A Modular Dynamic Sensorimotor Model for Affordances Learning, Sequences Planning, and Tool-Use

This paper proposes a computational model for learning robot control and sequence planning based on the ideomotor principle. This model encodes covariation laws between sensors and motors in a modular fashion and exploits these primitive skills to build complex action sequences, potentially involvin...

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Bibliographic Details
Published in:	IEEE transactions on cognitive and developmental systems Vol. 10; no. 1; pp. 72 - 87
Main Authors:	Braud, Raphael, Pitti, Alexandre, Gaussier, Philippe
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.03.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers, Inc
Subjects:	Affordance Artificial Intelligence Cognitive science Computational modeling Computer Science Computer Vision and Pattern Recognition Embedded Systems Encoding Human-Computer Interaction ideomotor principle Image Processing Learning Machine Learning Modeling and Simulation Modular systems Neural and Evolutionary Computing Neuroscience Object recognition Planning Psychology Robot arms Robot control Robot kinematics Robot sensing systems Robotics sensorimotor laws sequences tool-use Sequences Ideomotor principle Tool-Use Affordance Sensorimotor Laws Robotics
ISSN:	2379-8920, 2379-8939
Online Access:	Get full text
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