Design and implementation of a low-cost mobile robot prototype for trajectory tracking and robotic swarm tasks in research and educational applications
Donovan A. Porras Minaya, Alejandro J. Arocutipa Zambrano, Joel A. Chura, Jorge L. Huarca
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引用次数: 0
Abstract
This work presents the design and implementation of a low-cost mobile robot prototype for trajectory tracking and robotic swarm tasks, aimed at research and educational applications. The robot is equipped with encoders for precise movement control and features wireless communication capabilities, enabling multiple robots to operate together using the ESP-NOW (Espressif’s proprietary wireless protocol) protocol. The input for calculating the trajectory is provided by a camera positioned 1.5 meters away, which analyzes the environment and supplies the necessary data for tracking. The system’s performance was validated through trajectory-following tests, where the robot navigated around several obstacles. The A* algorithm was implemented to calculate optimal paths and avoid collisions, ensuring smooth navigation. The results demonstrated the robot’s ability to effectively handle multiple obstacles while maintaining precise trajectory tracking. This prototype offers an affordable solution for educational and research purposes, particularly in multi-robot systems and the study of pathfinding algorithms. Future research can explore the integration of additional sensors and the optimization of the behavior of the swarm.
HardwareXEngineering-Industrial and Manufacturing Engineering
CiteScore
4.10
自引率
18.20%
发文量
124
审稿时长
24 weeks
期刊介绍:
HardwareX is an open access journal established to promote free and open source designing, building and customizing of scientific infrastructure (hardware). HardwareX aims to recognize researchers for the time and effort in developing scientific infrastructure while providing end-users with sufficient information to replicate and validate the advances presented. HardwareX is open to input from all scientific, technological and medical disciplines. Scientific infrastructure will be interpreted in the broadest sense. Including hardware modifications to existing infrastructure, sensors and tools that perform measurements and other functions outside of the traditional lab setting (such as wearables, air/water quality sensors, and low cost alternatives to existing tools), and the creation of wholly new tools for either standard or novel laboratory tasks. Authors are encouraged to submit hardware developments that address all aspects of science, not only the final measurement, for example, enhancements in sample preparation and handling, user safety, and quality control. The use of distributed digital manufacturing strategies (e.g. 3-D printing) is encouraged. All designs must be submitted under an open hardware license.