Luca Carlone
Decision Systems (United States), Technion – Israel Institute of Technology, Georgia Institute of Technology, Massachusetts Institute of Technology, American Institute of Aeronautics and Astronautics, Politecnico di Torino, University of Minnesota, Vaughn College of Aeronautics and Technology
Papers
124
Total Citations
8,380
H-Index
38
About
Luca Carlone is a leading robotics researcher whose work has fundamentally shaped the field of autonomous spatial perception, with particular expertise in simultaneous localization and mapping (SLAM), robust geometric estimation, and multi-robot systems. His landmark 2016 survey on SLAM — now cited over 3,150 times — remains one of the most authoritative references in robotics, charting the field's evolution and defining its future challenges. Carlone has made transformative contributions to robust perception, developing mathematically rigorous methods such as Graduated Non-Convexity for outlier rejection and the SE-Sync algorithm, which provides certifiably correct solutions to geometric estimation problems. His Kimera-Multi and LAMP systems demonstrate how these theoretical advances translate into real-world multi-robot mapping in demanding environments, including underground settings tested through DARPA's SubT Challenge. More recently, his work on 3D scene graphs via the Hydra system pushes autonomous robots toward richer, semantically aware environmental understanding. With multiple papers exceeding 150 citations and a research portfolio spanning foundational theory to field deployment, Carlone has established himself as one of the most influential figures in modern robot perception and state estimation.
Research Focus
Key Achievements
Top Papers
- 1Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age3,158 citations · 2016
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- 8Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge176 citations · 2023
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