A NOVEL PATH PLANNING FOR AUV BASED ON DUNG BEETLE OPTIMISATION ALGORITHM WITH DEEP Q-NETWORK, 65-73.
This study presents a route planning technique, known as dungbeetle optimisation with deep Q-network (DBO-DQN), to tackle thedifficulties associated with quick path planning and efficient obstacleavoidance for autonomous underwater vehicles (AUVs) operating ina 3D underwater environment.
Authors
- Xianpeng Shi
- Baogang Li (ORCID: https://orcid.org/0000-0001-5165-4037)
- Hanbin Zhang (ORCID: https://orcid.org/0000-0003-2228-7981)
Publication Details
- Journal
- International Journal of Robotics and Automation
- Published
- 2024-12-19
- DOI
- https://doi.org/10.2316/j.2025.206-1098
- Citations
- 1
- Primary Topic
- Vehicle License Plate Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.32