Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Buche, Cedric"'
Scene Graph Generation (SGG) is a task that encodes visual relationships between objects in images as graph structures. SGG shows significant promise as a foundational component for downstream tasks, such as reasoning for embodied agents. To enable r
Externí odkaz:
http://arxiv.org/abs/2405.16116
Learning to compose visual relationships from raw images in the form of scene graphs is a highly challenging task due to contextual dependencies, but it is essential in computer vision applications that depend on scene understanding. However, no curr
Externí odkaz:
http://arxiv.org/abs/2305.18668
This article offers a literature review of goalkeeper robots in the context of the RoboCupSoccer competition. The latter is one of the various league categories hosted by the RoboCup Federation, which fosters AI and Robotics with their landmark chall
Externí odkaz:
http://arxiv.org/abs/2303.12635
Machine learning has proved useful in many software disciplines, including computer vision, speech and audio processing, natural language processing, robotics and some other fields. However, its applicability has been significantly hampered due its b
Externí odkaz:
http://arxiv.org/abs/2207.06196
Human-Robot Interaction (HRI) is an emerging subfield of service robotics. While most existing approaches rely on explicit signals (i.e. voice, gesture) to engage, current literature is lacking solutions to address implicit user needs. In this paper,
Externí odkaz:
http://arxiv.org/abs/2202.11337
Publikováno v:
KI - K{\"u}nstliche Intelligenz, Springer Nature, 2021, 35 (81-90)
Multi-task learning by robots poses the challenge of the domain knowledge: complexity of tasks, complexity of the actions required, relationship between tasks for transfer learning. We demonstrate that this domain knowledge can be learned to address
Externí odkaz:
http://arxiv.org/abs/2202.10222
Every year, the Robocup@Home competition challenges teams and robots' abilities. In 2020, the RoboCup@Home Education challenge was organized online, altering the usual competition rules. In this paper, we present the latest developments that lead the
Externí odkaz:
http://arxiv.org/abs/2107.02978
To be capable of lifelong learning in a real-life environment, robots have to tackle multiple challenges. Being able to relate physical properties they may observe in their environment to possible interactions they may have is one of them. This skill
Externí odkaz:
http://arxiv.org/abs/2009.10968
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Shernoff, Elisa S., Von Schalscha, Katherine, Gabbard, Joseph L., Delmarre, Alban, Frazier, Stacy L., Buche, Cédric, Lisetti, Christine
Publikováno v:
Educational Technology Research and Development, 2020 Dec 01. 68(6), 3235-3262.
Externí odkaz:
https://www.jstor.org/stable/48727590
