Shorter Path Generation Scheme for Adaptable Self-Organized

Abstract

Swarm robotics is an approach to the collective robotics that takes inspiration from the self-organized behaviors of social animals. Through simple rules and local interactions, swarm robotics aims at designing robust, scalable and flexible collective behaviors for the coordination of large numbers of robots. Recently, there has been a growing interest in multi-robot systems. This interest is motivated by the fact that inherent parallelism and redundancy make multi-robot systems more robust than single robot systems. Furthermore, a multi-robot system can be versatile enough to generate the different structures and functions required to undertake missions in unknown environmental conditions. Robots are used in many fields, such as cleaning, medical treatment, space exploration, disaster relief and so on. The proposed work introduces path communication scheme from the self-organized robot swarms. The main purpose is to work swarm robots with minimal requirements, such as reducing the time required for finding the path between swarm robots from its self-organized network without long-lived state information. The important features include self-organization, self-healing, topology adaptable and the shorter path selecting from its self-organized neighbors. The proposed work can also be proved that the system can also reduce the processing time by comparing with another path finding algorithm.