Terrain Traversability
LiDAR- and IMU-based analysis of terrain roughness for mobile robots operating in unstructured environments.
About
I am a PhD-level robotics engineer specializing in LiDAR-based terrain traversability, roughness estimation, and autonomous rover perception for challenging environments such as mines, caves, and lunar-like terrain. My background combines robotics, AI, and entrepreneurship, with hands-on experience in ROS2, point-cloud processing, IMU-based validation, OpenCV, and experimental robotic platforms.
Research Interests
Planetary Robotics
Autonomous rover perception and navigation concepts for lunar-like and underground exploration scenarios.
Procedural Environments
Frameworks for generating procedural underground environments, including current work on pyroduct-specialized environments.
Selected Projects
LiDAR-Based Terrain Roughness Estimation
Developed methods for estimating terrain roughness using 3D point clouds and IMU-based validation on rover platforms.
ROS2 Traversability Wrapper
Integrated traversability algorithms into a ROS2-compatible robotic software architecture.
Leo Rover Underground Experiments
Worked with a rover equipped with 3D LiDAR and IMU sensors for traversability experiments in mines and caves.
Education
PhD in Planetary Robotics
University of Luxembourg · 2022–2026
Master in Entrepreneurship
UTBM · 2021–2022
Master in Computer Science — AI Specialization
UTBM · 2019–2022
Pre-Engineering Program
CPGE — Mathematics & Physics · 2016–2019
Contact
Interested in robotics, space exploration, underground autonomy, or research collaboration?