[Project] SMapper: A Multi-Modal Data Acquisition Device

May 2025 - January 2026

Affiliation: Research Mentor/Advisor, SnT — University of Luxembourg

Target Audience: Robotics Research Communities

Project Ecosystem: GitHub | Paper

  • A Multi-Modal Data Acquisition Device: complete, replicable ecosystem designed to solve the reproducibility crisis in spatial AI.
  • Spatio-Temporal Sensor Synchronization: integrates fully synchronized LiDAR, multi-camera arrays, and inertial (IMU) sensing layers backed by a precise hardware-level alignment pipeline.
  • Modular Open-Hardware CAD Design: offers a compact physical chassis supporting both mobile handheld execution and steady robot-mounted configurations.
  • Comprehensive State-of-the-Art Benchmarking: evaluates rigorous baseline metrics across top-tier modern LiDAR and visual SLAM software frameworks.
  • 💡 Stack: ROS2, C++, Python, CAD
P.M. Bastos Soares, A. Tourani, M. Fernandez-Cortizas, A. Bikandi-Noya, H. Voos, and J.L. Sanchez-Lopez, "SMapper: A Multi-Modal Data Acquisition Platform for SLAM Benchmarking," Journal of Intelligent & Robotic Systems, vol. 112, no. 20, 2026.
DOI: 10.1007/s10846-026-02351-7