Application of machine learning for autonomous robots in a simplified environment

• 主要作者: Geraldo, Kent Howard
• 其他作者: Lap-Pui Chau
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2022
• 主題: Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
• 在線閱讀: https://hdl.handle.net/10356/158085
• 機構: Nanyang Technological University

Robomaster University AI Challenge (RMUA) is an annual competition co-hosted by DJI, IEEE, and the International Conference on Robotics and Automation (ICRA). The most recent advancements in AI are implemented and highlighted in this competition. One area that where AI can be used to improve upon the existing technology is localization. This paper aims to use machine learning as a method of sensor fusion to localize a robot. Furthermore, in this project, the machine-learning based localization method will be benchmarked and implemented directly with the navigation system. The result shows that the implementation of convolutional neural network as a sensor fusion method shows promise of improving the existing localization methods.