Papers
60
Total Citations
843
H-Index
17
About
F. Sandoval is a prolific researcher whose work sits at the intersection of mobile robotics, autonomous navigation, and human-robot interaction. With a career spanning over two decades, Sandoval has made foundational contributions to how robots perceive, map, and navigate complex environments, as well as how they collaborate intelligently with human operators. Among his most influential contributions is a series of works on curvature-based feature extraction using 2D laser range sensors, which introduced efficient geometric methods for detecting and describing environmental landmarks — research that has collectively accumulated over 150 citations. These techniques became building blocks for robust mobile robot navigation in real-world settings. Complementing this, his early work on metric-topological map integration and hierarchical planning architectures demonstrated elegant solutions for exploration in unknown environments. Sandoval also pioneered shared control strategies for assistive robotics, most notably in wheelchair navigation, where his multi-criteria optimization framework (57 citations) and efficiency-weighted human-robot cooperation model (46 citations) advanced the field of collaborative autonomy. His gesture recognition research further reflects a commitment to natural human-robot interfaces. Together, his body of work — exceeding 400 citations across his top publications — reflects a sustained and impactful career bridging theoretical robotics with meaningful real-world applications.
Research Focus
Key Achievements
Top Papers
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- 9Hierarchical Planning in a Mobile Robot for Map Learning and Navigation26 citations · 2003
- 10Fast gesture recognition based on a two-level representation25 citations · 2009