Papers

16

Total Citations

857

H-Index

12

About

David Coombs is a pioneering robotics and computer vision researcher whose work has fundamentally advanced the field of autonomous robot navigation and visual perception. His research centers on motion vision, optical flow, binocular robot vision, and real-time obstacle avoidance — areas in which he has made lasting contributions that continue to influence robotics and autonomous systems. Coombs is perhaps best known for his innovative use of optical flow divergence as the primary sensory cue for robot mobility. His landmark 1995 paper on real-time obstacle avoidance using central and peripheral flow divergence has accumulated 170 citations, with a related 1998 study adding 103 more, demonstrating the sustained relevance of his approach. His early work on binocular robot vision — including real-time vergence control (1991, 100 citations) and smooth pursuit tracking (1993, 112 citations) — established foundational techniques for gaze control in robotic systems. Inspired by insect vision, his "Bee-bot" research elegantly showed how low-resolution peripheral vision could enable safe obstacle navigation. His 2002 work on autonomous off-road driving at speeds up to 35 km/h further illustrates his ability to translate theoretical vision principles into robust real-world performance, cementing his reputation as a bridge-builder between biological inspiration and practical autonomous systems.

Research Focus

Key Achievements

12
H-Index
16
Papers
857
Total Citations
54
Avg Citations/Paper
🏆 Most Cited Paper
Real-time obstacle avoidance using central flow divergence and peripheral flow
170 citations · 1995
📈 Most Prolific Year: 2002 (3 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: National Institute of Standards and Technology, University of Rochester

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago