Evolution of Neural Controllers for Robot Navigation in Human Environments
Capi · Journal of Computer Science · 2010
Problem statement: In this study, we presented a novel vision-based learning approach for autonomous robot navigation.Approach: In our method, we converted the captured image in a binary one, which after the partition is used as the input of the neural controller.Results: The neural control system, which maps the visual information to motor commands, is evolved online using real robots.Conclusion/Recommendations: We showed that evolved neural networks performed well in indoor human environments.Furthermore, we compared the performance of neural controllers with an algorithmic vision based control method.