Health signal generation in the ORCA (Organic robot control architecture) framework
| dc.contributor.author | Maas, Raphael | |
| dc.contributor.author | Maehle, Erik | |
| dc.contributor.editor | Plödereder, E. | |
| dc.contributor.editor | Grunske, L. | |
| dc.contributor.editor | Schneider, E. | |
| dc.contributor.editor | Ull, D. | |
| dc.date.accessioned | 2017-07-26T10:58:33Z | |
| dc.date.available | 2017-07-26T10:58:33Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | This paper evaluates various information-theoretical methods for the generation of health signals in the Organic Robot Control Architecture (ORCA). Also a new method based on the joint probability distribution of signals is proposed. The results show that the new method is superior to the known ones for the studied worst-case artificial and real scenarios. As an example for the application of health signals in ORCA, an adaptable path planner is described which considers the health status of a partially damaged robot. | en |
| dc.identifier.isbn | 978-3-88579-626-8 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Informatik 2014 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-232 | |
| dc.title | Health signal generation in the ORCA (Organic robot control architecture) framework | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 1338 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 1327 | |
| gi.conference.date | 22.-26. September 2014 | |
| gi.conference.location | Stuttgart |
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