This paper explores the field of autonomous navigation, with a focus on the development of an autonomously navigating cleaning robot. The proposed robot is designed to disinfect surfaces using ultraviolet-C (UV-C) light while efficiently navigating its environment. Equipped with advanced sensor hardware, including ultrasonic sensors and a 360-degree rotating Light Detection and Ranging (LiDAR) scanner, the robot can detect obstacles, avoid walls, and ensure non-overlapping cleaning passes. Ultrasonic sensors provide close-range obstacle detection, while the LiDAR system maps the surroundings and enables precise positioning within the cleaning area. If an obstacle disrupts the robot’s path, it will autonomously resume its trajectory once the obstruction is cleared. This system demonstrates significant advancements in autonomous navigation and disinfection technologies. This paper contributes to the ongoing development of efficient, autonomous disinfection systems for diverse applications.

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Design and Implementation of an Autonomous Cleaning and Disinfection Robot

  • Mustafa Ayad,
  • Brandon Kenyon,
  • Nicole Anthony,
  • Pranjal Manchanda

摘要

This paper explores the field of autonomous navigation, with a focus on the development of an autonomously navigating cleaning robot. The proposed robot is designed to disinfect surfaces using ultraviolet-C (UV-C) light while efficiently navigating its environment. Equipped with advanced sensor hardware, including ultrasonic sensors and a 360-degree rotating Light Detection and Ranging (LiDAR) scanner, the robot can detect obstacles, avoid walls, and ensure non-overlapping cleaning passes. Ultrasonic sensors provide close-range obstacle detection, while the LiDAR system maps the surroundings and enables precise positioning within the cleaning area. If an obstacle disrupts the robot’s path, it will autonomously resume its trajectory once the obstruction is cleared. This system demonstrates significant advancements in autonomous navigation and disinfection technologies. This paper contributes to the ongoing development of efficient, autonomous disinfection systems for diverse applications.