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Route Optimization for UVC Disinfection Robot Using Bio-Inspired Metaheuristic Techniques.

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Summary
This summary is machine-generated.

This study optimizes mobile robot navigation using bio-inspired algorithms for efficient surface disinfection with ultraviolet (UVC) light. The methods ensure complete coverage and minimize exposure, enhancing environmental safety against pathogens.

Keywords:
Gazelle optimization algorithm (GOA)bat optimization algorithm (BA)bio-inspired algorithmsdisinfectionmobile robotsparticle swarm optimization (PSO)ultraviolet radiation (UVC)whale optimization algorithm (WOA)

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Area of Science:

  • Robotics and Artificial Intelligence
  • Biomedical Engineering
  • Environmental Science

Background:

  • The COVID-19 pandemic underscored the need for advanced surface disinfection methods.
  • Mobile robots with ultraviolet germicidal irradiation (UVC) offer a promising solution for pathogen inactivation.
  • Optimizing robot navigation is crucial for effective disinfection in complex settings.

Purpose of the Study:

  • To optimize the navigation of differential mobile robots equipped with UVC lamps for efficient disinfection.
  • To ensure maximum UVC coverage while minimizing exposure risks in diverse environments.
  • To evaluate the efficacy of bio-inspired metaheuristic algorithms in robotic disinfection.

Main Methods:

  • Application of bio-inspired metaheuristic algorithms: gazelle optimization, whale optimization, bat optimization, and particle swarm optimization.
  • Optimization of robot coordinates and dwell times at key points for comprehensive disinfection.
  • Simulation and experimental validation of robot trajectory adaptation in various environments.

Main Results:

  • Algorithms successfully adapted robot trajectories to navigate complex environments and avoid obstacles.
  • Sufficient UVC radiation exposure was achieved to deactivate target microorganisms.
  • Demonstrated flexibility and robustness of the bio-inspired approach for autonomous disinfection.

Conclusions:

  • Bio-inspired metaheuristic algorithms significantly enhance the efficiency and safety of UVC disinfection robots.
  • The optimized navigation strategy ensures thorough pathogen deactivation and reduces UVC exposure risks.
  • This approach has broad applicability for disinfecting against various pathogens beyond COVID-19.