Comprehensive Ocean Information-Enabled AUV Path Planning Via Reinforcement Learning-Reference-Cited by-同舟云学术

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Comprehensive Ocean Information-Enabled AUV Path Planning Via Reinforcement Learning

Published:2022-09-15 Issue:18 Volume:9 Page:17440-17451
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Xi Meng¹^ORCID,Yang Jiachen¹^ORCID,Wen Jiabao¹^ORCID,Liu Hankai²^ORCID,Li Yang¹^ORCID,Song Houbing Herbert³^ORCID

Affiliation:

1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

2. College of Intelligence and Computing, Tianjin University, Tianjin, China

3. Security and Optimization for Networked Globe Laboratory, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

Funder

National Natural Science Foundation of China

Foundation of Pre-Research on Equipment of China

Major Civil-Military Integration Project in Tianjin, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9881201/09723442.pdf?arnumber=9723442

Reference46 articles.

1. Informed Anytime Fast Marching Tree for Asymptotically Optimal Motion Planning

2. Neural RRT*: Learning-Based Optimal Path Planning

3. Stochastic Optimization-Aided Energy-Efficient Information Collection in Internet of Underwater Things Networks

4. Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning

5. Ant-Colony-Based Complete-Coverage Path-Planning Algorithm for Underwater Gliders in Ocean Areas With Thermoclines

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2. An End-to-End Path Planner Combining Potential Field Method With Deep Reinforcement Learning;IEEE Sensors Journal;2024-08-15

3. A reinforcement learning-based evolutionary algorithm for the unmanned aerial vehicles maritime search and rescue path planning problem considering multiple rescue centers;Memetic Computing;2024-08-12

4. Path planning of stratospheric airship in dynamic wind field based on deep reinforcement learning;Aerospace Science and Technology;2024-07

5. Path Planning of Autonomous Mobile Robot in Comprehensive Unknown Environment Using Deep Reinforcement Learning;IEEE Internet of Things Journal;2024-06-15

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