Papers

16

Total Citations

603

H-Index

10

About

Luis A. Mateos is a leading roboticist whose work spans autonomous surface vehicles, in-pipe inspection robots, and reconfigurable systems, with a focus on solving real-world infrastructure and emergency challenges. His most impactful contribution is the comprehensive survey "Robots Under COVID-19 Pandemic" (262 citations), which documented how robotic and autonomous systems—from disinfection to logistics—became essential during lockdowns, highlighting their intrinsic immunity to biological threats. Mateos also pioneered urban waterway autonomy with the Roboat project (108 citations), developing a novel localization system using extended Kalman filters for robust navigation in narrow, reflective canals. His design of a highly maneuverable autonomous boat with nonlinear model predictive control (98 citations) enables precise trajectory tracking, while his autonomous latching system (40 citations) allows multiple boats to dynamically form floating infrastructure like bridges or markets. Earlier, Mateos contributed to water infrastructure maintenance through the DeWaLoP in-pipe robot, creating stability controllers and remote control systems for repairing aging pipes in cities like Vienna. His work on AprilTags 3D (10 citations) advances pose estimation in challenging reflective environments, supporting swarm robotics. With over 580 total citations, Mateos’s research directly addresses pressing societal needs, from pandemic response to urban waterway transport and pipe rehabilitation, demonstrating a career dedicated to practical, high-impact robotics.

Research Focus

Key Achievements

10
H-Index
16
Papers
603
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Robots Under COVID-19 Pandemic: A Comprehensive Survey
262 citations · 2020
📈 Most Prolific Year: 2013 (4 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: California Institute of Technology, Massachusetts Institute of Technology, Vassar College, TU Wien

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago