PSO-optimized line following mobot platform implemented with fuzzy sensor inputs in low-level motor control

• Main Authors: Cadacio, Jesse Emmanuel C., Capuno, John Paulo T., Oropesa, Ronell C., Palero, David Jonathan N., Sevesa, Kristelle Mae O.
• Format: text
• Language: English
• Published: Animo Repository 2010
• Subjects: Mobile robots; Robots > Control systems; Intelligent control systems
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/14673
• Institution: De La Salle University

Automation of many of today's processes is a growing trend in the field of computer and electronics today. Such automation makes processes simple, fast, and eventually improves efficiency. This paper studies and implements an automation scheme in mobile robot controls. Using a line following mobile robot, MOBOT, as a platform for the study, the researchers integrates three important control schemes, namely as Particle Swarm Optimization, Fuzzy Logic, and Low Level Motor Control, to optimized the speed and performance of the mobot. In this study, the researchers focused on developing a system that combines the three control schemes to further improve the line tracking mobile robot performance. The researchers also envisions the optimized mobile robot platform to be used by the University, students and faculty, as a platform in creating other automated systems in the future.