An Effective Track Designing Approach for a Mobile Robot

Abstract

Advancements of technology in day to day life demands upgradation in the existing soft computing approaches, for enhancing the accuracy. So, the existing particle swarm optimization (PSO) has been upgraded in this article and the new approach is adaptive particle swarm optimization (APSO). Designing an effective track which is shorter in length, takes less travel time, computation time, smooth, feasible and has zero collision risk with obstacles is always a crucial issue. To solve these issues APSO approach has been adopted in this work. A static environment has been implemented in this article for conducting the simulation study. Fifteen numbers of obstacles have been taken into consideration for designing the environment. A comparability study has been stuck between PSO and APSO to recognize the fittest approach for track design (less track size and travel time) with the shortest computation time. The APSO approach is identified as the best suited track designing tool for mobile robots.