D. Coombs
Papers
1
Total Citations
33
H-Index
1
About
D. Coombs is a pioneering researcher in the field of bio-inspired robotics and computer vision, with a primary focus on motion-based perception for autonomous navigation. His most cited work, "Real-time obstacle avoidance using central flow divergence and peripheral flow" (2002, 33 citations), exemplifies his core contribution: harnessing optical flow—the pattern of apparent motion in a visual scene—as the sole sensory cue for robot mobility. Coombs demonstrated that real-time estimates of image flow and flow divergence could provide a robot with a robust "sense of space," allowing it to steer through environments by treating the world as a conceptual corridor. This approach bypassed the need for complex 3D reconstruction, offering a computationally efficient and biologically plausible method for obstacle avoidance. His work has been influential in shaping how researchers integrate motion vision into autonomous systems, bridging the gap between insect-inspired navigation and practical robotics. Coombs’ research remains a touchstone for those exploring minimalist, vision-driven control strategies in mobile robotics.
Research Focus
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Top Papers
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