Development of a test bench to solve a simple labyrinth
DOI:
https://doi.org/10.32972/dms.2023.016Keywords:
maze, OpenCV, PyCharm, ball labyrinthAbstract
This paper deals with building an automatic test bench for detecting and solving a simple maze. There are many suitable sensors for detecting walls and ball, as find quick and stabile algorithm for deliver the ball to the target. Two servo motor are used to tilt the table of the maze. The first part of the paper shows the experiences of using OV7076 camera with Arduino Nano which was used for the first time to solve the problem. The final version of the maze solver contains a USB camera, an Arduino UNO platform, OpenCV and PyCharm software. Furthermore, paper reveals possibilities of decision-making-process and the direction of following research work.
References
Almadhoun, R., & Zhang, W. (2021). Autonomous vehicle technology: A review of advancements, challenges, and future directions. IEEE Transactions on Intelligent Transportation Systems, 22(4), 2133-2149. https://doi.org/10.1109/TITS.2020.3005637
Kosuru, V., & Venkitaraman, A. (2023). Advancements and challenges in achieving fully autonomous self-driving vehicles. World Journal of advanced Research and Reviews , 18(1), 161-167. https://doi.org/10.30574/wjarr.2023.18.1.0568
Mohammed, I., Al-Dabagh, M., & Rashid, S. (2023). Path discovering in maze area using mobile robot. TELKOMNIKA Telecommunication, Computing, Electronics and Control., 20(2). https://doi.org/10.12928/telkomnika.v20i2.19408
Suryani, V., Agustriana, K., Rakhmatsyah, A., & Pahlevi, R. (2023). Room cleaning robot movement using A* algorithm and imperfect maze. JURNAL INFOTEL, 15(1), 75-81. http://doi.org/10.20895/infotel.v15i1.901
Szabó, M. (2023). Automata golyólabirintus megoldó tervezése. BSc. szakdolgozat. Miskolci Egyetem.
Yan, X., Zeng, Z., He, K., & Hong, H. (2023). Multi-robot cooperative autonomous exploration via task allocation in terrestrial environments 17:1179033. Frontiers Neurorobot, 17. https://doi.org/10.3389/fnbot.2023.1179033
Yu, J., Tong, J., Xu, Y., Dong, H., & Yang, T. (2021). SMMR-explore: submapbased multi-robot exploration system with multi-robot multi-target potential field exploration method. 8779-8758. https://doi.org/10.1109/ICRA48506.2021.9561328
