Realtime-learning on an Autonomous Mobile Robot with Neural Networks
Euromicro '94 RT-Workshop - Vaesteraas (Västerås), Sweden, June 15-17, '94
Uwe R. Zimmer & Ewald von Puttkamer
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.
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