Experimental Study of Algorithms for Planning the Trajectory of a Warehouse Mobile Robot Based on Reinforcement Learning-Reference-Cited by-同舟云学术

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Experimental Study of Algorithms for Planning the Trajectory of a Warehouse Mobile Robot Based on Reinforcement Learning

Published:2024-03-16 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE Conference on Computer Applications (ICCA)
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Author:

Aung Zayar¹,Myo Aung Kyaw²,War Nu Nu³,Mikhailovna Gerget Olga¹

Affiliation:

1. Tomsk State University (TSU),Dept. Innovative Technology (IT),Tomsk,Russia

2. Institute of Systems and Software Engineering and Information Technology, National Research University of Electronic Technology (MIET),Zelenograd,Moscow,RUSSIA

3. University of Co-operative Management, Sagaing (UCMS),Dept. Information Communication Technology (ICT),Sagaing,Myanmar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532775/10532787/10533116.pdf?arnumber=10533116

Reference14 articles.

1. Surface Optimal Path Planning Using an Extended Dijkstra Algorithm

2. A simulation study of a-star algorithm for robot path planning;Cui

3. Autonomous UAV Path Planning Using Modified PSO for UAV-Assisted Wireless Networks

4. RRT-connect: An efficient approach to single-query path planning

5. RRT-based nonholonomic motion planning using any-angle path biasing

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