Evolving Snake Robot Controllers Using Artificial Neural Networks as an Alternative to a Physics-Based Simulator-Reference-Cited by-同舟云学术

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Evolving Snake Robot Controllers Using Artificial Neural Networks as an Alternative to a Physics-Based Simulator

Published:2015-12 Issue: Volume: Page:
ISSN:
Container-title:2015 IEEE Symposium Series on Computational Intelligence
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Author:

Woodford Grant W.,Plessis Mathys C. Du,Pretorius Christiaan J.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7371400/7376572/07376620.pdf?arnumber=7376620

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neuro-augmented vision for evolutionary robotics;Machine Vision and Applications;2023-09-02

2. Bootstrapped Neuro-Simulation for Damage Recovery in Complex Robots;2022 IEEE Congress on Evolutionary Computation (CEC);2022-07-18

3. Avoiding Unexpected Obstacles During Robotic Navigation Using Rapidly-Exploring Random Trees and a Neural Network Simulator;Artificial Intelligence Research;2022

4. Towards robot vision using deep neural networks in evolutionary robotics;Evolutionary Intelligence;2020-10-26

5. An Evaluation of a Bootstrapped Neuro-Evolution Approach;Conference of the South African Institute of Computer Scientists and Information Technologists 2020;2020-09-11

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