Performance analysis of autonomous UV disinfecting robot (UV bot) using Taguchi method

Abstract

As a result of the COVID-19 epidemic, there is a growing demand for robots to perform variousoperations which include service bots, cleaning, and disinfection bots. Viral contaminationhas been one of the major causes of human fatality which has abruptly increased in thissituation. Availability of existing technologies is always surpassed by an effective one so asis the UV-Bot developed in this project. This bot aims for a highly accurate percentage of up to96.8% of germ clearance at pre-defined conditions which are user-friendly. Also, the robot isdesigned in a compact size and effective shape to achieve maximum efficiency. The robot isdeployed in hospital pathway and rooms for disinfection whereas human detection and obstacleavoidance has been included with a custom-developed algorithm that supports autonomousnavigation and corner tracking facility. The robot also supports live streaming of thedisinfecting site with an emergency alarm and stop in human detection. This type of robot ishighly capable of destroying viral infections at a particular point which is validated usingTaguchi analysis and also the robot is 3D modelled and tested using static and dynamicobstacles. Thus UV-Bot is manually controllable or autonomous which uses the A* algorithm to store or retrieve the disinfecting site map which is recorded if used frequently.