TLDR Tech / Practical
The challenge of data collection for robot training
As artificial intelligence is increasingly applied to robotics, acquiring sufficient high-quality training data presents a significant challenge. This article examines common methods for generating robot training data, such as teleoperation, simulated reinforcement learning, and data from human-collected videos or manipulation interfaces, comparing their scale and cost to the vast datasets used for language models.
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