We show that robots can learn high-level task semantics, such as sorting rules, skill composition, and rule-based ordering, directly from human demos.
This is useful because if your target task is a composition of the robot's existing skills, you could just collect human demos for it without collecting further robot data.
Introducing Ego-Pi: VLA fine-tuning for egocentric human and robot data, a collaboration between @Stanford and @Meta.
Website: https://t.co/dIF6n4QGy3
Paper: https://t.co/3GFk6KQw9P
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