Autonomous Mobile Robot using Multilayer Perceptron

R.A. Salam (Malaysia), N. Sharkey, and J.M. Saleh (UK)


Neural networks, multilayer perceptron, autonomousrobot, behavior.


Responding to a new situation and a new environment is something that a human being can do. But to create a robot which can adapt itself to a new environment is not easy. It deals with a very complex problem. Neural networks seem to be the most promising way in developing an autonomous robot. This research investigates the behavior of an autonomous mobile robot using multilayer perceptron (MLP) neural networks. Experiments were carried out to investigate the behavior of a robot in avoiding obstacles and finding goals. Results from experiments show that, neural networks could be used for developing an autonomous robot. The robot managed to achieve its goals while avoiding obstacles.

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