Fuzzy — Arduino based control strategy for human safety in industrial robots

Abstract

There are many industries which uses various industrial robots for their production tasks like painting, wielding etc. In the majority industries human and robots shares the same work environment which results chances of accidents between human and robots if robots are not equipped with proper protection. In this paper, a new method is proposed to avoid such collisions between human and robot in automation industries. Most of time while externally adding this safety feature in the industrial robots you have to change either its programming or internal structure. The industrial robots like ABB robots which are widely used in industrial environment don't accept such changes. So this paper uses proximity IR sensors which are applied on ABB's IRB1200 pick and place robot. A controller is demonstrated using fuzzy algorithm implemented in MATLAB Simulink and Ardiuno. Finally RAPID based program helps robot to take proper action based on controller output.