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
Top Papers
- 1Super-resolution for flash ladar imagery13 citations · 2010
- 2
- 3Super-resolution for flash LADAR data6 citations · 2009