Ruben Mascaro
Papers
10
Total Citations
419
H-Index
8
About
Ruben Mascaro is a leading researcher at the intersection of robotics, autonomous construction, and spatial perception. His work is defined by two major thrusts: enabling robust state estimation and navigation for agile robots, and pioneering on-site robotic construction using unstructured, locally sourced materials. His most cited work, "GOMSF" (128 citations), introduced a decoupled graph-optimization framework for multi-sensor fusion, achieving high-rate pose estimation critical for UAV autonomy. In a groundbreaking shift toward sustainable construction, Mascaro’s "Autonomous dry stone" (60 citations) and its subsequent framework (46 citations) demonstrated the first fully robotic pipeline for dry stone walling using on-site stones—a carbon-reducing alternative to prefabrication. He has also advanced dense 3D mapping with "Voxfield" (52 citations), a non-projective signed distance field approach for online planning and reconstruction, and developed "T-PRM" (44 citations) for path planning in dynamic environments. His contributions to semantic scene understanding, including instance-level mapping and sim-to-real domain transfer, further underscore his impact. With over 400 total citations, Mascaro is shaping a future where robots build sustainably and navigate complex, unstructured worlds autonomously.
Research Focus
Key Achievements
Top Papers
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- 2Autonomous dry stone60 citations · 2020
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- 9Scene Representations for Robotic Spatial Perception7 citations · 2024
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