Su Mi Ji
Papers
1
Total Citations
3
H-Index
1
About
Su Mi Ji is a researcher whose work sits at the intersection of robotics, computer vision, and cloud computing. Her most-cited paper, "Detection of 3D perceptual changes in robot navigation using cloud computing" (2012, 3 citations), introduces a novel framework for real-time 3D perceptual parameter estimation in robot navigation. By leveraging multi-core GPUs connected in a cloud computing environment, she demonstrated how distributed processing can dramatically enhance a robot’s ability to detect and adapt to changes in its surroundings. This contribution is particularly significant for autonomous systems requiring rapid, accurate environmental sensing. While her citation count is modest, the work represents an early and insightful integration of cloud resources into robotic perception—a concept that has since become foundational in the field. Ji’s research highlights the practical benefits of offloading computationally intensive tasks to the cloud, paving the way for more responsive and intelligent robotic platforms. Her work remains a valuable reference for those exploring scalable, real-time perceptual systems in robotics.
Research Focus
Key Achievements
Top Papers
- 1