Scaling Robot Supervision to Hundreds of Hours with RoboTurk - Robotic Manipulation Dataset through Human Reasoning and Dexterity
IROS, pp. 1048-1055, 2019.
Large, richly annotated datasets have accelerated progress in fields such as computer vision and natural language processing, but replicating these successes in robotics has been challenging. While prior data collection methodologies such as self-supervision have resulted in large datasets, the data can have poor signal-to-noise ratio. By...More
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