Figure Launches Helix 2.5 Enabling Zero-Shot Humanoid Tasks in 30 Homes
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Figure has unveiled Helix 2.5, a neural network that allows its humanoid robot to perform three household tasks across 30 unfamiliar homes without prior data collection or model adaptation. This innovation marks a significant leap in robotic generalization, increasing zero-shot task success from 9% to 56% through Index pretraining, which also reduced task-specific data requirements by half.
The ability to generalize in unseen environments is crucial for robotics, as highlighted by Figure's founder and CEO Brett Adcock. The tests conducted in the Bay Area demonstrated Helix 2.5's capability to tidy living rooms, fold towels, and make beds using only knowledge transferred from human behavior, showcasing a major advancement in the field.
Looking ahead, Figure is generating approximately 35 minutes of new human-experience data every second and has committed $3.5 billion in computing resources to further enhance Helix. The company aims to scale its technology, suggesting that increased data and compute power will lead to improved performance in real-world applications.
Original report
Figure Unveils Helix 2.5 With Zero-Shot Humanoid Generalization Across 30 Homes
AIInsider · Greg BockThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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