Design of Path Planning Robot Based on Machine Vision
DOI:
https://doi.org/10.54097/hset.v12i.1451Keywords:
Robot, Arduino, Path Planning, MachineLearning.Abstract
We established a path planning mobile robot system based on machine vision. The robot has multiple sensors to scan for obstacles. After catching the images, the robot will greyscale, process the images and find the most efficient path based on the ant colony algorithm. Finally, the robot will reach the destination with the corporation of motors and other components under the control of the motherboard. Simulations prove that the path planning mobile robot can find the most efficient way with censors and programs, and it can also reach its destination with the cooperation of the moving components.
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References
LI Zongping, WANG Shaokun, ZHANG Ning, et al. Design and experiment of current source based on single chip micro⁃computer [J]. Research and exploration in laboratory, 2021, 36 (1): 49⁃53.
CHEN Guangrong. Development of digitally⁃controlled DC cur⁃rent source based on single ⁃ chip microcomputer [J]. Modern electronics technique, 2019, 36 (8): 153⁃156.
LIU Ximing. Smart robot management system based on Internet of Things bluetooth remote control technology [J]. Digitalspace, 2018 (12): 195.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
