Task Learning Based on the Imitation of Object’s Goal | Zendy

Carlos Calderón | Zendy; Mohan Rajesh Elara | Zendy

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Task Learning Based on the Imitation of Object’s Goal

Author(s) -

Carlos Calderón,

Mohan Rajesh Elara

Publication year - 2012

Publication title -

applied bionics and biomechanics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.397

H-Index - 23

eISSN - 1754-2103

pISSN - 1176-2322

DOI - 10.1155/2012/894238

Subject(s) - body schema , percept , human–computer interaction , imitation , computer science , robot , cognitive imitation , schema (genetic algorithms) , artificial intelligence , cognitive psychology , psychology , perception , machine learning , social psychology , neuroscience

Learning by imitation represents a useful and promising alternative to program robots. The approach presented here is based on two functional elements used by humans to understand and perform actions. These elements are: the body schema and the body percept. The first one is a representation of the body that contains information of the body’s capabilities. The body percept is a snapshot of the body and its relation with the environment at a given instant. These elements are believed to interact within humans to generate several abilities, among them the ability to imitate. This paper presents an approach to robot imitation based on these two functional elements, which approaches imitation by identifying the goals from the perceived actions.

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