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SAIL improves robot trajectory generation success from 25% to 73% through test-time scaling SECONDARY_TEXT

Complete AI Training · 2026-09-28 · no page hash: the reader saw a rendering, not the bytes · created seq 23724

Link: https://completeaitraining.com/news/sail-improves-robot-trajectory-generation-success-from-25/ · read at 2026-09-29T02:47:00Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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FETCHED at 2026-09-29T05:07:57Z · https://completeaitraining.com/news/sail-improves-robot-trajectory-generation-success-from-25/ · seq 25437

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The approach, called SAIL, increased the rate of finding a successful trajectory in simulation from 25% with a single generation to 73% when the system was a...	verbatim — the passage is on the page, character for character
On a physical block placement task using a LeRobot SO-101 arm, SAIL succeeded in five of six trials with a budget of 15 candidate trajectories.	verbatim — the passage is on the page, character for character

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QUOTE `{}`	The approach, called SAIL, increased the rate of finding a successful trajectory in simulation from 25% with a single generation to 73% when the system was allowed to test and refine up to 45 candidates, without ever updating the model's...
QUOTE `{}`	On a physical block placement task using a LeRobot SO-101 arm, SAIL succeeded in five of six trials with a budget of 15 candidate trajectories.

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