Study on Cabot ’ s Arms for Color , Shape , and Size Detection

INTRODUCTION With the recent and continued improvement of science and technology nowadays, human living standards have been enhanced worldwide [19] . It has likewise improved economic growth and life anticipation [15] . Therefore, with such progress, human beings' work habits have changed considerably universally [16] . The use of robots in several fields, such as military combat, industrial production, and many other applications in recent years, has received extensive consideration [1, 20] . To minimize labor costs, production time, and possible dangers in different types of risky tasks, the usage of robots is also encouraged [2] . For example, robotic arms are now often employed in many cases to execute jobs that humans cannot or will not undertake due to the high risk surrounding their environment [17] . Besides, to assist disabled or elderly people, computer vision-based robotic arms have been utilized in recent times [3] . Computer vision is a current improvement in the field of artificial intelligence (AI), and it is widely employed in industrial automation, detection, automated technology, and object identification [21, 22] . Picking and placing products faultlessly with unswerving motions is important in an industrial setting [4] . Additional control systems, such as joysticks or controllers, and even manual programming are now used to maneuver the erudite robotic arm [5] . The robotic system may offer a range of devices (sensors) such as temperature, radiation, color, weight, and so on [23] . Nevertheless, there is a growing propensity to substitute all of these sensors with a single-lens camera and computer vision approaches to perform the responsibilities independently with enhanced precision [24] . In this method, an innovative control method is employed using computer vision to drive a robotic arm [25] . Thanks to artificial intelligence and computer vision methods, a costefficient, user-friendly, and highly efficient robotic arm can be built using such methods [26] . Artificial intelligence and computer vision have been brilliantly used to operate complex robotic systems in a variety of works. For example, in a new work [6] , the authors designed an automated robotic arm-based assistance device by employing simple stereo matching and Q-learning optimization methods. This proposed device can perform five degrees of operation in a single instance and detect any object with the aid of stereo vision. The system likewise keeps track of an object's parameters. The stereo camera can recognize RGB color. In this work, the Q-learning framework [29] is employed to control the position of the robot’s arm. Lastly, the paper presented experiments to detect an object's stereo vision and feature point. The downfall of this research is that it did not specify the precise distance between the objects. In [7] , the authors present a Abstract Due to their user-friendliness and meticulousness, the various aspects of human workplaces have been influenced by Cabot’s. Currently, industrial activities have become more computerized, increasing proficiency while simultaneously plummeting human labor, production time, and the great risks involved in the process. With the recent developments in technology, electronic technology has advanced, and the definitive aim of such technological developments is to make robotic systems as human-like as possible. Due to this blessing of technological advances, Cabot’s will perform jobs far more proficiently than humans in challenging or critical situations in which humans cannot work. In this paper, various papers have been reviewed, and we have seen the impacts and challenges of using Cabot’s over human beings.