A cognitive approach to goal-level imitation

Antonio Chella, Haris Dindo, Ignazio Infantino

Risultato della ricerca: Articlepeer review

1 Citazioni (Scopus)


Imitation in robotics is seen as a powerful means to reduce the complexity of robot programming. It allows users to instruct robots by simply showing them how to execute a given task. Through imitation robots can learn from their environmentand adapt to it just as human newborns do. In order to be useful as human companions, robots must act for a purpose by achieving goals and fulfilling human expectations. In this paper we present an architecture for goal-level imitation in robotics where focus is put on final effects of actions on objects. The architecture tightly links low-level data with high-level knowledge, and integrates, in a unified framework, several aspects of imitation, such as perception, learning, knowledge representation, action generation and robot control. Some preliminary experimental results on an anthropomorphic arm/hand robotic system are shown.
Lingua originaleEnglish
pagine (da-a)301-318
RivistaInteraction Studies
Stato di pubblicazionePublished - 2008

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.1200.1203???
  • ???subjectarea.asjc.1100.1103???
  • ???subjectarea.asjc.3300.3310???
  • ???subjectarea.asjc.1700.1709???


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