DocumentCode
2205593
Title
Realtime-learning on an autonomous mobile robot with neural networks
Author
Zimmer, Uwe R. ; Von Puttkamer, Ewald
Author_Institution
Dept. of Comput. Sci., Kaiserslautern Univ., Germany
fYear
1994
fDate
15-17 Jun 1994
Firstpage
40
Lastpage
44
Abstract
We discuss 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
Keywords
learning (artificial intelligence); mobile robots; neural nets; ALICE; autonomous mobile robot; clustering techniques; neural networks; realtime-learning; sensor-samples; simulation environment; topologic environment maps; Computer science; Dead reckoning; Electronic mail; Laser modes; Mobile robots; Neural networks; Object detection; Robot sensing systems; Solid modeling; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Real-Time Systems, 1994. Proceedings., Sixth Euromicro Workshop on
Conference_Location
Vaesteraas
Print_ISBN
0-8186-6340-5
Type
conf
DOI
10.1109/EMWRTS.1994.336867
Filename
336867
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