Papers
3
Total Citations
23
H-Index
2
About
Javier Correa’s research lies at the intersection of mobile robotics, active perception, and human-robot interaction, with a focus on enabling robots to navigate and understand dynamic, real-world environments. His most influential work, “Active Visual Perception for Mobile Robot Localization” (2009, 19 citations), introduced a novel framework that allows robots to intelligently select visual cues to improve localization accuracy, a foundational contribution to autonomous navigation. Correa further advanced the field with his work on real-time people tracking in crowded environments using range measurements (2013, 2 citations), addressing the critical challenge of safe robot operation in human-populated spaces. His earlier study on indoor mobile robotics at Grima, PUC (2011, 2 citations) laid the groundwork for these developments, demonstrating practical implementations in controlled settings. Though his citation counts are modest, Correa’s contributions are notable for their focus on active perception—a paradigm that shifts robots from passive sensors to proactive agents—and for tackling the real-world complexities of crowded, unstructured environments. His work continues to inspire researchers in robotics and computer vision, particularly those seeking robust, perception-driven solutions for mobile platforms.
Research Focus
Key Achievements
Top Papers
- 1Active Visual Perception for Mobile Robot Localization19 citations · 2009
- 2Indoor Mobile Robotics at Grima, PUC2 citations · 2011
- 3