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
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;
Conference_Titel :
Real-Time Systems, 1994. Proceedings., Sixth Euromicro Workshop on
Conference_Location :
Vaesteraas
Print_ISBN :
0-8186-6340-5
DOI :
10.1109/EMWRTS.1994.336867
