Dynamic obstacle avoidance and evaluation base on neural network

• Main Author: Li, Qi
• Other Authors: Ling Keck Voon
• Format: Thesis-Master by Coursework
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering; Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
• Online Access: https://hdl.handle.net/10356/171546
• Institution: Nanyang Technological University

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...