Mobile Robot Path Planning Optimization by Artificial Bee Colony

The main goal of this paper is to set a new approach in optimizing the problem of path planning for an autonomous mobile robot in static and dynamic environments. The development of computing and information technology has made life easier for people in many areas. With the increase in computing power, new branches of science have developed, such as artificial intelligence, machine learning, and deep learning. As this is an area that is developing very fast, so has its application in various spheres of society. Currently, robots are considered an important element in society. This is due to the relief of humans by robots in basic and dangerous conditioning. Still, designing an effective navigation strategy for mobile robots and ensuring their securities are the most important issues in autonomous robotics.