Name
Title | ||
|---|---|---|
Estimation and Categorization of Errors in Error Recovery Using Task Stratification and Error Classification. |
Abstract | ||
|---|---|---|
We have proposed an error recovery method using the concepts of task stratification and error classification in which errors are classified based on an estimated cause into several categories such as modeling errors and planning errors. When an error is classified correctly, the possibility increases that the most suitable recovery will be performed. This paper describes our procedure for the categorization of errors. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.2991/jrnal.2017.4.2.13 | ICAROB 2017: PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS |
Keywords | Field | DocType |
error recovery,task stratification,error classification,manipulation,planning | Categorization,Stratification (seeds),Pattern recognition,Computer science,Artificial intelligence,Bayes error rate,Machine learning | Journal |
Volume | Issue | ISSN |
4 | 2 | 2352-6386 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akira Nakamura | 1 | 25 | 5.05 |
| Kazuyuki Nagata | 2 | 176 | 25.55 |
| Kensuke Harada | 3 | 1967 | 172.97 |
| Natsuki Yamanobe | 4 | 66 | 13.66 |