Sakana AI's SAIL Boosts Robot Trajectory Success From 25% to 73% via Test-Time Scaling

Sakana AI and the University of Tokyo unveiled SAIL, a method that uses iterative refinement and search at inference time to make vision-language models generate far more reliable robot trajectories, accepted to IROS 2026.