Design and Feasibility Study of Cost Efficient Robotic Arm for Object Pick-and-Place Application

Abstract

In this study, our aim is to mimic object picking application with robotic arm from shelves in a warehouse environment, and our goal is to develop a robust, low-cost, and practical robotic arm system for that purpose. The designed robotic arm correctly picks the desired items from shelf locations and place them into desired bins. Fully autonomous robotic arm operation is accomplished using developed algorithms and Arduino microcontroller. The developed system is tested and evaluated in terms of (i) number of items picked-and-placed correctly, and (ii) increase in the number of objects picked-placed under a certain desired time. For performance evaluations, object weight/size capability results, results of maximum load, and required force results are presented.