Papers

3

Total Citations

31

H-Index

3

About

Brian Miller is a robotics researcher whose work bridges the critical gap between sensing and manufacturing quality control. His primary research areas include super-resolution imaging for flash LADAR systems and automated defect inspection for large-scale industrial components. Miller’s major contribution lies in enhancing the spatial resolution of compact, high-frame-rate flash LADAR devices—a key sensor for autonomous navigation and obstacle avoidance in robotics. His 2010 paper on super-resolution for flash ladar imagery (13 citations) pioneered a wavelet-based preprocessing stage that improves frame registration, enabling higher-quality 3D data from low-resolution sensors. This work directly addresses the fundamental trade-off between sensor compactness and resolution in robotics perception. More recently, Miller has applied his sensing expertise to manufacturing, co-authoring a 2023 study on robotic defect inspection using visual and tactile perception (12 citations). This work tackles the challenge of automated surface anomaly detection for large-scale components, a critical need for quality assessment and damage localization in industrial settings. Miller’s research demonstrates a clear trajectory from fundamental sensor enhancement to practical, high-impact applications in manufacturing automation.

Research Focus

Key Achievements

3
H-Index
3
Papers
31
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Super-resolution for flash ladar imagery
13 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Sensors (United States), United States Army Combat Capabilities Development Command

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago