Conference proceeding
Robot learning to walk: An architectural problem for intelligent controllers
Proceedings of 8th IEEE International Symposium on Intelligent Control, pp 493-498
1993
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The authors analyze the design premises of a new control architecture based on the principle of nested hierarchical control which has the feature of learning from the already programmed skills of a teleoperated system. Different architectural principles are explored and compared. It is shown how high level languages can be built from low level knowledge by using cooperation of the already existing skills, new expert knowledge (teaching new heuristics), and self-experience (example based) learning.< >
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Details
- Title
- Robot learning to walk: An architectural problem for intelligent controllers
- Creators
- D Guinea - IndraM.C Garcia-Alegre - IndraP KalataA LacazeA MeystelIEEE
- Publication Details
- Proceedings of 8th IEEE International Symposium on Intelligent Control, pp 493-498
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:A1993BZ54S00084
- Other Identifier
- 991019182650104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Automation & Control Systems
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic