Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Buche, Cedric"'
Scene Graph Generation (SGG) can extract abstract semantic relations between entities in images as graph representations. This task holds strong promises for other downstream tasks such as the embodied cognition of an autonomous agent. However, to po
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
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Autor:
Polceanu, Mihai, Buche, Cédric
Simulation is widely used to make model-based predictions, but few approaches have attempted this technique in dynamic physical environments of medium to high complexity or in general contexts. After an introduction to the cognitive science concepts
Externí odkaz:
http://arxiv.org/abs/1405.5048