Enrique Dorronzoro
Papers
4
Total Citations
17
H-Index
3
About
Enrique Dorronzoro’s research lies at the intersection of assistive robotics, computer vision, and human-robot interaction, with a focus on developing autonomous systems for at-home healthcare monitoring. His work centers on creating mobile robots capable of detecting, tracking, and analyzing human subjects in indoor environments, particularly for elderly or vulnerable individuals living independently. Dorronzoro’s major contributions include advancing top-down spatial attention mechanisms for visual search, integrating spatial memory to enable novelty detection and robust visual tracking, and developing active sensing strategies for human activity recognition. His 2014 paper on spatial attention for visual search (5 citations) and his 2017 work on active sensing for activity recognition (5 citations) demonstrate his efforts to push forward bio-monitoring robots that can recognize behaviors and provide emergency warnings. He also proposed a 3D saliency model incorporating spatial memory to improve novelty detection, reducing computational load in task-specific applications. While his citation counts are modest, Dorronzoro’s research addresses critical challenges in autonomous healthcare robotics, contributing to the growing field of assistive technologies that support daily life and enhance safety for people in need.
Research Focus
Key Achievements
Top Papers
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