Authors
Akira Nakamura, Kazuyuki Nagata, Kensuke Harada, Natsuki Yamanobe
Corresponding Author
Akira Nakamura
Available Online 1 September 2017.
DOI
https://doi.org/10.2991/jrnal.2017.4.2.13How to use a DOI?
Keywords
error recovery, task stratification, error classification, manipulation, planning
Abstract
We proposed an approach to error recovery that uses the concepts of task stratification and error classification. In our method, errors are classified according to the estimated cause into several categories, such as modeling and planning errors. When an error is classified correctly, this increases the probability that the most suitable recovery is performed. In this paper, we describe a procedure for error categorization.

Copyright
© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).