Papers
6
Total Citations
65
H-Index
4
About
Sildomar T. Monteiro is a leading researcher in robotic perception and autonomous systems, with key contributions spanning geological mapping, multi-modal sensor fusion, and safe autonomy. His pioneering work on integrating laser and hyperspectral data for 3D geological modelling (31 citations) established a foundational framework for mobile robots to build geological maps remotely, directly impacting mining and field robotics. Monteiro further advanced hyperspectral classification through innovative feature selection using particle swarm optimization and kernel methods (10 citations), addressing critical challenges in data complexity and processing cost. His recent research on probabilistic multi-modal depth estimation via camera–LiDAR fusion (9 citations) tackles a core challenge in robust robotic perception, while his work on safe autonomy for uncrewed surface vehicles using adaptive control and reachability analysis demonstrates his commitment to real-world deployment. Monteiro’s development of hyperspectral libraries for autonomous mining systems (12 citations) has been instrumental in enabling material identification through reflectance signatures. Through these contributions, he has shaped the intersection of robotics, remote sensing, and autonomous navigation, with his work cited across geoscience, computer vision, and control engineering communities.
Research Focus
Key Achievements
Top Papers
- 13D geological modelling using laser and hyperspectral data31 citations · 2010
- 2On the development of a hyperspectral library for autonomous mining systems12 citations · 2009
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