Papers
17
Total Citations
885
H-Index
10
About
Matteo Palieri is a leading robotics researcher specializing in autonomous navigation, simultaneous localization and mapping (SLAM), and multi-robot systems for extreme and perceptually-degraded environments. His work has been central to advancing the frontier of robotic exploration in subterranean settings — including tunnels, caves, and underground structures — where conventional sensing and positioning methods routinely fail. Palieri is perhaps best known for his foundational contributions to the LAMP and LOCUS systems, enabling large-scale, high-precision mapping and lidar odometry for robots operating without GPS. These works, accumulating over 180 and 94 citations respectively, have become key references in the field. His involvement with Team CoSTAR in the prestigious DARPA Subterranean Challenge — a competition that pushed the boundaries of robotic autonomy — yielded multiple high-impact publications and a Phase II victory, demonstrating that his research translates directly into real-world performance. With over 860 cumulative citations across his most recognized works, Palieri's influence spans both theoretical advances and practical deployments on heterogeneous robot platforms, including Boston Dynamics' Spot. More recently, his research has expanded into semantic reasoning for object-goal navigation, reflecting a growing interest in making autonomous robots not just spatially aware, but intelligently purposeful in real-world inspection tasks.
Research Focus
Key Achievements
Top Papers
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- 2Present and Future of SLAM in Extreme Environments: The DARPA SubT Challenge176 citations · 2023
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- 7Present and Future of SLAM in Extreme Underground Environments38 citations · 2022
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