An Infant Development-inspired Approach to Robot Hand-eye Coordination

Fei Chao, Mark Howard Lee, Min Jiang, Zhou Changle

Research output: Contribution to journalArticlepeer-review

13 Citations (SciVal)
128 Downloads (Pure)

Abstract

This paper presents a novel developmental learning approach for hand-eye coordination in an autonomous robotic system. Robotic hand-eye coordination plays an important role in dealing with real-time environments. Under the approach, infant developmental patterns are introduced to build our robot’s learning system. The method works by first constructing a brain-like computational structure to control the robot, and then by using infant behavioural patterns to build a hand-eye coordination learning algorithm. This work is supported by an experimental evaluation, which shows that the control system is implemented simply, and that the learning approach provides fast and incremental learning of behavioural competence.
Original languageEnglish
Article number15
JournalInternational Journal of Advanced Robotic Systems
Volume11
DOIs
Publication statusPublished - 2014

Keywords

  • developmental robotics
  • robotic hand-eye coordination
  • infant developmental pattern
  • brain-like computational structure

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