iMarkers for Advanced Robotics

Project Card

  • Category: Robotics
  • Date: Since April 2022
  • Affiliation: Doctoral Researcher, SnT, University of Luxembourg, Luxembourg
  • Stack: C++, Python, ROS, OpenCV

A new generation of fiducial markers for robotics and Augmented Reality (AR) applications that are invisible or barely-visible to humans but visible for robots, as part of an interdisciplinary project with the Physics and Material Science Group at the University of Luxembourg. The results are published in the papers referenced below:

H. Agha, Y. Geng, X. Ma, D. Avşar, R. Kizhakidathazhath, Y.S. Zhang, A. Tourani, H. Bavle, J.L. Sanchez-Lopez, H. Voos, M. Schwartz, and J. P.F. Lagerwall, "Unclonable Human-invisible Machine Vision Markers Leveraging the Omnidirectional Chiral Bragg Diffraction of Cholesteric Spherical Reflectors," Light: Science & Applications (Nature Publications), vol. 11, no. 309, 2022, DOI: 10.1038/s41377-022-01002-4.

A. Tourani, H. Bavle, J. L. Sanchez-Lopez, R. Munoz-Salinas, and H. Voos, "Marker-based Visual SLAM leveraging Hierarchical Representations," Proceeding of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'23), pp. 3461-3467, Detroit, MI, USA, 2023, DOI: 10.1109/IROS55552.2023.10341891.