Developmental Learning for Autonomous Robots

Qinggang Meng, Mark Lee, Fei Chao

Research output: Contribution to journalArticlepeer-review

29 Citations (SciVal)
223 Downloads (Pure)


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
Issue number9
Publication statusPublished - 30 Sept 2007


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


Dive into the research topics of 'Developmental Learning for Autonomous Robots'. Together they form a unique fingerprint.

Cite this