Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Katerina Maria Oikonomou"'
Publikováno v:
Machines, Vol 11, Iss 2, p 162 (2023)
Due to the wide spread of robotics technologies in everyday activities, from industrial automation to domestic assisted living applications, cutting-edge techniques such as deep reinforcement learning are intensively investigated with the aim to adva
Externí odkaz:
https://doaj.org/article/ac066b1c124647ec8ba68822549c1b39
Autor:
Christoforos Keroglou, Ioannis Kansizoglou, Panagiotis Michailidis, Katerina Maria Oikonomou, Ioannis Tsampikos Papapetros, Paraskevi Dragkola, Iakovos T. Michailidis, Antonios Gasteratos, Elias B. Kosmatopoulos, Georgios Ch. Sirakoulis
Publikováno v:
IEEE Transactions on Medical Robotics and Bionics. 5:196-205
Publikováno v:
IEEE Robotics and Automation Letters. 8:3007-3014
Publikováno v:
2022 30th Mediterranean Conference on Control and Automation (MED).
Autor:
Katerina Maria Oikonomou, Ioannis Kansizoglou, Pelagia Manaveli, Athanasios Grekidis, Dimitrios Menychtas, Nikolaos Aggelousis, Georgios Ch. Sirakoulis, Antonios Gasteratos
Publikováno v:
2022 IEEE International Conference on Imaging Systems and Techniques (IST).
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030349943
ICVS
ICVS
The ability to have unmanned ground vehicles navigate unmapped off-road terrain has high impact potential in application areas ranging from supply and logistics, to search and rescue, to planetary exploration. To achieve this, robots must be able to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b6d7855d5bd5ba6d2c88610bc1529bc
https://doi.org/10.1007/978-3-030-34995-0_17
https://doi.org/10.1007/978-3-030-34995-0_17