Realtime-learning on an Autonomous Mobile Robot with Neural Networks
- The problem to be discussed here, is the usage of neural network clustering techniques on a mobile robot, in order to build qualitative topologic environment maps. This has to be done in realtime, i.e. the internal world model has to be adapted by the flow of sensor- samples without the possibility to stop this data-flow.Our experiments are done in a simulation environment as well as on a robot, called ALICE.
Author: | Uwe R. Zimmer, Ewald von Puttkamer |
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URN: | urn:nbn:de:hbz:386-kluedo-2974 |
Document Type: | Preprint |
Language of publication: | English |
Year of Completion: | 1994 |
Year of first Publication: | 1994 |
Publishing Institution: | Technische Universität Kaiserslautern |
Date of the Publication (Server): | 2000/04/03 |
Faculties / Organisational entities: | Kaiserslautern - Fachbereich Informatik |
DDC-Cassification: | 0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik |
Licence (German): | Standard gemäß KLUEDO-Leitlinien vor dem 27.05.2011 |