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More Effective Robotic UV Disinfection of Objects Through Human Guidance

Published:11 March 2024Publication History

ABSTRACT

Ultraviolet-C (UV-C) robot irradiation is a promising approach for disinfecting surfaces contaminated by pathogens in healthcare settings. However, limitations exist with current UV disinfection robots, including coverage for complex surface geometries. This research presents a system for human-guided robotic UV disinfection that uses empirical sensor measurements rather than relying on high-accurate models for UV map coverage. Human guidance is integrated into the methodology to enhance disinfection, aiding in addressing complex shaped objects and topologies. Further, a validation test confirmed that our estimation approach reliably underestimates the UV exposure, which is beneficial for ensuring thorough disinfection. Initial pilot studies demonstrated that while autonomous disinfection was effective for simple objects like tabletops, human-guided disinfection, especially with feedback, improved coverage and speed for complex shapes like mugs. Combining human intuition with autonomy shows promise for enhancing robotic disinfection effectiveness.

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    • Published in

      cover image ACM Conferences
      HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
      March 2024
      1408 pages
      ISBN:9798400703232
      DOI:10.1145/3610978

      Copyright © 2024 Owner/Author

      This work is licensed under a Creative Commons Attribution International 4.0 License.

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      Association for Computing Machinery

      New York, NY, United States

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      • Published: 11 March 2024

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