F. Claire Rind

Newcastle University, University of Newcastle Australia

Papers

16

Total Citations

706

H-Index

12

About

F. Claire Rind is a pioneering neuroscientist and biorobotics researcher whose work sits at the fascinating intersection of insect neuroscience and autonomous systems engineering. She is best known for her groundbreaking investigations into the locust visual system, particularly the lobula giant movement detector (LGMD) neuron — a remarkable biological structure that enables locusts to detect and avoid approaching predators with extraordinary efficiency. Rind's most influential contribution has been translating the computational principles of the LGMD into artificial neural network models capable of real-world collision detection, work that has collectively attracted hundreds of citations and reshaped thinking in bio-inspired robotics. Her 2006 study on LGMD-based collision detection in complex dynamic scenes (153 citations) stands as a landmark achievement, demonstrating that biologically-grounded models could navigate unpredictable environments without conventional object-recognition algorithms. Her research has produced practical applications for autonomous vehicles and mobile robots, bridging pure biological inquiry with urgent engineering challenges. Across more than two decades of scholarship, Rind has also explored directional selective neurons, saccadic suppression, and redundant neural vision systems, consistently demonstrating how millions of years of evolutionary refinement in insect brains can inspire robust, elegant solutions for machine perception. Her body of work remains essential reading for researchers in neuroethology, computer vision, and autonomous navigation.

Research Focus

Key Achievements

12
H-Index
16
Papers
706
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Collision detection in complex dynamic scenes using an LGMD-based visual neural network with feature enhancement
153 citations · 2006
📈 Most Prolific Year: 2006 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Newcastle University, University of Newcastle Australia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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