Groundbreaking tracking technology that has revealed new insights into how desert ants navigate their complex worlds could inspire the next generation of smart, efficient robots. New ‘decade in the making’ low-cost tracking technology reveals remarkable speed at which desert ants memorize homew
Researchers have developed a low-cost tracking technology called CATER, which uses computer vision and AI to study desert ants’ navigation, revealing their remarkable learning speed and providing insights for the next generation of bioinspired robots.
The software works across animal types and it’s low-cost means it could be used by citizen scientistsAn international research collaboration involving the University of Sheffield has developed new tracking technology using computer vision — a field of computer science that programs computers to interpret and understand images and videos— to track individual desert ants over their entire foraging lives.
Dr. Michael Mangan, Senior Lecturer in Machine Learning and Robotics at the University of Sheffield, said: “We captured this data during a summer field trip, but it has taken 10 years to build a system capable of extracting the data, so you could say it’s been a decade in the making. Dr. Michael Mangan, Senior Lecturer in Machine Learning and Robotics at the University of Sheffield. Credit: University of Sheffield
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