RRT-Trained DDQN Algorithm for Pathfinding Problem of Automated Guided Vehicle-Reference-Cited by-同舟云学术

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RRT-Trained DDQN Algorithm for Pathfinding Problem of Automated Guided Vehicle

Published:2024-03-01 Issue: Volume:29 Page:151-155
ISSN:
Container-title:2024 7th International Conference on Advanced Algorithms and Control Engineering (ICAACE)
language:
Short-container-title:

Author:

Zheng Kai¹,Liu Jun¹,Zhang Yi²,Shi Yang³

Affiliation:

1. School of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications,Chongqing,China

2. The Library of Chongqing University of Posts and Telecommunications,Chongqing,China

3. The School of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications,Chongqing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548022/10548040/10548092.pdf?arnumber=10548092

Reference19 articles.

1. The review unmanned surface vehicle path planning: Based on multi-modality constraint

2. Multi-start and multi-end AGV path planning b ased on deep Q network;Huang;Computer Integrated Manufacturing Systems,2023

3. Robot path planning based on improved DQN algorithm;Li;Computer Engineering,2023

4. Mobile robot path planning based on improved A* algorithm and dynamic window method;Wang;Robot,2020

5. A Hybrid Tabu Search and 2-opt Path Programming for Mission Route Planning of Multiple Robots under Range Limitations

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