Andrew Saba
Papers
3
Total Citations
78
H-Index
3
About
Andrew Saba is a roboticist whose research advances the frontiers of autonomous systems in extreme, unstructured environments. His work centers on field robotics, multi-robot coordination, and self-supervised learning for off-road navigation. Saba is best known for his contributions to subterranean exploration, where he demonstrated how teams of roving and flying robots can achieve resilient, modular autonomy in GPS-denied, communication-limited underground spaces—a paper that has garnered 50 citations. He also leads the development of TartanDrive 2.0, a landmark off-road driving dataset that provides multi-modal sensor data for self-supervised learning, building on the widely-used TartanDrive 1.0. This work, with 25 citations, is accelerating research in autonomous off-road driving by enabling more robust perception and control without costly human labeling. Saba was a key member of Carnegie Mellon’s Team Tartan, which competed in the MBZIRC 2020 challenge, showcasing rapidly-deployed aerial vehicles capable of mission-level robustness under real-world failures. His research directly addresses the gap between controlled lab settings and the unpredictable demands of real-world deployment, making him a leading voice in practical, resilient autonomy.
Research Focus
Key Achievements
Top Papers
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