@article {10.3844/jcssp.2010.837.843,
article_type = {journal},
title = {Evolution of Neural Controllers for Robot Navigation in Human Environments},
author = {Capi, Genci and Toda, Hideki},
volume = {6},
number = {8},
year = {2010},
month = {Aug},
pages = {837-843},
doi = {10.3844/jcssp.2010.837.843},
url = {https://thescipub.com/abstract/jcssp.2010.837.843},
abstract = {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.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}