Emmanuel Bacher
Papers
3
Total Citations
12
H-Index
2
About
Emmanuel Bacher is a researcher at the forefront of optical tactile sensing and LIDAR-based human-robot interaction. His work centers on developing novel touch and pressure detection systems that leverage direct time-of-flight (dToF) measurements, moving beyond traditional total internal reflection (TIR) methods. Bacher’s most notable contribution is the introduction of **OptoSkin**, a groundbreaking LIDAR touch sensor that uses wave guides for precise surface localization and pressure feedback. This work, published in 2024, has already garnered 8 citations, signaling its significance in the field. He has also conducted comprehensive evaluations of material optical properties in dToF LIDAR tactile sensing, providing critical insights for designing robust, real-world robotic skins. By addressing the limitations of complex infrared setups, Bacher’s research paves the way for more reliable, compact, and cost-effective sensors essential for collaborative robotics. His achievements are particularly relevant for students and engineers interested in the intersection of optics, materials science, and robotics, offering a clear path toward safer and more intuitive human-machine interfaces.
Research Focus
Key Achievements
Top Papers
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