Release
Jan 1, 2024
Price
Price TBA
Connectivity
3
Status
Discontinued
Height
168cm
Weight
70kg
Battery
Not disclosed (50% greater capacity than Figure 01)
Payload
20kg
Figure 02
Figure AI's second-generation humanoid robot, unveiled August 6, 2024. Built for industrial deployment with integrated cabling, torso-mounted battery, and 3x the onboard AI compute of its predecessor. Deployed at BMW's Spartanburg plant where it contributed to the production of over 30,000 cars across 1,250+ hours of runtime. Officially retired following the launch of Figure 03 in October 2025.
Listed price
Price TBA
Not publicly priced (commercial/industrial only)
Release window
Jan 1, 2024
Current status
Discontinued
Figure AI
Last verified
Mar 29, 2026
Technical overview
Core specifications and system stack
A fast read on the mechanical profile, sensing package, and platform integrations behind Figure 02.
Technical Specifications
Height
168cm
Weight
70kg
Battery Life
Not disclosed (50% greater capacity than Figure 01)
Charging Time
Not disclosed
Max Speed
Not disclosed
Payload
20kg
Tech Components
Voice Assistants
Operational profile
How this robot is configured
Capabilities
6
Connectivity
3
Key capabilities
Explore further
Benchmark set
Compare with similar robots
Shortcuts to the closest alternatives in the current ui44 set.
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About the Figure 02
The Figure 02 is a Humanoid robot built by Figure AI. Figure AI's second-generation humanoid robot, unveiled August 6, 2024. Built for industrial deployment with integrated cabling, torso-mounted battery, and 3x the onboard AI compute of its predecessor. Deployed at BMW's Spartanburg plant where it contributed to the production of over 30,000 cars across 1,250+ hours of runtime. Officially retired following the launch of Figure 03 in October 2025.
Pricing has not been publicly disclosed. See all Figure AI robots on the Figure AI page.
Spec Breakdown
Detailed specifications for the Figure 02
Height
168cmAt 168cm, the Figure 02 is designed to operate in human-scale environments, allowing it to reach countertops, shelves, and interfaces designed for human height.
Weight
70kgWeighing 70kg, the Figure 02 needs to balance mass for stability during bipedal locomotion while remaining light enough for safe human interaction.
Battery Life
Not disclosed (50% greater capacity than Figure 01)With a battery life of Not disclosed (50% greater capacity than Figure 01), the Figure 02 can operate for sustained periods before requiring a recharge. Battery life is measured under typical operating conditions and may vary based on workload intensity and environmental factors.
Payload Capacity
20kgA payload capacity of 20kg determines what the robot can carry or manipulate. This is a critical spec for manipulation tasks, determining what objects the robot can lift, carry, and work with.
The Figure 02 uses Nvidia RTX GPU modules (3x compute vs Figure 01), OpenAI speech model as its intelligence backbone. This AI platform powers the robot's decision-making, perception processing, and autonomous behavior. The sophistication of the AI stack directly impacts how well the robot handles unexpected situations and adapts to new environments.
Figure 02 Sensor Suite
The Figure 02 integrates 4 sensor types, forming the perceptual foundation that enables autonomous operation.
This sensor configuration enables the Figure 02 to perceive its 3D environment, recognize objects and people, navigate complex spaces, and perform precise manipulation tasks. Multiple sensor modalities provide redundancy and more robust perception than any single sensor type alone.
Explore sensor technologies: components glossary · full components directory
Figure 02 Use Cases & Applications
Humanoid robots are designed for environments built for humans — warehouses, factories, healthcare facilities, and eventually homes. Their bipedal form allows them to navigate stairs, doorways, and workspaces designed for human bodies without requiring environmental modifications.
Capabilities That Enable Real-World Use
The Figure 02 offers 6 distinct capabilities, each contributing to the robot's practical utility.
These capabilities work together with the robot's 4 onboard sensor types and Nvidia RTX GPU modules (3x compute vs Figure 01), OpenAI speech model AI platform to deliver practical, real-world performance.
Figure 02 Capabilities
6
Capabilities
4
Sensor Types
AI
Nvidia RTX GPU modules (3x c…
Connectivity & Integration
How the Figure 02 communicates with your network, smart home devices, cloud services, and companion apps.
Network & Communication Protocols
Voice Assistant Integration
Figure 02 Technology Stack Overview
The Figure 02 by Figure AI integrates 9 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of 168cm, a weight of 70kg, providing the foundation on which this technology stack operates.
Perception — 4 Sensor Types
The perception layer is built on 6 RGB Cameras, Onboard Vision Language Model, Microphones, Speakers. These work in concert to give the robot a detailed understanding of its operating environment. This multi-sensor approach provides redundancy and enables the robot to function reliably even when individual sensors encounter challenging conditions such as low light, reflective surfaces, or cluttered spaces.
