Stefan Schantl
Papers
1
Total Citations
11
H-Index
1
About
Stefan Schantl is a researcher at the forefront of visible light sensing (VLS) and its integration with machine learning for robotic and industrial applications. His work explores how LED-based lighting can be repurposed beyond illumination into a platform for communication, positioning, and intelligent sensing. In his most-cited paper, "Machine Learning Assisted Visible Light Sensing of the Rotation of a Robotic Arm" (2021, 11 citations), Schantl demonstrates how VLS can accurately monitor robotic motion using ambient light, eliminating the need for traditional sensors. This contribution is pivotal for advancing smart manufacturing and human-robot collaboration. By merging optical wireless communication with artificial intelligence, Schantl’s research opens new pathways for low-cost, energy-efficient sensing systems. His work is notable for bridging the gap between lighting infrastructure and cyber-physical systems, offering scalable solutions for Industry 4.0. With growing interest in sustainable and non-invasive sensing technologies, Schantl’s contributions are increasingly recognized as foundational in the emerging field of visible light sensing.
Research Focus
Key Achievements
Top Papers
- 1