Path planning algorithms of sweeping robots

Research Article
Open access

Path planning algorithms of sweeping robots

Zheyuan Chen 1* , Jiani Lu 2 , Yuqi Shang 3 , Diwen Xu 4
  • 1 Chongqing Depu Foreign Language School    
  • 2 Changzhou Cardiff and Vale College    
  • 3 Shanghai Caoyang No.2 High School    
  • 4 Shanghai SZA    
  • *corresponding author lbrown83359@student.napavalley.edu
Published on 22 February 2024 | https://doi.org/10.54254/2755-2721/41/20230716
ACE Vol.41
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-307-4
ISBN (Online): 978-1-83558-308-1

Abstract

Different categories of path planning algorithms for sweeping robot are introduced, including Dijkstra algorithm and A*Algorithm in Traditional path-planning Algorithm, PRM Algorithm and RRT Algorithm in sampling algorithm, and Ant Colony Optimization Algorithms and Genetic algorithms in Intelligent bionic algorithm. Each algorithm has its principles and features introduced. At the same time, several algorithms are compared, and summarized, each algorithm has its advantages and disadvantages, in the future development should be combined with their strengths to optimize the path planning algorithm of the sweeping robot.

Keywords:

Computer Science, Path Planning Algorithm, Sweeping Robot

Chen,Z.;Lu,J.;Shang,Y.;Xu,D. (2024). Path planning algorithms of sweeping robots. Applied and Computational Engineering,41,99-105.
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References

[1]. Tan Dingzhong, Wang Qiming, Li Jinshan, Li Lin. (2004). Research and Development Status of Cleaning Robot.

[2]. Cheng Qian, Gao Song, Cao Kai, Chen Chaobo. (2019). Path Planning of Mobile Robot Based on PRM Optimization Algorithm. Journal of Computer Applications and Software, 37(12).

[3]. N. Jasika, N. Alispahic, A. Elma, K. llvana, L. Elma and N. Nosovic,”Dijkstra’s shortestpath algorithm serial and parallel execution performance analysis,” 2012 Proceedingsof the 35th International Convent.

[4]. Bai Zhiqiang, Xin Zhou, Zhang Xueqi. (2022). Research on Robot Path Planning Based on Improved Traditional RRT Algorithm. Machine Building & Automation, pp. 177-179.

[5]. Wang Hao, Fang Lu, Zhuang Kui, et al. (2021). Path Planning of Sweeping Robot Design based on Genetic Algorithm. China-Arab States Science and Technology Forum, 4(3).

[6]. Yan Qin, Tian Zhumei, Ren Guofeng, et al. (2020). Path Planning of Intelligent Sweeping Robot Based on Genetic Algorithm. Journal of Science, 40(3), pp. 5.

[7]. Zhang H., Hong W., and Chen M. (2019). A Path Planning Strategy for Intelligent Sweeping Robots. IEEE International Conference on Mechatronics and Automation (ICMA), Tianjin, China, pp. 11-15.

[8]. Sen K. and Liqiang Z. (2019) A Path Planning Algorithm for Sweeping Robot Based on Improved Neural Network. The 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE), Xiamen, China, pp. 359-362.

[9]. Ge B., Hu S. and Zheng P. (2020). Research on Full Traversal Path Planning Based on Improved Reciprocating Algorithm. IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), Chongqing, China, pp. 922-926.

[10]. Wang Z., Xie H., Lin Z., Wen T., Guo C. and Chen H. (2020). The Robot Path Planning Algorithm In Indoor Environment. The 46th Annual Conference of the IEEE Industrial Electronics Society, Singapore, pp. 5350-5355.

[11]. Luo B., Huang Y., Deng F., Li W. and Yan Y., (2021). Complete Coverage Path Planning for Intelligent Sweeping Robot. IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC), Dalian, China, pp. 316-321.

[12]. Hasan K. M., Abdullah-Al-Nahid and Reza K. J. (2014) Path Planning Algorithm Development for Autonomous Vacuum Cleaner Robots. International Conference on Informatics, Electronics & Vision (ICIEV), Dhaka, Bangladesh, pp. 1-6.

[13]. P. Bogdan, “Diikstra algorithm in parallel- Case study” Proceedings of the 2015 16th international Carpathian Control Conference (ICCC), Szilvasvarad, Hungary, 2015, pp.0-53.

Cite this article

Chen,Z.;Lu,J.;Shang,Y.;Xu,D. (2024). Path planning algorithms of sweeping robots. Applied and Computational Engineering,41,99-105.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

ISBN：978-1-83558-307-4(Print) / 978-1-83558-308-1(Online)
Editor：Mustafa İSTANBULLU
Conference website: https://2023.confmla.org/
Conference date: 18 October 2023
Series: Applied and Computational Engineering
Volume number: Vol.41
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Tan Dingzhong, Wang Qiming, Li Jinshan, Li Lin. (2004). Research and Development Status of Cleaning Robot.

[2]. Cheng Qian, Gao Song, Cao Kai, Chen Chaobo. (2019). Path Planning of Mobile Robot Based on PRM Optimization Algorithm. Journal of Computer Applications and Software, 37(12).

[3]. N. Jasika, N. Alispahic, A. Elma, K. llvana, L. Elma and N. Nosovic,”Dijkstra’s shortestpath algorithm serial and parallel execution performance analysis,” 2012 Proceedingsof the 35th International Convent.

[4]. Bai Zhiqiang, Xin Zhou, Zhang Xueqi. (2022). Research on Robot Path Planning Based on Improved Traditional RRT Algorithm. Machine Building & Automation, pp. 177-179.

[5]. Wang Hao, Fang Lu, Zhuang Kui, et al. (2021). Path Planning of Sweeping Robot Design based on Genetic Algorithm. China-Arab States Science and Technology Forum, 4(3).

[6]. Yan Qin, Tian Zhumei, Ren Guofeng, et al. (2020). Path Planning of Intelligent Sweeping Robot Based on Genetic Algorithm. Journal of Science, 40(3), pp. 5.

[7]. Zhang H., Hong W., and Chen M. (2019). A Path Planning Strategy for Intelligent Sweeping Robots. IEEE International Conference on Mechatronics and Automation (ICMA), Tianjin, China, pp. 11-15.

[8]. Sen K. and Liqiang Z. (2019) A Path Planning Algorithm for Sweeping Robot Based on Improved Neural Network. The 3rd International Conference on Electronic Information Technology and Computer Engineering (EITCE), Xiamen, China, pp. 359-362.

[9]. Ge B., Hu S. and Zheng P. (2020). Research on Full Traversal Path Planning Based on Improved Reciprocating Algorithm. IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), Chongqing, China, pp. 922-926.

[10]. Wang Z., Xie H., Lin Z., Wen T., Guo C. and Chen H. (2020). The Robot Path Planning Algorithm In Indoor Environment. The 46th Annual Conference of the IEEE Industrial Electronics Society, Singapore, pp. 5350-5355.

[11]. Luo B., Huang Y., Deng F., Li W. and Yan Y., (2021). Complete Coverage Path Planning for Intelligent Sweeping Robot. IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC), Dalian, China, pp. 316-321.

[12]. Hasan K. M., Abdullah-Al-Nahid and Reza K. J. (2014) Path Planning Algorithm Development for Autonomous Vacuum Cleaner Robots. International Conference on Informatics, Electronics & Vision (ICIEV), Dhaka, Bangladesh, pp. 1-6.

[13]. P. Bogdan, “Diikstra algorithm in parallel- Case study” Proceedings of the 2015 16th international Carpathian Control Conference (ICCC), Szilvasvarad, Hungary, 2015, pp.0-53.

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