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2024 | OriginalPaper | Chapter

The Application of the Reinforcement Learning Method for Mobile Robot Navigation in an Unknown Environment

Authors : Anh-Tu Nguyen, Hong-Son Nguyen

Published in: Proceedings of the 3rd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2022)

Publisher: Springer Nature Switzerland

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Abstract

Mobile robots have attracted the attention of researchers because of their potential use in industry and daily life. Traditional navigation methods based on the predefined path or known map have been successfully applied to robots working in various scenes. When a robot is operating in an unknown environment, it must learn how to navigate through obstacles, identify risks, and design new trajectories in order to achieve its target. This paper presents the application of the reinforcement learning (RL) method in which the RL algorithm is based on the Q-table for robot navigation. A simulation model is designed on the Gazebo platform for the initial training of RL policies. The simulation and experimental results have proven the proposed method is efficient and the robot works well in an unknown environment involving different obstacles.

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Literature
1.
C. Chou, F. Lian, C. Wang, Characterizing indoor environment for robot navigation using velocity space approach with region analysis and look-ahead verification. IEEE Trans. Instrum. Meas.Instrum. Meas. 60, 442–451 (2011)CrossRef
2.
A. Stephen, Y. Sun, A.L. Taher, Implementation of autonomous navigation algorithms on two-wheeled ground mobile robot. Am. J. Eng. Appl. Sci. 7, 149–164 (2014)CrossRef
3.
S. Lu, C. Xu, R.Y. Zhong, An active RFID tag-enabled locating approach with multipath effect elimination in AGV. IEEE Trans. Autom. Sci. Eng.Autom. Sci. Eng. 13, 1333–1342 (2016)CrossRef
4.
L. Vachhani, A.D. Mahindrakar, K. Sridharan, Mobile Robot navigation through a hardware-efficient implementation for control-law-based construction of generalized Voronoi diagram. IEEE/ASME Trans. Mechatron.Mechatron. 16, 1083–1095 (2011)CrossRef
5.
A. Rengifo, F.E. Segura-Quijano, N. Quijano, An affordable set of control system laboratories using a low-cost robotic platform. IEEE/ASME Trans. Mechatron.Mechatron. 23, 1705–1715 (2018)CrossRef
6.
M. Abdelwahab, V. Parque, A.M.R. Fath Elbab, A. A. Abouelsoud, S. Sugano, Trajectory tracking of wheeled mobile robots using Z-number based fuzzy logic. IEEE Access 8:18426–18441
7.
W. Zhao, X. Wang, B. Qi, T. Runge, Ground-level mapping and navigating for agriculture based on IoT and computer vision. IEEE Access 8, 221975–221985 (2020)CrossRef
8.
W. Kaifang, L. Bo, G. Xiaoguang, H. Zijian, Y. Zhipeng, A learning-based flexible autonomous motion control method for UAV in dynamic unknown environments. J. Syst. Eng. Electron. 32, 1490–1508 (2021)CrossRef
9.
L. Yehezkel, S. Berman, D. Zarrouk, Overcoming obstacles with a reconfigurable robot using reinforcement learning. IEEE Access 8, 217541–217553 (2020)CrossRef
10.
R.S. Sutton, A.G. Barto, Reinforcement Learning: An Introduction, vol. 1 (MIT press Cambridge, 2018)
11.
L. Aleksa, J. Kosta, in Application of Artificial Intelligence in Mobile Robotics and Autonomous Driving. Master rad. The University of Belgrade, Faculty of Electrical Engineering, 2020
Metadata
Title
The Application of the Reinforcement Learning Method for Mobile Robot Navigation in an Unknown Environment
Authors
Anh-Tu Nguyen
Hong-Son Nguyen
Copyright Year
2024
Book
Proceedings of the 3rd Annual International Conference on Material, Machines and Methods for Sustainable Development (MMMS2022)

Print ISBN: 978-3-031-57459-7

Electronic ISBN: 978-3-031-57460-3

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-57460-3_22