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 - contact authors
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