Jose‐Luis Blanco

About

José-Luis Blanco is a prominent robotics researcher whose work spans mobile robot localization, simultaneous localization and mapping (SLAM), gas distribution modeling, and robotic sensing systems. His contributions have significantly advanced the field of autonomous mobile robotics, with his ten most-cited papers alone accumulating over 1,300 citations. Blanco's early work on Ultra-Wide-Band ranging and particle filter localization (194 citations) established robust probabilistic frameworks for robot positioning, complemented by his influential hybrid metric-topological SLAM approach (141 citations), which tackled large-scale mapping with impressive Bayesian rigor. His kinematic studies of skid-steer robots (182 citations) provided practical solutions for real-world motion control without prohibitive computational overhead, while his curated outdoor robotics dataset (168 citations) became a valuable benchmark resource for the community. Particularly noteworthy is his interdisciplinary work bridging robotics and chemical sensing, including the widely adopted Kernel DM+V algorithm for gas distribution mapping (153 citations) and innovative solutions addressing the notorious slow recovery problem of metal oxide gas sensors. Blanco has also demonstrated a commitment to robotics education, developing accessible LEGO Mindstorms-based curricula for undergraduate engineering students, reflecting both his technical depth and dedication to nurturing the next generation of researchers.

Research Focus

Key Achievements

Top Papers

1. 1
   Mobile robot localization based on Ultra-Wide-Band ranging: A particle filter approach

   194 citations · 2008
2. 2
   Experimental kinematics for wheeled skid-steer mobile robots

   182 citations · 2007
3. 3
   A collection of outdoor robotic datasets with centimeter-accuracy ground truth

   168 citations · 2009
4. 4
   A statistical approach to gas distribution modelling with mobile robots - The Kernel DM+V algorithm

   153 citations · 2009
5. 5
   Toward a Unified Bayesian Approach to Hybrid Metric--Topological SLAM

   141 citations · 2008
6. 6
   A LEGO Mindstorms NXT approach for teaching at Data Acquisition, Control Systems Engineering and Real-Time Systems undergraduate courses

   115 citations · 2012
7. 7
   Time-variant gas distribution mapping with obstacle information

   101 citations · 2015
8. 8
   The Multi-Chamber Electronic Nose—An Improved Olfaction Sensor for Mobile Robotics

   98 citations · 2011
9. 9
   Overcoming the Slow Recovery of MOX Gas Sensors through a System Modeling Approach

   88 citations · 2012
10. 10
    A pure probabilistic approach to range-only SLAM

    69 citations · 2008

Key Collaborators

Contact & Links