Transactions of the Society of Instrument and Control Engineers
Online ISSN : 1883-8189
Print ISSN : 0453-4654
ISSN-L : 0453-4654
Paper
Autonomous Error Recovery of Industrial Robots Using Hierarchical Planning System
Satoru MATSUOKATetsuo SAWARAGIYukio HORIGUCHIHiroaki NAKANISHI
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2017 Volume 53 Issue 1 Pages 80-89

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Abstract
In recent automated production lines, it is important for industrial robots to recover from unexpected errors autonomously without intervention by human operators. In this paper, a hierarchical planning system that realizes autonomous error recovery of robots is proposed and demonstrated, and its effectiveness in cooperative work is verified. In order to realize a variety of flexible error recovery functions, a partial order planning scheme as well as a re-planning capability utilizing semantic information on the production environment are proposed.
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© 2017 The Society of Instrument and Control Engineers
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