Annah Roh
Papers
1
Total Citations
10
H-Index
1
About
Annah Roh is a robotics researcher whose work centers on real-time vision systems for mobile robots, with a particular focus on human-robot interaction and perception. Her most cited paper, "People detection method using graphics processing units for a mobile robot with an omnidirectional camera" (2011, 10 citations), introduces a novel approach to detecting people in dynamic environments. By leveraging GPU-accelerated dense optical flow, Roh’s system efficiently identifies regions of interest from an omnidirectional camera, enabling a robot to distinguish moving humans from its own ego-motion. This contribution addresses a critical challenge in autonomous navigation and safe human-robot collaboration. While her citation count reflects a focused, early-career impact, the work demonstrates technical ingenuity in combining parallel computing with omnidirectional vision—a setup that expands a robot’s field of view without sacrificing processing speed. Roh’s research is particularly relevant for applications in service robotics, surveillance, and assistive technologies, where robust people detection is essential. Her approach offers a practical solution for resource-constrained mobile platforms, highlighting her ability to bridge hardware acceleration and algorithmic design.
Research Focus
Key Achievements
Top Papers
- 1