Error Recovery Action Planning for Robots Based on Deep Semantic Information of Failures
Author:
Affiliation:
1. Mitsubishi Electric Corporation Advanced Technology R&D Center
2. Graduate School of Engineering, Kyoto University
Publisher
The Society of Instrument and Control Engineers
Link
https://www.jstage.jst.go.jp/article/sicetr/57/1/57_25/_pdf
Reference10 articles.
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3. 4) M. Cashmore, M. Fox, D. Long, D. Magazzeni, B. Ridder, A. Carrera, N. Palomeras, N. Hurtos and M. Carreras: ROSPlan: Planning in the Robot Operating System, 25th International Conference on Automated Planning and Scheduling, 333/341 (2015)
4. 5) A. Nakamura, K. Nagata, K. Harada, N. Yamanobe, T. Tsuji, T. Foissote and Y. Kawai: Error recovery using task stratification and error classification for manipulation robots in various fields, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3535/3542 (2013)
5. 7) D. Altan and S. Sariel: What went wrong?: Identification of Everyday Object Manipulation Anomalies, arXiv preprint arXiv: 2001.09084 (2020)
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