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pro vyhledávání: '"Kristina Rebrova"'
Publikováno v:
ICDL-EPIROB
Action understanding undoubtedly involves visual representations. However, linking the observed action with the respective motor category might facilitate processing and provide us with the mechanism to “step into the shoes” of the observed agent
Publikováno v:
2013 International Conference on Process Control (PC).
In the field of robot control and navigation, alternative methods, such as various techniques from artificial intelligence are becoming widely adopted in these days. In this paper we present a middle-size omni-directional robotic vehicle with Mecanum
Autor:
Igor Farkaš, Kristina Rebrova
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2013 ISBN: 9783642407277
ICANN
ICANN
We present a model of a bidirectional three-layer neural network with sigmoidal units, which can be trained to learn arbitrary mappings. We introduce a bidirectional activation-based learning algorithm (BAL), inspired by O'Reilly's supervised General
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16f241197e3d3a58a0f00045aee170bd
https://doi.org/10.1007/978-3-642-40728-4_20
https://doi.org/10.1007/978-3-642-40728-4_20
Publikováno v:
Frontiers in Neurorobotics, Vol 6 (2012)
Frontiers in Neurorobotics
Frontiers in Neurorobotics
The recent outburst of interest in cognitive developmental robotics is fueled by the ambition to propose ecologically plausible mechanisms of how, among other things, a learning agent/robot could ground linguistic meanings in its sensorimotor behavio