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Figure 03

Figure 03

Figure 03 is Figure AI's first home-focused humanoid robot, announced in October 2025 and named TIME Best Invention of 2025. Figure 03 is next-generation autonomous humanoid robot for workforce automation.

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Introduction

  • 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.

Key Features

Designed for the World at ScaleDesigned for Helix

There’s no path to scaling humanoid robots without AI. That’s why we built Figure 03 around one goal - to enable true reasoning throughout the world using Helix. Figure 03 introduces a fully redesigned sensory suite and hand system, purpose-built to bring Helix to life.

Figure 03 introduces a next-generation vision system engineered for high-frequency visuomotor control. Its new camera architecture delivers twice the frame rate, one-quarter the latency, and a 60% wider field of view per camera - all within a more compact form factor. Combined with an expanded depth of field, this architecture provides Helix with a denser, more stable perceptual stream. These advancements are essential for intelligent navigation and precise manipulation in complex, cluttered spaces such as homes.

Each hand now integrates an embedded palm camera with a wide field of view and low-latency sensing, which offers redundant, close-range visual feedback during grasps. These cameras allow Helix to maintain visual awareness even when the main cameras are occluded (i.e. when reaching into a cabinet or working in confined spaces) and enable continuous, adaptive control in real time.

The Figure 03 hands represent a major leap in compliant and tactile design. Softer, more adaptive fingertips increase surface contact area, enabling more stable grasps across objects of varied shapes and sizes. After surveying existing market options, Figure found that current tactile sensors had inherent limitations that could not withstand real-world use. This led to the internal development of our first-generation tactile sensor, guided by three principles: extreme durability, long-term reliability, and high-fidelity sensing.

Each fingertip sensor can detect forces as small as three grams of pressure - sensitive enough to register the weight of a paperclip resting on your finger. This precision enables Helix to distinguish between a secure grip and an impending slip before it occurs, allowing fine-grained, dexterous control over fragile, irregular, or moving objects.

Figure 03 also includes 10 Gbps mmWave data offload capability, allowing the entire fleet to upload terabytes of data for continuous learning and improvement. Together, these advancements position Figure 03 as uniquely capable of large-scale, end-to-end pixels-to-action learning.

Designed for the Home

To operate effectively in the home, a robot must work seamlessly alongside people in their daily environments. With this in mind, Figure 03 introduces several design improvements focused on safety. It features strategically placed multi-density foam to protect against pinch points, and is covered in soft textiles rather than hard machined parts. Figure 03 also has 9% less mass and significantly less volume than Figure 02, making it easier to maneuver through household spaces.

The Figure 03 battery pushes the bounds for robot battery safety and incorporates multiple layers of protection against abuse or malfunction, including safeguards at the Battery Management System (BMS), cell, interconnect, and pack levels. The battery has already achieved certification to the UN38.3 standard.

Beyond safety, Figure 03 is designed for everyday usability. The soft goods are fully washable and can be removed or replaced without tools, allowing quick and easy swaps. The robot can also be customized with various clothing options, including garments made from cut-resistant and durable materials.

To make it easier to communicate naturally with the robot, Figure 03 features an upgraded audio hardware system for better real time speech-to-speech. Compared with Figure 02, its speaker is twice the size and nearly four times more powerful, while the microphone has been repositioned for improved performance and clarity.

Continuing our vision for a fully autonomous, wire-free system, Figure 03 is capable of wireless inductive charging alongside wireless data offload. Charging coils in the robot’s feet allow it to simply step onto a wireless stand and charge at 2 kW. In a home setting, this means the robot can automatically dock and recharge itself as needed throughout the day.

Designed for Mass Manufacturing

Humanoid robots have traditionally been designed as engineering prototypes which are time consuming and expensive to produce. Figure 03 is our first robot engineered from the ground-up for high-volume manufacturing. We achieved this through three major initiatives:

  • Design and process reinvention
  • Establishing an entirely new supply chain
  • The invention of BotQ, our high-volume manufacturing facility

Moving from Figure 02 to Figure 03 required redesigning nearly every component of the robot with manufacturability and cost in mind. The mechanical and electrical engineering teams aggressively reduced part count, assembly steps, and any components that were not absolutely critical to meet design requirements. While Figure 02 was primarily designed to be manufactured with CNC machining, Figure 03 relies heavily on tooled processes such as die-casting, injection molding, and stamping. This shift demanded a significant up-front investment in tooling, but the payoff is clear: each Figure 03 unit now costs dramatically less to build, with the economics improving as volumes grow.

To scale Figure 03, Figure had to build an entirely new supply chain for an industry where one does not currently exist. Figure chose to vertically integrate across many critical module builds including actuators, batteries, sensors, structures, and electronics, all of which were designed completely in-house. For individual components, Figure strategically identified and partnered with suppliers capable of meeting the required volumes, timelines, and strict quality standards demanded by the team. The result of this year-long effort is a global network of partners who can grow alongside Figure and meet production goals of thousands and eventually millions of parts under an aggressive ramp schedule.

