Mark Pupilli
Papers
1
Total Citations
37
H-Index
1
About
Mark Pupilli is a researcher in computer vision and robotics, with a primary focus on real-time visual simultaneous localization and mapping (SLAM). His most influential work, "Real-Time Visual SLAM with Resilience to Erratic Motion" (2006), addresses a critical challenge in deploying visual SLAM on hand-held and wearable devices: the unpredictable, jerky movements that break traditional predictive motion models. By developing algorithms robust to such erratic motion, Pupilli helped bridge the gap between robotic SLAM systems and human-operated devices, enabling more reliable camera-based tracking in dynamic, real-world settings. This foundational paper has garnered 37 citations, reflecting its impact on the field of visual odometry and augmented reality. His contributions are particularly notable for advancing the practical usability of monocular SLAM beyond controlled environments, paving the way for applications in mobile robotics, wearable computing, and consumer AR. Pupilli’s work remains a key reference for researchers tackling motion resilience in real-time vision systems.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Visual SLAM with Resilience to Erratic Motion37 citations · 2006