Dynamic obstacle avoidance and evaluation base on neural network
The aim of this dissertation is to address the issue of dynamic obstacle avoidance in robotics. By combining genetic algorithms and neural network technology, a novel dynamic obstacle avoidance control system is developed. The dissertation introduces the Neuro Evolution of Augmenting Topologies (NEA...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/171546 |