Deep deterministic policy gradient reinforcement learning for collision-free navigation of mobile robots in unknown environments
Learning how to navigate in unfamiliar environments is a critical skill for AI-powered mobile robots. Traditional methods for robot navigation typically involve three key steps: positioning, mapping, and route planning. However, in unknown environments, these methods can become outdated because rout...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Firat University
2023-06-01
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| Series: | Firat University Journal of Experimental and Computational Engineering |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/3218809 |