Researchers at the University of California, Berkeley and Toyota have created a dataset to better train autonomous robots to interact with humans. The dataset consists of 75 hours of camera footage taken by an autonomous robot as it navigates through university buildings. It features over 4,000 interactions with a human as well as data on the robot’s movement and humans’ locations.
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