EXPERT CONTROL FOR A ROBOT BODY
| dc.contributor.author | MacDonald, Bruce | eng |
| dc.contributor.author | Andreae, John H. | eng |
| dc.date.accessioned | 2008-02-26T22:37:34Z | |
| dc.date.available | 2008-02-26T22:37:34Z | |
| dc.date.computerscience | 1999-05-27 | eng |
| dc.date.issued | 1987-12-01 | eng |
| dc.description.abstract | Mobile robots with dextrous hands and sophisticated sensory systems will require intelligent, knowledge-based, expert controllers. In this paper we develop a design for a robot controller which can acquire task knowledge as it interacts in the world with its human users. The design is based on four reasonable assumptions which lead us to a theoretical framework for robot learning systems. The framework is called a multiple context learning system. It is a production system with multiple templates for forming productions as the system interacts with the world. The paper discusses elaborations of the framework and experimental tests of the system. | eng |
| dc.description.notes | We are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.ca | eng |
| dc.identifier.department | 1987-286-34 | eng |
| dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/30889 | |
| dc.identifier.uri | http://hdl.handle.net/1880/45568 | |
| dc.language.iso | Eng | eng |
| dc.publisher.corporate | University of Calgary | eng |
| dc.publisher.faculty | Science | eng |
| dc.subject | Computer Science | eng |
| dc.title | EXPERT CONTROL FOR A ROBOT BODY | eng |
| dc.type | unknown | |
| thesis.degree.discipline | Computer Science | eng |