Connectivity — 3 Protocols
Intelligence — Nvidia RTX GPU modules (3x compute vs Figure 01), OpenAI speech model
Nvidia RTX GPU modules (3x compute vs Figure 01), OpenAI speech model serves as the computational brain, processing sensor data, making navigation decisions, and orchestrating the robot's autonomous behaviors. The quality of this AI platform directly influences how well the robot handles novel situations, adapts to changes in its environment, and improves its performance over time through learning.
Voice — OpenAI Custom Model
Voice interaction is handled through OpenAI Custom Model, providing natural language understanding and speech synthesis that enable conversational control and integration with broader smart home ecosystems.
Who Should Consider the Figure 02?
Target Audience
Humanoid robots are typically targeted at enterprise customers, research institutions, and forward-thinking businesses looking to automate tasks that require human-like form and dexterity. While some models are approaching consumer pricing, the majority remain in the commercial and industrial space.
Key Considerations
When evaluating a humanoid robot, payload capacity, degrees of freedom, and manipulation dexterity are critical factors. Battery life and charging time determine operational uptime. The AI platform determines how well the robot can adapt to new tasks and environments. Consider whether the robot needs to work alongside humans (requiring safety certifications) or will operate independently.
Pricing
Availability
DiscontinuedThe Figure 02 has been discontinued by Figure AI. It may still be available through secondary markets or refurbished channels.
Figure 02: Strengths & Trade-offs
Engineering compromises and where this humanoid robot excels
What the Figure 02 does well
Solid sensor coverage
The Figure 02 integrates 4 sensor types, providing good perceptual coverage for its intended applications. This sensor complement covers the essential modalities needed for effective humanoid operation while keeping complexity manageable.
Broad capability set
With 6 distinct capabilities, the Figure 02 is designed as a versatile platform rather than a single-task device. This breadth means the robot can handle varied scenarios and workflows, reducing the need for multiple specialized robots and increasing its utility across different situations.
Substantial payload capacity
With a payload capacity of 20kg, the Figure 02 can handle meaningful physical tasks. This capacity enables practical applications like carrying tools, transporting materials, or supporting equipment mounts that lighter robots simply cannot accommodate.
What to consider carefully
Significant weight
At 70kg, the Figure 02 is a substantial piece of equipment. This weight contributes to stability and robustness but also means the robot requires careful consideration of floor load limits, transportation logistics, and the potential impact force in the event of unexpected contact with people or objects.
Undisclosed pricing
Figure AI has not published a public price for the Figure 02. While common for enterprise-class robotics, the absence of transparent pricing can complicate budgeting and comparison shopping. Prospective buyers will need to engage directly with the manufacturer for quotes, which may vary by configuration and volume.
Discontinued product
The Figure 02 has been discontinued by Figure AI. This means no new units are being manufactured, software updates may become infrequent or stop entirely, and replacement parts availability will eventually decline. Consider long-term support viability carefully if evaluating this robot through secondary markets.
Note: This strengths and trade-offs assessment is based on the Figure 02's documented specifications as tracked in the ui44 database. Real-world performance depends on deployment conditions, firmware maturity, and environmental factors. For the most current information, check the Figure AI manufacturer page or visit the official product page. Use the comparison tool to evaluate these trade-offs against competing robots in the same category.
How Humanoid Robot Technology Works
Understanding the engineering behind this category
Humanoid robots represent one of the most technically ambitious categories in robotics. Building a machine that walks, balances, manipulates objects, and interacts naturally with humans requires breakthroughs across multiple engineering disciplines simultaneously. Understanding the technology behind humanoid robots helps buyers and enthusiasts appreciate both the capabilities and limitations of current systems.
Navigation & Mobility
Humanoid robots navigate using a combination of visual SLAM (Simultaneous Localization and Mapping), depth sensing, and inertial measurement. Unlike wheeled robots that simply avoid obstacles, humanoids must plan footstep placement, maintain dynamic balance on uneven surfaces, and anticipate terrain changes. Advanced systems use predictive models to plan several steps ahead, similar to how humans unconsciously adjust their gait when approaching stairs or rough ground. The computational requirements for real-time bipedal navigation are substantial, often requiring dedicated motion-planning processors separate from the main AI system.
The Role of AI
Artificial intelligence in humanoid robots serves multiple roles: high-level task planning (understanding what needs to be done), perception (recognizing objects, people, and environments), manipulation planning (figuring out how to grasp and move objects), and social interaction (understanding speech, gestures, and context). Modern humanoids increasingly use large language models and vision-language models for task understanding, allowing them to interpret natural language instructions and generalize to new tasks without explicit programming for each scenario.
Sensor Fusion & Perception
The sensor suite in a humanoid robot must provide comprehensive environmental awareness while maintaining real-time processing speeds. Sensor fusion algorithms combine data from cameras, LiDAR, depth sensors, force/torque sensors, and IMUs to create a unified model of the robot's surroundings. This multi-modal perception is critical because no single sensor type works perfectly in all conditions — cameras struggle in darkness, LiDAR cannot distinguish materials, and touch sensors only detect what the robot physically contacts. By combining these inputs, the robot achieves more robust and reliable perception than any individual sensor could provide.
