NEEDLE operates entirely offline on a fixed dataset of robot demonstrations, which may include inefficient, complementary, or failed episodes.
Offline stitching of robot demos boosts policy success by 21 percentage points
NEEDLE adds verified action bridges between recorded observations to compose useful behaviors from imperfect demonstrations without new environment interaction.
Big Tech
Juntao Ren · Yifan Hou · Shuran Song
Stanford University · NVIDIA
Research Digest··3 min read
The authors present NEEDLE, an offline dataset-augmentation algorithm that stitches together useful segments from multiple robot demonstrations by adding short, verified action bridges.
Why this paper
From NVIDIA and Stanford University
In one line
Offline algorithm NEEDLE stitches verified action bridges between robot observations to improve policy success, raising real-robot success by 21 points on average.
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