Learning and Reuse of Experience in Behavior-Based Service Robots

Qinggang Meng; Mark Lee; Horst Holstein

doi:10.1109/ICARCV.2002.1238564

Learning and Reuse of Experience in Behavior-Based Service Robots

Qinggang Meng, Mark Lee, Horst Holstein

Department of Computer Science

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

Abstract

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 language	English
Title of host publication	7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002
Publisher	IEEE Press
Pages	1019-1024
Number of pages	6
Volume	2
ISBN (Print)	981-04-8364-3
DOIs	https://doi.org/10.1109/ICARCV.2002.1238564
Publication status	Published - Dec 2002

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10.1109/ICARCV.2002.1238564

http://hdl.handle.net/2160/113

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title = "Learning and Reuse of Experience in Behavior-Based Service Robots",

abstract = "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.",

author = "Qinggang Meng and Mark Lee and Horst Holstein",

note = "M.H.Lee, Q. Meng and H. Holstein, “Learning and Reuse of Experience in Behavior-Based Service Robots”, Seventh International Conference on Control, Automation, Robotics and Vision (ICARCV2002), pp1019-24, December 2002, Singapore",

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N2 - 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.

AB - 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.

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DO - 10.1109/ICARCV.2002.1238564

M3 - Conference Proceeding (Non-Journal item)

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BT - 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002

PB - IEEE Press

ER -

Learning and Reuse of Experience in Behavior-Based Service Robots

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