Dispatching and Path Planning of Automated Guided Vehicles based on Petri Nets and Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Dispatching and Path Planning of Automated Guided Vehicles based on Petri Nets and Deep Reinforcement Learning

Published:2021-12-03 Issue: Volume: Page:
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Container-title:2021 IEEE International Conference on Networking, Sensing and Control (ICNSC)
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Author:

Zhang Hongbin,Luo Jiliang,Lin Xinjie,Tan Kaicheng,Pan Chunrong

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9702148/9702125/09702196.pdf?arnumber=9702196

Reference8 articles.

1. Robot planning based on boolean specifications using petri net models;mahulea;IEEE Transactions on Automatic Control,2017

2. Multi‐robot path planning based on a deep reinforcement learning DQN algorithm

3. Optimal petri-net controller for avoiding collisions in a class of automated guided vehicle systems;luo;IEEE Transactions on Intelligent Transportation Systems,2019

4. Adam: A method for stochastic optimization;kingma;Computer Science,2014

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