An Approach for Object Finding Using Mobile Robots Based on ACO
In this paper, the authors propose Ant Colony Optimization (ACO) for mobile robot. This paper describes the analysis and design of a new class of mobile robots. These small robots are intended to be simple and inexpensive, and will all be physically identical, thus constituting a homogeneous team of robots. They derive their usefulness from their group actions, performing physical tasks and making cooperative decisions as a Coordinated Team. This method based on heuristic concept is used to obtain global search. Since the proposed method is very efficient, thus it can perform object finding very quickly. In the process of doing so, they first use ACO to obtain the shortest obstructed distance, which is an effective method for arbitrary shape obstacles.