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Self-supervised learning of visual appearance solves fundamental problems of optical flow – Robohub

Self-supervised learning of visual appearance solves fundamental problems of optical flow

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Flying insects as inspiration to AI for small drones
How do honeybees land on flowers or avoid obstacles? One would expect such questions to be mostly of interest to biologists. However, the rise of small electronics and robotic systems has also made them relevant to robotics and Artificial Intelligence (AI). For example, small flying robots are extremely restricted in terms of the sensors and processing that they can carry onboard. If these robots are to be as autonomous as the much larger self-driving…

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