Estimation and Categorization of Errors in Error Recovery Using Task Stratification and Error Classification
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Atlantis Press
2017-08-01
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| Series: | Journal of Robotics, Networking and Artificial Life (JRNAL) |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25885035.pdf |
| Summary: | 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. |
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| ISSN: | 2352-6386 |