Development of path planning of line follower robot with obstacle avoidance based on particle swarm optimization
Ronny Mardiyanto, Andri Suhartono, R. Fauzi Siregar
Institut Teknologi Sepuluh Nopember
Abstract
Research on robotic path planning based on the PSO (Particle Swarm Optimization) method has been widely researched and developed. PSO is an optimization algorithm that aims to find the best solution to find the shortest route by utilizing particle population movements. In this paper, robots are tested by obstruction and without obstruction by route (coordinates X, Y) starting from the coordinate point (1, 1) with the aim of the route at the coordinate point (5, 5). The results of the research were conducted by comparing the computation time and the shortest route distance of the robot to reach the destination point with obstacles and without obstacles.
Keywords: PSO, Robotic Path Planning, Line Follower
Topic: Mechatronics and Robotics Technologies