Designing of optimised rescue robot using fuzzy inference system

Abstract

The objective of this work is two-fold. First, this work focuses on detection of alive Homo sapiens. Second, it focuses on obstacle detection and collision avoidance. The main aim of this work is to maintain both needs simultaneously. To define the path more precisely, fuzzy set theory is used which tackle with the intermediate values of direction. A Sugeno fuzzy controller algorithm is used which takes three inputs labelled as obstacle position obtained through ultrasonic sensor, obstacle distance through IR sensor and CO2 sensor for finding presence of carbon-dioxide. The work is evaluated on different parameters. As compare to other rescue robots, the number of passes used by our proposed rescue robot is comparatively lesser. The other parameter is wheel computation which is used for measuring the motion. The proposed rescue robot is more flexible while determining its optimising path.