AUV Obstacle Avoidance Planning Based on Deep Reinforcement Learning
In a complex underwater environment, finding a viable, collision-free path for an autonomous underwater vehicle (AUV) is a challenging task. The purpose of this paper is to establish a safe, real-time, and robust method of collision avoidance that improves the autonomy of AUVs. We propose a method b...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2021-10-01
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| Rangatū: | Journal of Marine Science and Engineering |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2077-1312/9/11/1166 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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