Reinforcement and Curriculum Learning for Off-Road Navigation of an UGV with a 3D LiDAR
This paper presents the use of deep Reinforcement Learning (RL) for autonomous navigation of an Unmanned Ground Vehicle (UGV) with an onboard three-dimensional (3D) Light Detection and Ranging (LiDAR) sensor in off-road environments. For training, both the robotic simulator Gazebo and the Curriculum...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2023-03-01
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| Serier: | Sensors |
| Fag: | |
| Online adgang: | https://www.mdpi.com/1424-8220/23/6/3239 |
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