Levin D. Manuel
Papers
1
Total Citations
6
H-Index
1
About
Levin D. Manuel is a rising innovator at the intersection of robotics, artificial intelligence, and public health engineering. His primary research focuses on developing intelligent autonomous systems for disinfection and environmental safety, leveraging computer vision and fuzzy logic control. His most-cited work, the "Arduino-based Line Tracking Smart Robot Car Equipped with YOLOv3 and Fuzzy Logic Controlled Ultraviolet Sterilizer" (2022, 6 citations), addresses the growing need for automated surface disinfection against airborne pathogens like Staphylococcus aureus. By integrating YOLOv3 object detection with fuzzy logic-controlled UV sterilization on a line-tracking platform, Manuel created a practical, low-cost solution for sanitizing high-touch surfaces. This work demonstrates his ability to merge embedded systems, AI, and real-world health challenges. Though early in his career, his contributions signal a promising trajectory in applied robotics for infection control, offering scalable tools for hospitals and public spaces. His research stands as a testament to how accessible technologies like Arduino can be harnessed for critical public health interventions.
Research Focus
Key Achievements
Top Papers
- 1