Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Toon Van de Maele"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Cognitive problem-solving benefits from cognitive maps aiding navigation and planning. Physical space navigation involves hippocampal (HC) allocentric codes, while abstract task space engages medial prefrontal cortex (mPFC) task-specific cod
Externí odkaz:
https://doaj.org/article/d1a41f05384e49fb9056cfefb1946aba
Publikováno v:
Entropy, Vol 26, Iss 1, p 83 (2024)
Robust evidence suggests that humans explore their environment using a combination of topological landmarks and coarse-grained path integration. This approach relies on identifiable environmental features (topological landmarks) in tandem with estima
Externí odkaz:
https://doaj.org/article/1387541269ff43eeb99c1c78388ee50e
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Scene understanding and decomposition is a crucial challenge for intelligent systems, whether it is for object manipulation, navigation, or any other task. Although current machine and deep learning approaches for object detection and classification
Externí odkaz:
https://doaj.org/article/36b558238eba41ee8fad01360caf97fa
Publikováno v:
Sensors, Vol 22, Iss 19, p 7382 (2022)
The robotics field has been deeply influenced by the advent of deep learning. In recent years, this trend has been characterized by the adoption of large, pretrained models for robotic use cases, which are not compatible with the computational hardwa
Externí odkaz:
https://doaj.org/article/70b46f99982a42d6befbf3f7cc79fc49
Publikováno v:
Frontiers in Neurorobotics, Vol 15 (2021)
Occlusions, restricted field of view and limited resolution all constrain a robot's ability to sense its environment from a single observation. In these cases, the robot first needs to actively query multiple observations and accumulate information b
Externí odkaz:
https://doaj.org/article/5f800eb7302e4f14b206d1988b39c01c
Publikováno v:
INTERFACE FOCUS
Humans perceive and interact with hundreds of objects every day. In doing so, they need to employ mental models of these objects and often exploit symmetries in the object’s shape and appearance in order to learn generalizable and transferable skil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff38695bf5d0802f409877e9db2b4bb6
https://doi.org/10.1098/rsfs.2022.0077
https://doi.org/10.1098/rsfs.2022.0077
Publikováno v:
NEURAL NETWORKS
Localization and mapping has been a long standing area of research, both in neuroscience, to understand how mammals navigate their environment, as well as in robotics, to enable autonomous mobile robots. In this paper, we treat navigation as inferrin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa17f231a389428cf2d6bb97d742137
https://pubmed.ncbi.nlm.nih.gov/34022669
https://pubmed.ncbi.nlm.nih.gov/34022669
Publikováno v:
Active Inference ISBN: 9783030649180
Active inference, First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020
Active inference, First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020
Active vision considers the problem of choosing the optimal next viewpoint from which an autonomous agent can observe its environment. In this paper, we propose to use the active inference paradigm as a natural solution to this problem, and evaluate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a617cf799fd83f475fb405885f0abf97
https://doi.org/10.1007/978-3-030-64919-7_11
https://doi.org/10.1007/978-3-030-64919-7_11
