Zahra Kamranian

Papers

Total Citations

H-Index

About

Zahra Kamranian is a robotics researcher specializing in visual servoing and camera pose estimation for autonomous systems operating in dynamic, cluttered environments. Her work bridges the gap between safe human-robot interaction and robust perception, with a focus on real-time performance. In her most-cited paper, "Visual servoing with safe interaction using image moments" (2015, 13 citations), she addresses the challenge of image-based visual servoing by integrating depth sensor data to measure distances to moving obstacles, enabling robots to navigate safely while maintaining task precision. Her follow-up work, "Fast, yet robust end-to-end camera pose estimation for robotic applications" (2020, 7 citations), advances efficient, reliable pose estimation for real-world robotic tasks. Kamranian’s contributions are critical for applications in manufacturing, service robotics, and autonomous navigation, where robots must adapt to unpredictable surroundings. Her research demonstrates a commitment to developing computationally efficient algorithms that do not sacrifice accuracy, making her a notable figure in the field of robotic perception and control.