DeepFly3D: the deep-learning way to design fly-like robots

Concept design of fly-robots. Copyright: P. Ramdya, EPFL
Concept design of fly-robots. Copyright: P. Ramdya, EPFL
EPFL scientists have developed a deep-learning based motion-capture software that uses multiple camera views to model the movements of a fly in three dimensions. The ultimate aim is to use this knowledge to design fly-like robots. "Just think about what a fly can do," says Professor Pavan Ramdya, whose lab at EPFL's Brain Mind Institute , with the lab of Professor Pascal Fua at EPFL's Institute for Computer Science, led the study. "A fly can climb across terrain that a wheeled robot would not be able to." Flies aren't exactly endearing to humans. We rightly associate them with less-than-appetizing experiences in our daily lives. But there is an unexpected path to redemption: Robots. It turns out that flies have some features and abilities that can inform a new design for robotic systems.
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