Kathryn Schneider
Papers
1
Total Citations
3
H-Index
1
About
Kathryn Schneider is a researcher whose work lies at the intersection of bio-inspired robotics, computer vision, and embedded systems, with a particular focus on enabling autonomous flight for micro aerial vehicles (MAVs). Her key contributions center on developing lightweight, low-power vision sensors and algorithms that mimic biological systems—such as optic flow computation—to allow small-scale robots to navigate complex environments without heavy computational loads. Her most cited paper, "Computing Optic Flow with ArduEye Vision Sensor" (2013), addresses the fundamental challenge of size, weight, and power constraints in MAVs by implementing efficient optic flow processing on a custom sensor platform. This work has garnered 3 citations and laid groundwork for subsequent advances in insect-inspired flight control. Schneider’s research is notable for bridging practical hardware design with theoretical models of visual navigation, making her a valuable contributor to the growing field of autonomous micro-robotics. Her achievements demonstrate a commitment to solving real-world engineering constraints through elegant, biologically plausible solutions.
Research Focus
Key Achievements
Top Papers
- 1Computing Optic Flow with ArduEye Vision Sensor3 citations · 2013