A fuzzy-based potential field hierarchical reinforcement learning approach for target hunting by multi-AUV in 3-D underwater environments
Author:
Affiliation:
1. School of Physics and Electronic Electrical Engineering, Huaiyin Normal University, Huaian, People’s Republic of China
2. School of Automation, Southeast University, Nanjin, People’s Republic of China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
China Postdoctoral Science Foundation
Jiangsu Planned Projects for Postdoctoral Research Funds
Publisher
Informa UK Limited
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207179.2019.1648875
Reference38 articles.
1. Mobile robot path planning using an improved ant colony optimization
2. Goal-Directed Reasoning and Cooperation in Robots in Shared Workspaces: an Internal Simulation Based Neural Framework
3. Multi-Robot Hunting in Dynamic Environments
4. A potential field-based PSO approach to multi-robot cooperation for target search and hunting
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