Bryson Lingenfelter
Papers
1
Total Citations
16
H-Index
1
About
Bryson Lingenfelter’s research sits at the intersection of robotics, biology, and computer vision, with a focus on bio-inspired sensing and navigation. His most-cited work, “Insect inspired vision-based velocity estimation through spatial pooling of optic flow during linear motion” (2021, 16 citations), introduces a novel approach to estimating absolute ground velocity by combining optic flow with acceleration data. This robotics-inspired-biology study reveals three critical requirements for direct velocity estimation: it is only possible during active acceleration and deceleration, highlighting fundamental constraints for autonomous systems. Lingenfelter’s contributions advance our understanding of how insects process visual motion, offering practical insights for developing lightweight, vision-based navigation in drones and robots. His work bridges theoretical biology and applied robotics, demonstrating how natural principles can solve engineering challenges. With growing recognition in the field, Lingenfelter continues to shape research on spatial pooling and motion perception, making his findings essential for students and researchers exploring bio-inspired robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1