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  • Figure
    The intelligence behind Figure 03 Figure is using Helix, AI that enables it to navigate unpredictable, ever-changing home environments
  • Introducing Figure 03
    Today we’re introducing Figure 03, our 3rd generation humanoid robot Figure 03 is designed for Helix, the home, and the world at scale Our goal is to deliver a truly general-purpose robot - one that can perform human-like tasks and learn directly from people To realize this vision, our engineering and design teams completed a ground-up hardware and software redesign to ship Figure 03 for
  • Introducing Helix 02: Full-Body Autonomy - figure. ai
    Introducing Helix 02 Last year, Helix showed that a single neural network could control a humanoid’s upper body from pixels Today, Helix 02 extends that control to the entire robot - walking, manipulating, and balancing as one continuous system Helix 02 is Figure’s most capable humanoid model yet: A single neural system that controls the full body directly from pixels, enabling dexterous
  • News | Figure
    September 17, 2025 Figure Announces Strategic Partnership with Brookfield September 16, 2025 Figure Exceeds $1B in Series C Funding at $39B Post-Money Valuation September 03, 2025 Helix Loads the Dishwasher August 12, 2025 Helix Learns to Fold Laundry July 17, 2025 F 03 Battery Development
  • Master Plan | Figure
    In the coming age we will see great advancements in Artificial Intelligence (AI) and Robotics, and by contributing in the early stages, we can set the course for a positive AI future for humanity Hence the goal of Figure: to develop general purpose humanoids that make a positive impact on humanity and create a better life for future generations
  • BotQ: A High-Volume Manufacturing Facility for Humanoid Robots - figure. ai
    Introducing BotQ, Figure’s new high-volume manufacturing facility for humanoid robots BotQ’s first generation manufacturing line will be capable of manufacturing up to 12,000 humanoids per year
  • Natural Humanoid Walk Using Reinforcement Learning - figure. ai
    Our Approach Reinforcement Learning (RL) is an AI approach where a controller learns through trial and error, optimizing behaviors based on a reward signal Figure trained our RL controller in high-fidelity simulations, running thousands of virtual humanoids with varied parameters and scenarios This diverse exposure allows our trained policy to transfer directly (“zero-shot”) from
  • F. 02 Contributed to the Production of 30,000 Cars at BMW - figure. ai
    Today we’re excited to share our results of an 11 month Figure 02 robot deployment at BMW Group Plant Spartanburg Within 6 months of bringing up Figure 02, we delivered robots to the plant and began testing Within 10 months, we launched full deployment on an active assembly line at the plant, running every single working day BMW Deployment Highlights: Ran 10-hour shift Monday-Friday
  • Helix: A Vision-Language-Action Model for Generalist Humanoid Control
    Introducing Helix We're introducing Helix, a generalist Vision-Language-Action (VLA) model that unifies perception, language understanding, and learned control to overcome multiple longstanding challenges in robotics Helix is a series of firsts: Full-upper-body control: Helix is the first VLA to output high-rate continuous control of the entire humanoid upper body, including wrists, torso
  • Helix Learns to Fold Laundry - figure. ai
    Helix Learns to Fold Laundry Helix, Figure’s Vision Language Action (VLA) model, recently demonstrated an hour of fully autonomous package reorientation in a logistics setting Now, the same model is tackling something entirely different: folding laundry Folding laundry sounds mundane for a person, but this is one of the most challenging dexterous manipulation tasks for a humanoid robot





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