Papers
14
Total Citations
216
H-Index
8
About
Andreu Corominas Murtra is a leading researcher in mobile robotics, specializing in autonomous navigation, localization, and sensor fusion for robots operating in complex, real-world environments. His most influential work, "Autonomous navigation for mobile service robots in urban pedestrian environments" (51 citations), developed a fully autonomous navigation system for Segway-based service robots, enabling them to navigate crowded city streets using planar lasers—a foundational contribution to urban robotics. He further advanced in-pipe inspection robotics with a novel IMU and cable encoder data fusion technique for localization (39 citations), addressing the challenges of narrow, dark sewer networks. Corominas Murtra also made significant strides in active global localization, proposing efficient frameworks for large, cooperative environments (21 and 18 citations). Notably, he led the development of WOLF (13 citations), a modular C++ estimation framework based on factor graphs, which provides a versatile tool for robotics state estimation. His work on map-based navigation and geographical information systems (23 citations) has been instrumental in bridging robotics with geospatial data. With over 200 total citations, Corominas Murtra’s contributions have directly impacted service robotics, infrastructure inspection, and open-source estimation tools, making him a key figure in autonomous navigation research.
Research Focus
Key Achievements
Top Papers
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- 2IMU and cable encoder data fusion for in-pipe mobile robot localization39 citations · 2013
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- 6Autonomous navigation for urban service mobile robots14 citations · 2010
- 7WOLF: A Modular Estimation Framework for Robotics Based on Factor Graphs13 citations · 2022
- 8Map format for mobile robot map-based autonomous navigation9 citations · 2007
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