Abstract
Many of the equipment and machines we use in our everyday lives have changed due to major advancements in today's technology. Smartphones, which have made great progress especially in the last decade, perform many tasks in addition to interpersonal communication. Controlling robots, which are increasingly used in daily life and widely included in the literature, is one of these tasks. In this study, the pure pursuit algorithm was used to control the position of a non-holonomic differential drive mobile robot, and the path information to be tracked was received from an Android mobile device as a reference. An application design has been carried out for Android devices. The information for the path drawn here was transferred via the internet to a Google Spreadsheet. Coordinate information obtained from Google tables in MATLAB was separated as x and y axis information and entered into MATLAB/Simulink as waypoints of the pure pursuit algorithm and the position control of the robot was carried out. Error analysis was made by taking the differences between the reference path and the actual movement and the control performance was examined. Additionally, the effect of the approach distance value of the pure pursuit algorithm on the error is presented.
Publisher
Dicle Universitesi Muhendislik Fakultesi Muhendislik Dergisi
Reference28 articles.
1. [1] B. Tang, Z. Zhu, and J. Luo, “Hybridizing Particle Swarm Optimization and Differential Evolution for the Mobile Robot Global Path Planning,” International Journal of Advanced Robotic Systems, vol. 13, no. 3, p. 86, Jan. 2016, doi: https://doi.org/10.5772/63812.
2. [2] M. N. A. Wahab, S. Nefti-Meziani, and A. Atyabi, “A comparative review on mobile robot path planning: Classical or meta-heuristic methods” Annual Reviews in Control, Oct. 2020, doi: https://doi.org/ 10.1016/ j.arcontrol .2020 .10.001.
3. [3] S. Lin, A. Liu, J. Wang, and X. Kong, “A Review of Path-Planning Approaches for Multiple Mobile Robots,” Machines, vol. 10, no. 9, p. 773, Sep. 2022, doi: https://doi.org/10.3390/machines10090773.
4. [4] F. Gul, I. Mir, L. Abualigah, P. Sumari, and A. Forestiero, “A Consolidated Review of Path Planning and Optimization Techniques: Technical Perspectives and Future Directions,” Electronics, vol. 10, no. 18, p. 2250, Sep. 2021, doi: https://doi.org/10.3390/electro nics10182250.
5. [5] C. Liu, J. Zhao, and N. Sun, “A Review of Collaborative Air-Ground Robots Research,” Journal of Intelligent and Robotic Systems, vol. 106, no. 3, Oct. 2022, doi: https://doi.org/10.1007/s10846-022-01756-4.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Indoor Gas Mapping Using Ultra-Wideband Based Mobile Robot;2024 International Seminar on Intelligent Technology and Its Applications (ISITIA);2024-07-10