Journal of Computer Science | |
Evolution of Neural Controllers for Robot Navigation in Human Environments | Science Publications | |
Genci Capi1  Hideki Toda1  | |
关键词: Robot navigation; vision; neural networks; evolutionary algorithm; | |
DOI : 10.3844/jcssp.2010.837.843 | |
学科分类:计算机科学(综合) | |
来源: Science Publications | |
【 摘 要 】
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.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201911300493815ZK.pdf | 430KB | download |