A novel algorithm for integrated control model using swarm robots for intruder detection and rescue schedules

Abstract

Due to the development of computer controlled tools and expansion of integrated computing applications, more and more controller functions are turning to software implementations. A novel controlling algorithm is designed for continuous optimization tasks. However, they are used to thoroughly optimize and apply different areas. The most intelligent swarm algorithms have been designed for continuous optimization problems. However, they have been applied to discreet optimization and applications in different areas. This article gives experimental results on the control of swarm robots with the help of integrated control model (ICM), around its own axis. Such methodology is quite impressive in development of applications for surveillance, path planning, intruder and obstacle detection, model errors in communication to remove uncertainty. The ICM control design performance is based on comprehensive swarm robot model for the identification of actuators from testing data. The same ICM controllers are designed to be compared with the PID controllers in a variety of tests and collected feedback found 12.37%, 8.69% and 12.09% improved on the basis of thrust produced in the propellers for surveillance.

A Review Paper on Mobile Robots Applications in Search and Rescue Operations

“…Since swarm robots can be affected by nonlinearity and uncertainty, the effectiveness of ICM is much superior than that of regular PID controller approaches in terms of accuracy and precision with disturbance rejection. [8] Summary of rescue operation based swarm robots:…”