Overcoming the Shadow Challenge in Autonomous UV Disinfection Systems

Abstract

Ultraviolet (UV) disinfection robots have emerged as crucial tools in infection control across healthcare and public environments, yet the persistent challenge of shadowed areas continues to impact their effectiveness. Advanced solutions incorporating artificial intelligence, multi-angle light deployment, and hybrid disinfection technologies are transforming the capabilities of these systems. Path-planning algorithms powered by artificial intelligence now enable dynamic trajectory adjustments to ensure comprehensive coverage, while innovations in multi-lamp articulation and reflector designs address fixed-beam limitations. The integration of complementary technologies, including electrostatic spraying and hydrogen peroxide fogging, enhances overall pathogen eradication capabilities. Performance validation frameworks incorporating radiochromic films and biological indicators ensure reliable operation, while sophisticated safety systems protect operators and occupants. Emerging technologies, including quantum sensors and UV-resistant materials, promise to further enhance system capabilities. These advancements represent significant progress in addressing the shadow challenge, improving disinfection efficacy, and reducing human intervention requirements in critical environments.