IBA: Intelligent bug algorithm – a novel strategy to navigate mobile robots autonomously

Abstract

This research proposes an intelligent obstacle avoidance algorithm to navigate an autonomous mobile robot. The presented Intelligent Bug Algorithm (IBA) over performs and reaches the goal in relatively less time as compared to existing Bug algorithms. The improved algorithm offers a goal oriented strategy by following smooth and short trajectory. This has been achieved by continuously considering the goal position during obstacle avoidance. The proposed algorithm is computationally inexpensive and is easy to tune. The paper also presents the performance comparison of IBA and reported Bug algorithms. Simulation results of the robot navigation in an environment with obstacles demonstrate efficacy and performance of the improved algorithm.