CONSTRUCTING AN OPTIMAL ROUTE FOR A MOBILE ROBOT USING A WAVE ALGORITHM
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DOI:
https://doi.org/10.5281/zenodo.12731955Keywords:
Mobile Robot, Route Construction, Wave Algorithm, Python, Manufacturing Innovation, Industrial Innovation.Abstract
The article proposes the construction of an optimal route for a mobile robot using a wave algorithm. A mathematical description of the use of the wave algorithm is presented. The development of a program in Python is described. The authors describe the developed prototype of a mobile robot. Experiments have been carried out. The analyzed results show a fairly good speed of completion of the developed route.
References
Yevsieiev, V., Maksymova, S., & Abu-J, A. (2024). The Canny Algorıthm Implementatıon for Obtaınıng the Object Contour ın a Mobıle Robot’s Workspace ın Real Tıme. Journal of Universal Science Research, 2(3), pp. 7-19.
Yevsieiev, V., Abu-Jassar, A., & Maksymova, S. (2024). Object Recognition and Tracking Method in the Mobile Robot’s Workspace in Real Time. Technical Science Research In Uzbekistan, 2(2), pp. 115-124.
Yevsieiev, V., Samariddin, S. M., Starodubtsev, N., & Abu-Jassar, A. (2024). Active Contours Method Implementation for Objects Selection in the Mobile Robot’s Workspace. Journal of Universal Science Research, 2(2), pp. 135-145.
Yevsieiev, V., Maksymova, S., & Demska, N. (2024). Using Contouring Algorithms to Select Objects in the Robots’ Workspace. Technical Science Research In Uzbekistan, 2(2), pp. 32-42.
Yevsieiev, V., Abu-Jassar, A., & Maksymova, S. Buıldıng a Traffıc Route Takıng ınto Account Obstacles Based on the A-Star Algorıthm Usıng the Python. Technical Science Research In Uzbekistan, 2(3), pp. 103-112.
Yevsieiev, V., Maksymova, S., & Abu-Jassar, A. Route Plannıng for a Mobıle Robot ın 3D Space Based on an Algorıthm Probabılıstıc Roadmap. Journal of Universal Science Research, 2(4), pp. 22-33.
Maksymova, S., Yevsieiev, V., & Alkhalaileh, A. The Lucas-Kanade Method Implementatıon for Estımatıng the Objects Movement ın the Mobıle Robot’s Workspace. Journal of Universal Science Research, 2(3), pp. 187-197.
Nevliudov, I., Maksymova, S., Klymenko, O., & Bilousov, M. (2023). Development of a Mobile Robot Prototype with an Interactive Control System. Системи управління, навігації та зв’язку. Збірник наукових праць, 3(73), 128-133.
Nevliudov, I., Yevsieiev, V., Maksymova, S., & Chala, O. (2023). A Small-Sized Robot Prototype Development Using 3D Printing. FACULTY OF MECHANICAL ENGINEERING BIALYSTOK UNIVERSITY OF TECHNOLOGY.
Tatino, C., Pappas, N., & Yuan, D. (2020). Multi-robot association-path planning in millimeter-wave industrial scenarios. IEEE Networking Letters, 2(4), pp. 190-194.
Wang, X., Yao, X., & Zhang, L. (2020). Path planning under constraints and path following control of autonomous underwater vehicle with dynamical uncertainties and wave disturbances. Journal of Intelligent & Robotic Systems, 99(3), pp. 891-908.
Xu, Z., Huang, W., & Wang, J. (2022). A wave time-varying neural network for solving the time-varying shortest path problem. Applied Intelligence, 52(7), pp. 8018-8037.
Kim Geok, T., Zar Aung, K., Sandar Aung, M., Thu Soe, M., Abdaziz, A., Pao Liew, C., ... & Yong, W. H. (2020). Review of indoor positioning: Radio wave technology. Applied Sciences, 11(1), p. 279.
Li, Y., Wang, Z., Zhang, W., Lu, Z., Xu, L., & Wang, Z. (2023). Joint correction method for ionospheric phase pollution of high‐frequency sky‐surface wave radar based on adaptive optimal path. IET Radar, Sonar & Navigation, 17(4), pp. 701-718.
Lyridis, D. V. (2021). An improved ant colony optimization algorithm for unmanned surface vehicle local path planning with multi-modality constraints. Ocean Engineering, 241, 109890.
Matrouk, K., Trabelsi, Y., Gomathy, V., Kumar, U. A., Rathish, C. R., & Parthasarathy, P. (2023). Energy efficient data transmission in intelligent transportation system (ITS): Millimeter (mm wave) based routing algorithm for connected vehicles. Optik, 273, 170374.
Cai, X., Zhang, G., Zhang, C., Fan, W., Li, J., & Pedersen, G. F. (2020). Dynamic channel modeling for indoor millimeter-wave propagation channels based on measurements. IEEE Transactions on Communications, 68(9), pp. 5878-5891.
Zhang, J., Huang, Y., Zhou, Y., & You, X. (2020). Beam alignment and tracking for millimeter wave communications via bandit learning. IEEE Transactions on Communications, 68(9), pp. 5519-5533.
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