Introduced their new humanoid robot neural network called Helix 2.5; Says it autonomously performs whole-body tasks like making beds, folding towels, and tidying rooms in 30 unseen homes with zero prior data collection or fine-tuning
- Helix 2.5 relies on pretraining with Figure's Index dataset of human behaviors, boosting zero-shot success rates from 9% (scratch-trained) to 56% across locomotion, manipulation, and perception, while matching environment-specific models using half the task data.