Power & Battery Management
Battery technology is one of the primary limiting factors for humanoid robots. Bipedal locomotion is inherently energy-intensive — maintaining balance requires constant motor activity even when standing still. Current lithium-ion battery packs typically provide two to four hours of active operation, with charging times that can match or exceed operational time. Research into more efficient actuators, energy-harvesting techniques, and advanced battery chemistries aims to extend operational windows. Some commercial deployments address this limitation through battery-swap systems or scheduled charging rotations.
Safety by Design
Safety in humanoid robotics is paramount because these robots operate in close proximity to humans. Design approaches include compliant actuators that absorb impact forces, real-time collision prediction systems, force-limited joints that automatically reduce power when unexpected contact occurs, and emergency stop mechanisms accessible to nearby humans. International safety standards like ISO 13482 for personal care robots provide frameworks for evaluating safety, but the field is still developing standards specific to general-purpose humanoid systems. Buyers should inquire about safety testing, certifications, and the robot's behavior in failure modes.
What's Next for Humanoid Robots
The humanoid robotics field is advancing rapidly on multiple fronts. Improvements in foundation models are enabling more generalizable intelligence. New actuator designs are making robots lighter and more efficient. Manufacturing scale is driving down costs. Over the next several years, expect humanoid robots to transition from controlled industrial environments to more varied commercial and eventually residential settings. The convergence of better AI, cheaper hardware, and proven deployment experience will accelerate adoption across industries.
The Figure 02 by Figure AI incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the Figure 02, see the sensor analysis and connectivity sections above, or browse the complete components glossary for explanations of every technology used across the robotics industry.
Figure 02 in the Humanoid Market
How this robot compares in the humanoid landscape
Figure AI has not publicly disclosed pricing for the Figure 02, which is typical for enterprise-focused robotics platforms that offer customized solutions and direct-sales relationships.
The Figure 02's 4 sensor types provide solid perceptual coverage for its intended use cases. This mid-range sensor suite balances cost with capability, covering the essential modalities needed for humanoid applications.
Head-to-Head Comparisons
Side-by-side specs, capability overlap analysis, and key differentiators.
For the full picture of Figure AI's portfolio and market strategy, visit the Figure AI manufacturer page.
Owning the Figure 02: Setup, Maintenance & Tips
Practical guide from day one through years of ownership
Initial Setup
Setting up a humanoid robot is substantially more involved than plug-and-play consumer devices. Expect a professional installation or guided setup process that includes physical unpacking and assembly (if shipped disassembled), initial calibration of joints and sensors, environment mapping and safety zone definition, network and cloud service configuration, and application-specific programming or task teaching. Plan for several hours to a full day of setup time, and budget for potential integration consulting if the robot needs to connect with existing systems. The manufacturer or a certified integrator should provide training on safe operation, emergency procedures, and basic troubleshooting.
Ongoing Maintenance
Humanoid robots require regular maintenance to ensure safe and reliable operation. Monthly maintenance typically includes visual inspection of joints and actuators for wear, sensor cleaning (especially cameras and LiDAR), firmware and software updates, battery health checks, and calibration verification. Quarterly maintenance may include more thorough mechanical inspection, lubrication of moving parts, and performance benchmarking to detect gradual degradation. Keep a maintenance log and follow the manufacturer's recommended schedule precisely — humanoid robots are complex systems where small issues can cascade if not addressed promptly.
Software Updates & Long-Term Support
Humanoid robot software is evolving rapidly, and regular updates can significantly improve performance, add new capabilities, and patch security vulnerabilities. Most manufacturers provide over-the-air updates, but enterprise deployments may require staging and testing updates before rolling them out. Evaluate the manufacturer's update track record — frequent, well-documented updates indicate active development and long-term commitment. Be aware that major software updates may require recalibration or retraining of custom behaviors.
Maximizing Longevity
To maximize the useful life of a humanoid robot, avoid operating beyond specified payload limits, maintain a controlled environment (temperature, humidity), keep sensors clean and unobstructed, and address any unusual sounds or behaviors promptly. Battery longevity is improved by avoiding deep discharges and extreme temperatures during charging. Investing in a service contract with the manufacturer or a certified partner provides access to replacement parts and expertise that can extend the robot's productive life significantly beyond the standard warranty period.
For Figure AI-specific support resources and documentation, visit the Figure AI page on ui44 or check the manufacturer's official website at Figure AI's product page.
Frequently Asked Questions
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Data Integrity
All Figure 02 data on ui44 is verified against official Figure AI sources, including spec sheets, product pages, and press releases. Last verified: 2026-03-29. Official source: Figure AI product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
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