Cited By
View all- Melnyk AHénaff P(2019)Physical Analysis of Handshaking Between Humans: Mutual Synchronisation and Social ContextInternational Journal of Social Robotics10.1007/s12369-019-00525-yOnline publication date: 12-Feb-2019
Learning sensorimotor navigation using synchrony-based partner selection
Authors: 
Marwen Belkaid, Caroline Lesueur-Grand, Ghilès Mostafaoui, Nicolas Cuperlier, Philippe GaussierAuthors Info & Claims
Article No.: 19, Pages 1 - 5
Abstract
Future robots are supposed to become our partners and share the environments where we live in our daily life. Considering the fact that they will have to co-exist with "nonexpert" people (elders, impaired people, children, etc.), we must rethink the way we design human/robot interactions. In this paper, we take a radical simplification route taking advantage from recent discoveries in low-level human interactions and dynamical motor control. Indeed, we argue for the need to take the dynamics of the interactions into account. Therefore, we propose a bio-inspired neuronal architecture to mimics adult/infant interactions that: (1) are initiated thanks to synchrony-based partner selection, (2) are maintained and re-engaged thanks to partner recognition and focus of attention, and (3) allow for learning sensorimotor navigation based on place/action associations. Our experiment shows good results for the learning of a navigation area and proves that this approach is promising for more complex tasks and interactions.
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- Learning sensorimotor navigation using synchrony-based partner selection
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Published: 13 July 2016
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ICAIR '16
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- City of Kitakyushu
ICAIR '16: 2016 International Conference on Artificial Intelligence and Robotics
July 13 - 15, 2016
Kitakyushu, Japan
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View all- Melnyk AHénaff P(2019)Physical Analysis of Handshaking Between Humans: Mutual Synchronisation and Social ContextInternational Journal of Social Robotics10.1007/s12369-019-00525-yOnline publication date: 12-Feb-2019
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