Application of machine learning for autonomous robots in a simplified environment
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...
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| 主要作者: | |
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| 其他作者: | |
| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
Nanyang Technological University
2022
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/158085 |
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| 總結: | 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. |
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