Estimation and Categorization of Errors in Error Recovery Using Task Stratification and Error Classification

被引：0
|
作者：
Nakamura, Akira [1 ]
Nagata, Kazuyuki [1 ]
Harada, Kensuke [2 ]
Yamanobe, Natsuki [1 ]
机构：
[1] Natl Inst Adv Ind Sci & Technol, Intelligent Syst Res Inst, Cent 2,1-1-1 Umezono, Tsukuba, Ibaraki 3058568, Japan
[2] Osaka Univ, Robot Manipulat Res Grp, Syst Innovat Dept, Grad Sch Engn Sci, 1-3 Machikaneyama, Toyonaka, Osaka 5608531, Japan
来源：
ICAROB 2017: PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS | 2017年
关键词：
error recovery; task stratification; error classification; manipulation; planning;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：P217 / P220
页数：4
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