Shortest Distance Maze Solving Robot

• Published in: 2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS) pp. 283 - 286
• Main Authors: Chang, Kuo-Chi, Zhou, Yuwen, Shoaib, Akram Muhammad, Chu, Kai-Chun, Izhar, Muhammad, Ullah, Shafi, Lin, Yuh-Chung
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2020
• Subjects: flood filling algorithm; Floods; Intelligent robots; Intelligent sensors; Low-cost; Programming; Robot learning; Robot sensing systems; Small intelligent robots; Ultrasonic sensor
• DOI: 10.1109/ICAIIS49377.2020.9194913

this study is a kind of low-cost small intelligent robots, which mainly completes tasks automatically according to the set intelligent mode, and does not require any human assistance. It must integrate the wall tracking and flood filling algorithm programming software, and then install and execute the aforementioned programming in the hardware system of the small intelligent robot of the Arduino hardware based. However, technology of this study also needed for high performance and see the hardware chosen to complete this project is Arduino based two-wheel mobile small intelligent robot. A 6.0 × 6.0 physical maze is constructed to confirm and verify the small intelligent robot performance, and simulate the Arduino algorithm program of this study. We draw it using the final optimized path of a total of 30 optimized movement trainings for results. From the path, we can see that the small intelligent robot can obtain The shortest optimized pa th, but because of the limitations of the selected sensors and motor drivers, the path cannot be completed as a straight line, but under the requirements of low cost, it has already met the expected effects of this study.