Articulated Robot Arm for Garbage Disposal in Hospital Environment

Abstract

The use of robotic arms is crucial in the medical industry, particularly in hospital settings. It can be used for a wide range of things, including as an aide in the operating room or for the removal of medical waste, among many other things. In this work, the robotic arm is designed to segregate medical waste as hazardous or non-hazardous. A dataset with five classes was created because there was no readily available data set for medical waste. The primary challenge in doing so is to programme the robotic arm’s movements and train the image dataset to classify objects as hazardous or non-hazardous. The 3D-printed robotic arm model has 6-Degree of Freedom(DOF) and is coupled with MG996R and SG90 servo motors. The robotic arm that is attached to an Arduino uno board is operated by the Blynk IoT platform. It uses YOLO V5 (You Only Look Once) algorithm to detect objects, and it favours intersection over union (IOU). To demonstrate, static robotic arm model was placed near the pile of medical waste to identify the waste and segregate it accordingly.