RPG begins with an offline dataset of robot demonstrations.
Robots improve reusable manipulation skills through guided simulation practice
RPG diagnoses execution failures, revises symbolic skills and prompts, then validates those changes across tasks before physical deployment.
Big Tech
Yen-Jen Wang · Haozhe Jiang · Shuying Deng · Haoru Xue · Weirui Ye · Rocky Duan · +4 more
UC Berkeley · MIT · Amazon FAR · University of Chicago
Research Digest··3 min read
Wang and colleagues present Reconstruct, Practice, Go Real, a framework that improves a robot execution system through simulated practice without changing the underlying model weights.
Why this paper
From Amazon FAR and 3 others
In one line
RPG improves robot task success from 28.6% to 95% through autonomous practice without updating model weights.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ·No compute details found
- ·No stated limitations found
- ✓Reports numbers on named benchmarks (2 benchmarks)
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
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