Exploring Saliency for Learning Sensory-Motor Contingencies in Loco-Manipulation Tasks

The objective of this paper is to propose a framework for a robot to learn multiple Sensory-Motor Contingencies from human demonstrations and reproduce them. Sensory-Motor Contingencies are a concept that describes intelligent behavior of animals and humans in relation to their environment. They hav...

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Bibliographic Details
Published in:	Robotics (Basel) Vol. 13; no. 4; p. 58
Main Authors:	Stefanini, Elisa, Lentini, Gianluca, Grioli, Giorgio, Catalano, Manuel Giuseppe, Bicchi, Antonio
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.04.2024
Subjects:	Algorithms Behavior Collaboration Control systems Decision making Feedback human–robot interaction intelligent robotics Machine learning Motion Perception Perceptions Robot arms Robot control Robot learning robot programming and interfaces Robotics Robots sensorimotor learning Sensors Italy
ISSN:	2218-6581, 2218-6581
Online Access:	Get full text
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