Learn to navigate through deep neural networks
Autonomous navigation is a crucial prerequisite for mobile robots to perform various tasks while it remains a great challenge due to its inherent complexity. This thesis deals with the autonomous navigation problem using deep neural networks. It presents four main parts, i.e., an imitation learning...
Saved in:
主要作者: | Wu, Keyu |
---|---|
其他作者: | Wang Han |
格式: | Thesis-Doctor of Philosophy |
語言: | English |
出版: |
Nanyang Technological University
2020
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/139680 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
iTD3-CLN: learn to navigate in dynamic scene through Deep Reinforcement Learning
由: Jiang, Haoge, et al.
出版: (2022) -
Deep learning neural network for image processing
由: Ma, Xueqing
出版: (2020) -
Mobile robot navigation using deep learning
由: Wong, Ezekiel Ngan Seng
出版: (2020) -
Auxiliary network design for local learning in deep neural networks
由: Peng, Jiawei
出版: (2021) -
Design of the deep learning based electric vehicle charging forecasting network and navigation system
由: Song, Yaofeng
出版: (2022)