ReviewFrontiers in neurorobotics2019
Sensorimotor Contingencies as a Key Drive of Development: From Babies to Robots.
Review in Frontiers in neurorobotics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Toward brain-trained humanoid robots.Frontiers in neurorobotics · 2026Article
- Pathfinding: a neurodynamical account of intuition.Communications biology · 2025Review
- What is consciousness and what it is for. An introduction to extended information theory.Frontiers in psychology · 2025Article
- Comparing episodic memory outcomes from walking augmented reality and stationary virtual reality encoding experiences.Scientific reports · 2024Article
- Using enactive robotics to think outside of the problem-solving box: How sensorimotor contingencies constrain the forms of emergent autononomous habits.Frontiers in neurorobotics · 2022Article
- Sensorimotor Research Utilising Immersive Virtual Reality: A Pilot Study with Children and Adults with Autism Spectrum Disorders.Brain sciences · 2020Article
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Authors and funding
4 authors.
Funding
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Abstract
Much current work in robotics focuses on the development of robots capable of autonomous unsupervised learning. An essential prerequisite for such learning to be possible is that the agent should be sensitive to the link between its actions and the consequences of its actions, called sensorimotor contingencies. This sensitivity, and more particularly its role as a key drive of development, has been widely studied by developmental psychologists. However, the results of these studies may not necessarily be accessible or intelligible to roboticians. In this paper, we review the main experimental data demonstrating the role of sensitivity to sensorimotor contingencies in infants' acquisition of four fundamental motor and cognitive abilities: body knowledge, memory, generalization, and goal-directedness. We relate this data from developmental psychology to work in robotics, highlighting the links between these two domains of research. In the last part of the article we present a blueprint architecture demonstrating how exploitation of sensitivity to sensorimotor contingencies, combined with the notion of "goal," allows an agent to develop new sensorimotor skills. This architecture can be used to guide the design of specific computational models, and also to possibly envisage new empirical experiments.
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