TY  - JOUR
AU  - Capi, Genci 
AU  - Toda, Hideki 
PY  - 2010
TI  - Evolution of Neural Controllers for Robot Navigation in Human Environments
JF  - Journal of Computer Science
VL  - 6
IS  - 8
DO  - 10.3844/jcssp.2010.837.843
UR  - https://thescipub.com/abstract/jcssp.2010.837.843
AB  - 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.