@inproceedings{b277d6798f3e463989d9c1b3cef07a10,
title = "Microcontroller-Based Multi-Objective Genetic Algorithm for Mobile Robots Path Planning",
abstract = "Path planning is a fundamental task for a mobile robot. Path planning is an attempt to find the most effective route from the starting point of the mobile robot's position to a certain destination. Some of the commonly used path planning methods are the A ∗ algorithm, Djikstras algorithm, D∗ algorithm, and others. Apart from these methods, there are metaheuristic methods such as multi-objective genetic algorithms. This method adopts the principles of natural selection and Darwin's theory of evolution. However, this method has the disadvantage that it requires a large enough memory and a fast processor. Mobile robots usually use microcontrollers with limited memory and low-end processors. This study proposes a micro controller-based multi-objective genetic algorithm for path planning on mobile robots. The multi-objective genetic algorithm will be applied to the Atmega32Sp microcontroller to find the shortest path length and the least number of turns.",
keywords = "Path planning, microcontroller, moGA",
author = "Rijalul Haq and Djoko Purwanto and Ronny Mardianto",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd International Conference on Electronic and Electrical Engineering and Intelligent System, ICE3IS 2023 ; Conference date: 09-08-2023 Through 10-08-2023",
year = "2023",
doi = "10.1109/ICE3IS59323.2023.10335453",
language = "English",
series = "Proceedings - 2023 3rd International Conference on Electronic and Electrical Engineering and Intelligent System: Responsible Technology for Sustainable Humanity, ICE3IS 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "122--126",
booktitle = "Proceedings - 2023 3rd International Conference on Electronic and Electrical Engineering and Intelligent System",
address = "United States",
}
