UV*: A Boustrophedon Pattern-Based Path Planning and Optimization Strategy for an Ultraviolet Disinfection Robot

COVID-19’s global spread had numerous negative consequences for the industry. At present, many antivirus products and technologies have been proposed, among which ultraviolet has proven effective does not pollute environment. Most disinfection devices use fixed-point methods disinfection, is very labor-intensive inflexible. Mobile robots are often optimized because movement trajectory of robot optimized, resulting in insufficient areas. This study proposes a heuristic self-optimizing path planning algorithm called UV $^{\ast} $ . generates based on Boustrophedon pattern to achieve full area coverage then optimizes length robot’s through optimization procedure. compares algorithm, Random method, CIRCLES genetic (GA). In , we proposed procedure that can optimize existing algorithms. The experimental results show reach goal coverage, total shorter than Random, CIRCLES, GA,