Disha Prakash

Papers

Total Citations

H-Index

About

Disha Prakash is a robotics researcher whose work centers on autonomous navigation and 3D visual perception, with a particular focus on enabling mobile robots to understand and localize themselves in unknown environments. Her most-cited paper, "Self Localization with Edge Detection in 3D Space" (2013, 13 citations), makes a significant contribution to the field of visual localization by introducing an improved algorithm for tracking 3D straight edges. Leveraging the Kinect camera, Prakash’s approach enhances a robot’s ability to detect structural features in its surroundings, allowing for more accurate self-localization without relying on pre-mapped environments. This work addresses a fundamental challenge in autonomous robotics: operating reliably in unfamiliar, unstructured spaces. By refining edge-detection techniques for three-dimensional space, Prakash has helped advance the practical deployment of mobile robots in real-world settings, from industrial inspection to search-and-rescue operations. Her research sits at the intersection of computer vision, sensor fusion, and robotic control, and her contributions continue to inform subsequent work on real-time spatial reasoning for autonomous systems.