Javier Plata
Papers
1
Total Citations
15
H-Index
1
About
Javier Plata is a researcher in robotics and autonomous systems, with a primary focus on mobile robot perception, human-robot interaction, and sensor-based tracking. His most notable contribution is the development of a robust leg detection and tracking system for mobile robots, as detailed in his highly cited 2013 paper, "Leg Detection and Tracking for a Mobile Robot and Based on a Laser Device, Supervised Learning and Particle Filtering." This work, which has garnered 15 citations, integrates laser-based sensing with supervised learning and particle filtering to enable reliable human following and collision avoidance in dynamic environments. Plata’s approach addresses critical challenges in real-time people tracking, offering a computationally efficient solution that enhances robot autonomy in crowded or unstructured spaces. His research has practical implications for service robotics, assistive technologies, and autonomous navigation. By combining machine learning with probabilistic filtering, Plata has advanced the field of human-aware robot motion, laying groundwork for safer, more intuitive human-robot collaboration.
Research Focus
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Top Papers
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