International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Autonomous UV-C Disinfection Robot with Advanced SLAM Navigation and AI-Powered Safety Systems |
|---|---|
| ABSTRACT | When we started working on this project, we knew indoor disinfection was becoming increasingly critical. Manual chemical-based sanitization methods present numerous challenges: variable cleaning quality dependent on individual thoroughness, worker fatigue, and direct exposure to hazardous substances. Through our research, we discovered that ultraviolet-C radiation (wavelength: 200- 280 nm) effectively inactivates microorganisms by disrupting their genetic material, eliminating the need for chemical agents. However, we recognized a significant challenge: UV-C exposure poses serious health risks to humans, including severe skin and ocular damage. Our team developed a robotic solution using dual microcontroller architecture. We implemented a Raspberry Pi 4 for computational tasks including simultaneous localization and mapping (SLAM), path planning, and vision-based human detection. Simultaneously, we programmed an Arduino Mega for real-time motor control and instantaneous UV safety shutdowns. We integrated LiDAR technology with ultrasonic sensors to enable robust mapping and obstacle navigation. Our camera-based human detection system triggers immediate UV deactivation upon detecting human presence. Through extensive laboratory testing, we achieved smooth navigation, complete area coverage, and measured average safety response times of 0.35 seconds. Our prototype demonstrates that effective automated disinfection systems can be constructed affordably. We believe this solution suits educational institutions, office spaces, and small medical facilities that require regular disinfection but cannot justify the $50,000+ investment in commercial units. |
| AUTHOR | VANDANA S, LIKITHA D, DIVYA SHREE S, VIGNESH M, DR. R. KANAGAVALLI Department of Information Science and Engineering, The Oxford College of Engineering, Bangalore, India Professor and Head, Department of Information Science and Engineering, The Oxford College of Engineering, Bangalore, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312126 |
| pdf/126_Autonomous UV-C Disinfection Robot with Advanced SLAM Navigation and AI-Powered Safety Systems.pdf | |
| KEYWORDS | |
| References | 1. R. Li et al., “Emperor Yu Tames the Flood: Surface Garbage Cleaning Robot Using Improved A* Algorithm in Dynamic Environments,” IEEE Access, 2025. 2. L. Mezai et al., “Design and Implementation of a Disinfecting Mobile Robot Based on a Raspberry Pi 4 Board,” in Proc. ICEEAC, IEEE, 2024. 3. M. M. Hassan et al., “Hybrid Disinfection Robot: A Prototype,” in Proc. IEEE TENSYMP, 2024. 4. D. M. Anton et al., “Study for Autonomous Robot Control Using Different Sensors for Implementing Disinfection Robots,” 2023. 5. O. Al-Awadhi et al., “Developing a Pathogen Sterilization Robot Based on Ultraviolet Radiation,” 2023. 6. J. Wang, Y. Li, and H. Zhang, “Autonomous UV-C Disinfection Robot with Multi-Sensor Navigation and Human Detection,” IEEE Transactions on Automation Science and Engineering, vol. 21, no. 2, pp. 785-797, 2024. 7. S. Kim, D. Lee, and K. Park, “SLAM-Based Indoor Navigation for Autonomous Disinfection Robots,” in Proc. IEEE International Conference on Robotics and Automation (ICRA), 2023, pp. 4521-4527. 8. M. Silva and R. P. Rocha, “Low-Cost UV-C Disinfection Robot Using Arduino and Raspberry Pi,” International Journal of Advanced Robotic Systems, vol. 20, no. 1, pp. 1-12, 2023. 9. F. Zhou, X. Chen, and L. Wang, “Human-Safe Autonomous Disinfection Robots: Design and Implementation,” Robotics and Autonomous Systems, vol. 160, 104426, 2023. 10. M. H. Alsamhi et al., “IoT-Based Indoor Disinfection Robot for Smart Building Applications,” IEEE Internet of Things Journal, vol. 10, no. 7, pp. 5643-5654, 2023. 11. R. Alami et al., “Sensor Fusion for Reliable Obstacle Avoidance in Autonomous Mobile Robots,” IEEE Sensors Journal, vol. 24, no. 3, pp. 1810-1820, 2024. 12. K. Chen, Y. Liu, and J. Xu, “Real-Time Human Detection for Autonomous UV-C Disinfection Systems,” IEEE Access, vol. 12, pp. 23545-23558, 2024. |