BotQ is Figure’s dedicated manufacturing facility designed to scale robot production. BotQ’s first-generation manufacturing line will initially be capable of producing up to 12,000 humanoid robots per year, with the goal of producing a total of 100,000 robots over the next four years. Instead of relying on contract manufacturers, Figure brought production of its most critical systems in-house to maintain tight control over quality, iteration, and speed. The facility is equipped with state-of-the-art systems and digital integrations, anchored by our internally developed Manufacturing Execution System (MES). Every subassembly and final assembly passes through this line with full traceability, ensuring quality, repeatability, and continuous improvement.

Designed for the World at Scale

Figure’s focus on the home market in no way detracts from the potential of Figure 03 for the commercial market. By solving for the variability and intractability of the home, Figure is developing a truly general-purpose product that can do the widest possible range of tasks in the workforce.

Figure 03 is well suited for commercial applications for several reasons. The actuators can perform at 2x faster speeds with improved torque density (nm/kg). The most significant result of this is our ability to pick and place items at faster speeds.

The improvements to the hands and sensory suite made for Helix are of major significance for commercial use cases. With the camera and perception system upgrades, Figure 03 will be able to intelligently navigate commercial environments and execute precise manipulation. The changes to the hands highlighted above (added compliance, fingertip surface area, tactile sensing) enable better and more stable grasps across an array of objects such as small pieces of sheet metal and deformable poly bags.

Thanks to inductive charging, Figure 03 is capable of near-continuous operation as long as it can step onto a charging mat for a certain period of time during the use case. The fast wireless data offload also means that the robot can offload seamlessly during shift breaks just by returning to the dock.

Commercial customers can also design distinct uniforms for their Figure 03 fleet, with the option to use more durable, or cut-proof materials, and make other design changes for specific environments. New side screens on Figure 03 even allow quick identification across large fleets and can be fully customized to match each customer’s branding or operational needs.

Technical Highlights

Figure 03's core technical advancement lies in its integration of end-to-end neural networks that process visual, language, and proprioceptive inputs to generate coordinated whole-body actions. Unlike traditional robots requiring extensive programming for each task, Figure 03 learns from demonstration and natural language instruction, significantly reducing deployment time and cost.

The robot's mechanical architecture features custom-designed actuators optimized for the unique demands of humanoid locomotion and manipulation. Advanced computer vision systems enable real-time 3D scene understanding, object recognition, and grasp planning. The onboard computing platform processes AI models locally for low-latency responses while maintaining connectivity to cloud services for continuous learning and software updates.

The Figure 03 was announced in October 2025 and named TIME Best Invention of 2025. Unlike the industrial Figure 02 (deployed at BMW), Figure 03 is designed for consumer home environments. The robot features soft washable textile coverings instead of hard plastic, wireless inductive foot-coil charging (2 kW), and 3-gram tactile sensitivity. BotQ, Figure AI's dedicated manufacturing facility, started at 12,000 units/year capacity in early 2026 with plans to scale to 100,000 units over four years. Figure AI's $39 billion valuation is backed by NVIDIA, Jeff Bezos, Microsoft, Intel, Qualcomm, T-Mobile, Salesforce, and Brookfield.

Helix AI: How Figure 03 Learns

Helix is Figure's vision-language-action (VLA) model that learns tasks from demonstration videos rather than explicit programming. Figure achieved towel-folding capability with only 80 hours of training footage. The Figure 03 introduces significant sensor upgrades: 2x frame rate, 75% lower latency in visual processing, 60% wider field of view, palm cameras in each hand, and 10 Gbps mmWave data offload enabling fleet-wide learning. Proprietary fingertip tactile sensors detect forces as small as 3 grams. Helix uses a dual system: System 2 handles high-level planning and System 1 provides low-level motor control.

Demonstrated Capabilities and Target Use Cases

Figure 03 has successfully demonstrated: folding towels and laundry, loading dishwashers, clearing clutter from tables, loading washer/dryer, navigating household environments, and speech-based task delegation. Consumer home availability is targeted for late 2026, with enterprise/industrial deployments potentially available sooner. The ~$20,000 target price positions it for early adopters with $20K+ budgets once broadly available.

Application Scenarios

Figure 03 is primarily targeted at labor-intensive industries facing workforce shortages and seeking automation solutions. In manufacturing facilities, the robot performs repetitive tasks such as parts assembly, material transfer, bin picking, and machine tending. Warehouse and logistics operations leverage Figure 03 for order fulfillment, inventory management, and package handling.

Beyond industrial applications, Figure AI envisions broader deployment in retail stockrooms, healthcare facilities for material transport, and eventually consumer applications. The robot's ability to understand natural language and adapt to changing requirements makes it suitable for environments where traditional fixed automation is impractical or cost-prohibitive.