Conference proceeding
Explanation-based manipulator learning: Acquisition of planning ability through observation
Proceedings. 1985 IEEE International Conference on Robotics and Automation, Vol.2, pp.555-560
1985
DOI: 10.1109/ROBOT.1985.1087311
Abstract
This paper describes a robot manipulator system currently under development which learns from observation. The system improves its problem-solving capabilities through the acquisition of task-related concepts. The system observes manipulator command sequences that solve problems currently beyond its own panning abilities. General problem-solving schemata are automatically constructed via a knowledge-based analysis of how the observed command sequence achieved the goal. This learning technique is based on explanatory schema acquisition. It is a knowledge-based approach, requiring sufficient background knowledge to understand the observed sequence. The acquired schemata serve two purposes: they allow the system to solve problems that were previously unsolvable, and they aid in the understanding of later observations.
Details
- Title: Subtitle
- Explanation-based manipulator learning: Acquisition of planning ability through observation
- Creators
- A Segre - University of Illinois Urbana-ChampaignG DeJong - University of Illinois Urbana-Champaign
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings. 1985 IEEE International Conference on Robotics and Automation, Vol.2, pp.555-560
- Publisher
- IEEE
- DOI
- 10.1109/ROBOT.1985.1087311
- ISSN
- 1050-4729
- eISSN
- 2577-087X
- Language
- English
- Date published
- 1985
- Academic Unit
- Nursing; Fraternal Order of Eagles Diabetes Research Center; Computer Science
- Record Identifier
- 9984259496302771
Metrics
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