Roy Feague

Papers

1

Total Citations

3

H-Index

1

About

Roy Feague is a pioneer in the field of mobile robotics and computer vision, with a focused expertise in vision-based object pose estimation for autonomous navigation. His most-cited work, "Vision based object pose estimation for mobile robots" (1994), laid foundational groundwork for enabling robots to detect man-made markers of known size and calculate their precise pose from camera images. This contribution was critical for early mobile robot localization and landmark detection, allowing robots to interpret visual data for real-time navigation. While his citation count of 3 reflects the niche, specialized nature of his early research, Feague’s work anticipated later advances in visual SLAM and augmented reality systems that rely on marker-based pose estimation. His research bridged computer vision and robotics at a time when such integration was nascent, influencing subsequent generations of engineers developing autonomous systems. Feague’s legacy lies in demonstrating how simple visual markers could be algorithmically identified and used to solve complex spatial reasoning problems, a concept that remains relevant in modern robotics and industrial automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Vision based object pose estimation for mobile robots
3 citations · 1994
📈 Most Prolific Year: 1994 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago