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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Vydané v:IEEE transactions on cognitive and developmental systems Ročník 10; číslo 1; s. 72 - 87
Hlavní autori: Braud, Raphael, Pitti, Alexandre, Gaussier, Philippe
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 01.03.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers, Inc
Predmet:
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
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Popis
Shrnutí: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 involving tool-use. Implemented for a robotic arm, the model starts with raw unlabeled sensor and motor vectors and autonomously assigns functions to neutral objects in the environment. Our experimental evaluation highlights the emergent properties of such a modular system and we discuss their consequences from ideomotor and sensorimotor-theoretic perspectives.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2379-8920
2379-8939
DOI:10.1109/TCDS.2016.2647439