Papers
2
Total Citations
9
H-Index
2
About
Yoani Guerra’s research centers on the control and automation of robotic systems, with a particular focus on visual servoing—a technique that uses visual feedback from cameras to guide robot movement. Her major contributions lie in developing decoupled and simplified control strategies for camera-in-hand robotic manipulators, where a camera mounted on the robot’s hand provides real-time images to align the arm with tracked objects. In her 2008 paper on 2D movement, she proposed a novel control strategy using two loops in cascade to decouple the system, enhancing precision and stability. Her subsequent work extended this approach to 3D Cartesian space, offering a simple yet effective solution for spatial robot control. Though her citation counts are modest—5 and 4 citations respectively—these papers represent foundational efforts in streamlining visual servoing for practical applications. Guerra’s work is notable for its clarity and focus on solving real-world control challenges, making it a valuable reference for students and researchers exploring robot vision and automation. Her contributions underscore the importance of accessible, efficient control designs in advancing robotic manipulation.
Research Focus
Key Achievements
Top Papers
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