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About

Fabian Arzberger is a robotics and mobile mapping researcher whose work sits at the intersection of autonomous systems, pose estimation, and planetary exploration. His research focuses primarily on spherical robotic platforms, investigating their unique advantages for mobile mapping in challenging environments — from human-made structures to extraterrestrial terrain. Arzberger's most influential contribution, "IMU-based pose-estimation for spherical robots with limited resources" (2021, 13 citations), established foundational methods for enabling accurate localization on resource-constrained spherical robots. This work, alongside his broader exploration of spherical robots for mobile mapping (8 citations), has helped legitimize an underexplored robot form factor with compelling protective and navigational properties. His involvement in the ESA-connected DAEDALUS mission concept (5 citations) represents a particularly noteworthy achievement, applying spherical robotics to the exploration of lunar lava tubes — one of the most challenging frontier environments imaginable. His 2023 Delta Filter work further advances robust real-time visual-inertial pose estimation for these systems. Rounding out his portfolio, Arzberger has contributed to LiDAR-based 3D mapping for search-and-rescue applications and human-robot interface design for planetary surface operations. With a growing citation record across robotics, space exploration, and sensor fusion, he represents an emerging voice in next-generation autonomous mobile systems research.