Learning and Reuse of Experience in Behavior-Based Service Robots

Qinggang Meng, Mark Lee, Horst Holstein

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)


In this paper, we describe the incorporation of learning and reuse of experience into behavior-based service robot systems. Experience is context based, and the learned experience is associated with its relevant behaviors. Object constraints are obtained by virtual object movements in image space. In addition to retaining the key properties of behavior-based systems, our approach also has the planning ability to recover from errors and to imitate an object pattern shown by humans. Experiments on a real physical robot system have successfully tested the approach.
Original languageEnglish
Title of host publication7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002
PublisherIEEE Press
Number of pages6
ISBN (Print)981-04-8364-3
Publication statusPublished - Dec 2002


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