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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Vydané v:	Robotics (Basel) Ročník 13; číslo 4; s. 58
Hlavní autori:	Stefanini, Elisa, Lentini, Gianluca, Grioli, Giorgio, Catalano, Manuel Giuseppe, Bicchi, Antonio
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.04.2024
Predmet:	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
On-line prístup:	Získať plný text
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