Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Ozan Çatal"'
Publikováno v:
Frontiers in Systems Neuroscience, Vol 16 (2022)
Simultaneous localization and mapping (SLAM) represents a fundamental problem for autonomous embodied systems, for which the hippocampal/entorhinal system (H/E-S) has been optimized over the course of evolution. We have developed a biologically-inspi
Externí odkaz:
https://doaj.org/article/56acc0adf1d64c4a87650cf9689988f7
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:
Frontiers in Neurorobotics, Vol 16 (2022)
Although still not fully understood, sleep is known to play an important role in learning and in pruning synaptic connections. From the active inference perspective, this can be cast as learning parameters of a generative model and Bayesian model red
Externí odkaz:
https://doaj.org/article/0d96a3c0f5af45b5bbefdebd983bafd3
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:
Frontiers in Computational Neuroscience, Vol 14 (2020)
In this paper we investigate the active inference framework as a means to enable autonomous behavior in artificial agents. Active inference is a theoretical framework underpinning the way organisms act and observe in the real world. In active inferen
Externí odkaz:
https://doaj.org/article/104dbf9bfcc345ad8d3597bf7f00f6c2
Publikováno v:
Entropy, Vol 24, Iss 2, p 301 (2022)
The free energy principle, and its corollary active inference, constitute a bio-inspired theory that assumes biological agents act to remain in a restricted set of preferred states of the world, i.e., they minimize their free energy. Under this princ
Externí odkaz:
https://doaj.org/article/08c7e233eb71456abb4d7bbda7a5d90d
Publikováno v:
ICRA
IEEE international conference on robotics and automation
IEEE international conference on robotics and automation
Biologically inspired algorithms for simultaneous localization and mapping (SLAM) such as RatSLAM have been shown to yield effective and robust robot navigation in both indoor and outdoor environments. One drawback however is the sensitivity to perce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c959128b6b0d6b82860d788ba90d64b
http://arxiv.org/abs/2105.03265
http://arxiv.org/abs/2105.03265
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
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Frontiers in Computational Neuroscience
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
Frontiers in Computational Neuroscience
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
In this paper we investigate the active inference framework as a means to enable autonomous behavior in artificial agents. Active inference is a theoretical framework underpinning the way organisms act and observe in the real world. In active inferen
Publikováno v:
IROS
As warehouses, storage facilities and factories become more expanded and equipped with smart devices, there is a substantial need for rapid, intelligent and autonomous detection of unusual and potentially hazardous situations, also called anomalies.