Error Recovery of Pick-and-Place Tasks in Consideration of Reusability of Planning

Abstract

Error recovery in robotic tasks is explored to enable robots to be used for complicated tasks. The authors' error recovery processes make use of the concepts of both task stratification and error classification. In this paper, the reusability of planning in error recovery is verified by using the typical pick-and-place tasks that are used in plant maintenance and industrial production.