosu, Amer Taie, Jason P. Gordon, Tetsuya Matsumoto
Publikováno v:
Infectious Diseases and Therapy, Vol 12, Iss 6, Pp 1695-1713 (2023)
Abstract Introduction While incidence rates of vancomycin-resistant Enterococcus faecium have remained comparatively low in Japan, there have been increasing reports of more vancomycin-resistant Enterococcus (VRE) outbreaks, requiring costly measures
Externí odkaz:
https://doaj.org/article/f5ba9c1127d14ab28b3459ae4371dac3
Autor:
Motoyuki Sugai, Akira Yuasa, Ryan L. Miller, Vasileios Vasilopoulos, Hitomi Kurosu, Amer Taie, Jason P. Gordon, Tetsuya Matsumoto
Publikováno v:
Infectious Diseases and Therapy, Vol 12, Iss 8, Pp 2191-2192 (2023)
Externí odkaz:
https://doaj.org/article/e1caf29fd7a74f538e87a995c81d9c46
Autor:
Vasileios Vasilopoulos, Maria Pitou, Ilias Fekas, Rigini Papi, Andreas Ouranidis, Eleni Pavlidou, Panos Patsalas, Τheodora Choli-Papadopoulou
Publikováno v:
ACS Omega, Vol 5, Iss 41, Pp 26329-26334 (2020)
Externí odkaz:
https://doaj.org/article/b336d517a0b943278bb165dc8ebd19f8
Autor:
Karl Schmeckpeper, Kostas Daniilidis, Daniel E. Koditschek, Vasileios Vasilopoulos, Georgios Pavlakos
Publikováno v:
The International Journal of Robotics Research. 41:85-126
This paper solves the planar navigation problem by recourse to an online reactive scheme that exploits recent advances in SLAM and visual object recognition to recast prior geometric knowledge in terms of an offline catalogue of familiar objects. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44a76df86ce5c4cde946efa4929f54e1
https://doi.org/10.1177/02783649211048931
https://doi.org/10.1177/02783649211048931
Publikováno v:
IEEE Transactions on Robotics. 37:1239-1251
In this article, we physically demonstrate a reactive sensorimotor architecture for mobile robots whose behaviors are generated by motivation dynamics. Motivation dynamics uses a continuous dynamical system to reactively compose low-level control vec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13f6925c5b6f977de0cd72dfcc9c7b62
https://doi.org/10.1109/tro.2020.3043720
https://doi.org/10.1109/tro.2020.3043720
Autor:
Vasileios Vasilopoulos, Sebastian Castro, William Vega-Brown, Daniel E. Koditschck, Nicholas Roy
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8a39d92912de7fcfb4d91ba7a9baf58
https://doi.org/10.1109/icra46639.2022.9811936
https://doi.org/10.1109/icra46639.2022.9811936
Autor:
Daniel E. Koditschek, Georgios Pavlakos, J. Diego Caporale, Vasileios Vasilopoulos, Kostas Daniilidis, Sean L. Bowman, George J. Pappas
Publikováno v:
IEEE Robotics and Automation Letters. 5:4455-4462
This letter presents a reactive planning system that enriches the topological representation of an environment with a tightly integrated semantic representation, achieved by incorporating and exploiting advances in deep perceptual learning and probab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::807989c85686c00e55eb0ac05fbaafd1
https://doi.org/10.1109/lra.2020.3001496
https://doi.org/10.1109/lra.2020.3001496
In this paper we address mobile manipulation planning problems in the presence of sensing and environmental uncertainty. In particular, we consider mobile sensing manipulators operating in environments with unknown geometry and uncertain movable obje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5d7d02114597630c32d41f78c96a1d9
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030954581
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6068424fb86b45e49889b3ad86e6c45e
https://doi.org/10.1007/978-3-030-95459-8_38
https://doi.org/10.1007/978-3-030-95459-8_38
Publikováno v:
ICRA
Complex manipulation tasks, such as rearrangement planning of numerous objects, are combinatorially hard problems. Existing algorithms either do not scale well or assume a great deal of prior knowledge about the environment, and few offer any rigorou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e4cda97909f2239b5a6fca1817f5526
https://doi.org/10.1109/icra48506.2021.9561958
https://doi.org/10.1109/icra48506.2021.9561958