Figure Helix 2.5 hits 56% zero-shot success in 30 unseen homes vs 9% trained from scratch
TansuYegen · x · 2026-09-22
Figure's Helix 2.5 shows that pretraining on human behavior data dramatically improves a humanoid robot's ability to work in unfamiliar environments: an Index-pretrained model scored 56% zero-shot success across 30 unseen homes, versus just 9% for a model trained from scratch. The takeaway is that learning from broad human experience lets robots generalize instead of needing per-environment training. The author adds that if this trend holds, the hardest problem shifts from training the bot to deciding whose habits it copies.
Related event: Figure's Helix 2.5 Completes 56% of Chores Zero-Shot in 30 Unseen Homes(9 posts)→
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