Integrating Deep Q-Networks and YOLO with Autonomous Robots for Efficient Warehouse Management-Reference-Cited by-同舟云学术

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Integrating Deep Q-Networks and YOLO with Autonomous Robots for Efficient Warehouse Management

Published:2024-04-09 Issue: Volume: Page:419-424
ISSN:
Container-title:2024 5th International Conference on Recent Trends in Computer Science and Technology (ICRTCST)
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Author:

N Vivek¹,A Suriya²,V Kamala²,Chinnasamy N. V.³,J Akshya¹,M Sundarrajan⁴,Choudhry Mani Deepak⁵

Affiliation:

1. SRM Institute of Science and Technology,Department of Computational Intelligence,Chennai

2. KGiSL Institute of Technology,Department of Computer Science and Engineering,Coimbatore

3. Karpagam Academy of Higher Education,Department of Computer Science,Coimbatore

4. SRM Institute of Science and Technology,Department of Networking and Communications,Chennai

5. KGiSL Institute of Technology,Department of Information Technology,Coimbatore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10578345/10578346/10578347.pdf?arnumber=10578347

Reference20 articles.

1. Task Selection by Autonomous Mobile Robots in A Warehouse Using Deep Reinforcement Learning

2. Spare Parts Inventory Management: A Literature Review

3. Graph-based path planning for intelligent UAVs in area coverage applications

4. Warehouse-Oriented Optimal Path Planning for Autonomous Mobile Fire-Fighting Robots

5. Identifying sustainable warehouse management system indicators and proposing new weighting method

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