Wilma Pairo
Papers
2
Total Citations
10
H-Index
2
About
Wilma Pairo is a researcher whose work sits at the intersection of robotics, computer vision, and autonomous navigation. Her primary contributions focus on enabling mobile robots to robustly track and follow human subjects—a critical capability for applications in service robotics, assistive technology, and human-robot collaboration. In her most-cited work, "A Delay-Free and Robust Object Tracking Approach for Robotics Applications" (2018, 5 citations), Pairo addresses the challenge of real-time, latency-free tracking, proposing methods that ensure reliable performance even in dynamic environments. Her earlier comprehensive survey, "Person Following by Mobile Robots: Analysis of Visual and Range Tracking Methods and Technologies" (2014, 5 citations), systematically evaluates both visual and range-based tracking techniques, providing a foundational reference for researchers in the field. By synthesizing sensor fusion and algorithmic strategies, Pairo’s work has helped advance the practical deployment of person-following robots, offering insights that bridge theoretical tracking methods with real-world robotic systems. Her research remains a valuable resource for engineers and academics working on autonomous systems that require precise, delay-minimized human tracking.
Research Focus
Key Achievements
Top Papers
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