Papers
48
Total Citations
1,101
H-Index
19
About
Javier Monroy is a prominent robotics researcher whose work sits at the intersection of mobile robotics, machine olfaction, and autonomous navigation. Best known for his pioneering contributions to robot olfaction, Monroy has fundamentally advanced how robots perceive, model, and respond to chemical environments. His landmark simulation framework GADEN (2017, 115 citations) revolutionized the field by enabling realistic 3D gas dispersion modeling within the ROS ecosystem, giving researchers a powerful tool to validate olfactory algorithms before real-world deployment. Complementing this, his work on gas distribution mapping — including probabilistic and time-variant approaches — has provided mobile robots with sophisticated environmental awareness, accumulating over 130 citations across multiple studies. Monroy has also tackled the longstanding hardware limitations of metal oxide semiconductor sensors, developing innovative multi-chamber electronic nose designs and system-modeling approaches to overcome notoriously slow sensor recovery times, work that collectively attracted nearly 190 citations. Beyond olfaction, he has contributed meaningfully to robot navigation, LiDAR-based odometry, and semantic sensor fusion. His involvement in the MoveCare project (2022, 62 citations) demonstrates a broader commitment to socially impactful robotics for elderly care. With over 700 cumulative citations across his most-cited works alone, Monroy stands as a defining figure in autonomous robot sensing research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Time-variant gas distribution mapping with obstacle information101 citations · 2015
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- 6Planar odometry from a radial laser scanner. A range flow-based approach55 citations · 2016
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- 10A Kalman filter based approach to probabilistic gas distribution mapping35 citations · 2013