A Survey on Robot Path Planning using Bio-inspired Algorithms

Abstract

The path planning problem has been an essential topic in autonomous robotics. There are many new path planning methods that have been developed, and those using bioinspired algorithms attract extensive attention. This paper analyzes several bio-inspired algorithms and surveys recent developments of robot path planning. Swarm intelligence, evolutionary algorithms, and neurodynamics are three primary robot path planning methods that are focused on in this survey. In addition, the pros and cons of these three methods are summarized and analyzed.