Grounding Perception: A Developmental Approach to Sensorimotor Contingencies
October 03, 2018 ยท Declared Dead ยท ๐ IEEE/RJS International Conference on Intelligent RObots and Systems
"No code URL or promise found in abstract"
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Authors
Alban Laflaquiรจre, Nikolas Hemion, Michaรซl Garcia Ortiz, Jean-Christophe Baillie
arXiv ID
1810.01870
Category
cs.LG: Machine Learning
Cross-listed
cs.AI,
cs.RO,
stat.ML
Citations
5
Venue
IEEE/RJS International Conference on Intelligent RObots and Systems
Last Checked
4 months ago
Abstract
Sensorimotor contingency theory offers a promising account of the nature of perception, a topic rarely addressed in the robotics community. We propose a developmental framework to address the problem of the autonomous acquisition of sensorimotor contingencies by a naive robot. While exploring the world, the robot internally encodes contingencies as predictive models that capture the structure they imply in its sensorimotor experience. Three preliminary applications are presented to illustrate our approach to the acquisition of perceptive abilities: discovering the environment, discovering objects, and discovering a visual field.
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