Bryan Hyatt

Polaris Sensor Technologies (United States)

Papers

1

Total Citations

2

H-Index

1

About

Bryan Hyatt is a researcher specializing in robotic vision systems, human-robot interaction, and teleoperation technologies. His most notable contribution is the development and assessment of a 3D vision system integrating a flat panel stereoscopic display with an auto-converging stereo camera, designed to enhance robotic driving, manipulation, and surveillance. This system was successfully integrated onto a Talon R platform, demonstrating practical applications in field robotics. Though his seminal 2009 paper has garnered 2 citations, its impact lies in pioneering early work on stereoscopic vision for remote operations—a foundation for later advances in autonomous systems. Hyatt’s research bridges the gap between human perception and machine control, offering critical insights into how 3D visualization can improve operator performance in complex environments. His work remains relevant for students and engineers exploring telepresence and robotic situational awareness.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
3D vision system assessment
2 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Polaris Sensor Technologies (United States)

Top Papers

  1. 1
    3D vision system assessment
    2 citations · 2009

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago