Papers
12
Total Citations
109
H-Index
6
About
David Page is a robotics and intelligent systems researcher whose work has made meaningful contributions to autonomous mobile robotics, multi-sensor integration, and security-focused unmanned systems. Based at the University of Tennessee's Imaging, Robotics, and Intelligent Systems (IRIS) Laboratory, Page has focused his career on developing practical robotic solutions for real-world security and surveillance challenges. His research on mobile robots capable of tracking moving objects while autonomously avoiding obstacles in real time demonstrated sophisticated fusion of visual and range-sensing technologies. A recurring theme across his work is the SAFER platform, a multimodal robotic system designed for under-vehicle inspection at sensitive national facilities, reflecting a direct response to post-9/11 security concerns. Page's contributions to sensor selection and uncertainty minimization in multi-sensor localization — drawing on probabilistic reasoning and model selection theory — have advanced the reliability of autonomous robot navigation in complex environments. His most-cited works, each accumulating between 15 and 20 citations, span terrain modeling, video mosaicking, and ego-motion estimation, collectively establishing him as a versatile contributor to the field of unmanned systems research with a strong emphasis on deployable, mission-ready robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2SAFER under vehicle inspection through video mosaic building20 citations · 2004
- 3
- 4Multi-sensor integration for unmanned terrain modeling15 citations · 2006
- 5Tracking a moving object with real-time obstacle avoidance11 citations · 2006
- 6
- 7Surface shape description of 3D data from under vehicle inspection robot5 citations · 2005
- 8
- 9Modular robotics and intelligent imaging for unmanned systems3 citations · 2006
- 10