Developmental Learning for Autonomous Robots

Qinggang Meng, Mark Lee, Fei Chao

Research output: Contribution to journalArticlepeer-review

29 Citations (SciVal)
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Abstract

Developmental robotics is concerned with the design of algorithms that promote robot adaptation and learning through qualitative growth of behaviour and increasing levels of competence. This paper uses ideas and inspiration from early infant psychology (up to three months of age) to examine how robot systems could discover the structure of their local sensory-motor spaces and learn how to coordinate these for the control of action. An experimental learning model is described and results from robotic experiments using the model are presented and discussed.
Original languageEnglish
Pages (from-to)750-759
Number of pages10
JournalRobotics and Autonomous Systems
Volume55
Issue number9
DOIs
Publication statusPublished - 30 Sept 2007

Keywords

  • Sensory-motor coordination
  • Developmental robotics
  • Early infant learning

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