Figure 01 & Figure 02: Commercial Humanoids for Warehouses and Factories

Platform Overview and Architecture

Figure AI's Figure 01 and Figure 02 are commercial-grade humanoid robots designed for repetitive manufacturing and logistics tasks. The company's development path prioritizes standardized mechanical interfaces, closed-loop torque control, and vision-language-action (VLA) model inference on embedded compute. Both platforms target environments where structured workflows, high repeatability, and safety compliance are prerequisites for deployment.

The architecture centers on custom high-torque density actuators, joint-level torque sensors, and wrist/ankle force-torque feedback. Perception relies on stereo vision, depth mapping, and tactile arrays in the end-effectors. Compute is handled by NVIDIA Jetson Thor modules, enabling low-latency policy execution and real-time collision avoidance. Power distribution uses high-voltage DC bus architecture with modular battery packs rated for multi-shift operation.

Figure 01: Verified Specifications and Early Pilots

The Figure 01 platform stands approximately 173 cm and weighs roughly 60 kg. Joint count totals 20 degrees of freedom, with continuous torque control across all axes. The end-effector provides adjustable grip force and tactile feedback for handling standardized SKUs. Cycle time claims for bin-to-bin transfer and light assembly tasks were validated in early factory environments, with reported productivity gains of 20–30 percent over baseline manual workflows.

Power systems support an 8-hour operational window per charge, with hot-swap capability for continuous shifts. Safety architecture includes mechanical limit switches, current-based torque cutoff, and ISO 10218/ISO/TS 15066 alignment for collaborative cell integration. The platform shipped hardware to pilot sites in Germany and Japan, with independent verification limited to manufacturer-published video evidence and partner facility documentation.

Figure 02: Iterative Upgrades and Cycle Time Claims

Figure 02 introduces a revised mechanical design with 36 degrees of freedom, increased payload capacity, and refined actuator gearing. Height is approximately 180 cm, with weight near 73 kg. The updated platform claims two times faster cycle times compared to Figure 01, primarily through optimized trajectory planning, reduced joint deceleration limits, and improved tactile sensing resolution.

Battery capacity and thermal management were upgraded to sustain 8+ hours of continuous operation under high-duty cycles. The compute stack retains the Jetson Thor foundation but adds dedicated tensor cores for VLA model quantization and edge inference. Manufacturer documentation indicates reduced latency in grasp confirmation and object reorientation. As with Figure 01, deployment grading places Figure 02 in the pilot phase, with hardware delivered to BMW Group and Toyota facilities for structured testing.

Deployment Grading: Shipping Hardware vs. Announced Pilots

Evaluating humanoid platforms requires strict separation between shipped units, active pilots, and public announcements. Figure AI's deployment status is graded as follows:

• Shipping Hardware: Figure 01 and Figure 02 units have been delivered to partner facilities. Mechanical integration, actuator calibration, and baseline safety checks are documented in manufacturer press releases and on-site facility tours.
• Pilot Deployments: Active testing occurs at BMW Group (Spartanburg, Germany), Toyota (Japan and North America), and select logistics partners. Pilots focus on material handling, light assembly, and quality inspection. Performance metrics remain proprietary, with cycle time and uptime data shared only through structured partner reports.
• Announced Capabilities: Claims regarding mass production scaling, autonomous navigation in unstructured warehouses, and cross-factory deployment timelines remain in the announcement category. No independent third-party audit has verified these claims as of the current reporting period.

Grading hardware first ensures that integration teams assess actual joint torque curves, thermal limits, and safety interlock behavior before evaluating software claims. Pilot deployments second provide operational context for floor layout, power infrastructure, and maintenance workflows. Announcements last, as they often precede supply chain validation and regulatory certification.

Integration and Operational Requirements

Deploying Figure platforms in warehouses or factories requires structured infrastructure preparation. Integration points span mechanical, electrical, network, and software domains.

• Mechanical: Workcell redesign for human-robot collaboration zones, safety fencing or laser scanning per ISO 13849-1, and standardized pallet/fixture interfaces. End-effector changeover requires tooling adapters rated for dynamic load.
• Electrical: 400V DC power drops with dedicated circuit breakers, UPS backup for control systems, and thermal ventilation for battery charging stations. Power consumption during peak torque output approaches 3–4 kW per unit.
• Network: Edge compute requires deterministic LAN segments, PoE++ switches for peripheral sensors, and isolated VLANs for VLA model updates. Latency thresholds remain under 10 ms for joint control loops.
• Software: VLA model fine-tuning requires labeled task datasets, digital twin simulation for trajectory validation, and version-controlled policy deployment. Maintenance workflows demand joint encoder calibration, cable harness inspection, and actuator thermal logging.

Integration timelines typically span 12–16 weeks per cell, depending on facility readiness. Factory floors with existing collaborative robot infrastructure reduce deployment friction. Unstructured logistics environments require additional SLAM mapping, dynamic obstacle avoidance, and floor load testing.

India Market Availability and Landed Cost Estimates

As of the current reporting period, Figure AI has not announced official commercial availability or distribution partners in India. The company's primary deployment focus remains in North America, Europe, and Japan. Indian manufacturers and logistics operators interested in Figure platforms must monitor direct procurement channels or authorized system integrator partnerships.

Approximate landed cost estimates for comparable Tier-1 commercial humanoids in India range between ₹1.8 crore and ₹2.5 crore per unit, excluding integration, safety certification, and software licensing. Figure-specific pricing remains undisclosed. Landed cost calculations factor in customs duties, GST, freight, insurance, and local compliance documentation. Importers should verify BIS certification requirements for high-voltage battery systems and industrial robotics safety standards.

Local system integrators in India are developing parallel humanoid deployment frameworks, focusing on modular end-effectors, localized VLA training data, and cost-optimized power infrastructure. Until Figure AI establishes Indian distribution, domestic buyers will rely on cross-border procurement or alternative platforms with verified India support.

Limitations and Independent Verification Status

Humanoid platforms in the commercial phase face consistent technical constraints. Actuator thermal limits restrict continuous high-torque operation, requiring duty-cycle management. Tactile sensors degrade under abrasive material handling, necessitating regular calibration. VLA model generalization remains task-bound, with performance dropping outside training distributions.

Independent verification of Figure platforms remains limited. Manufacturer videos and facility tours demonstrate baseline functionality, but third-party stress testing, MTBF data, and cross-factory reliability studies are not publicly available. Procurement teams should request pilot performance logs, joint torque validation reports, and safety interlock certification before committing to multi-unit deployments.

Supply chain constraints affect actuator production, high-voltage battery cells, and edge compute modules. Lead times for replacement parts and firmware updates must be factored into operational planning. Figure AI's acquisition by BMW Group and Toyota provides manufacturing scale, but supply chain transparency for Indian buyers remains limited.

References

• Figure AI Official Platform Specifications: https://www.figure.ai/figure-01
• Figure AI Figure 02 Announcement and Technical Overview: https://www.figure.ai/figure-02
• BMW Group Manufacturing Integration Press Release: https://www.bmwgroup.com/en/news/general/2024/figure-ai-humanoid.html
• Toyota Humanoid Robot Pilot Program Documentation: https://global.toyota/en/company/vision_and_philosophy/innovation/figure-ai-pilot.html
• NVIDIA Jetson Thor Embedded Compute for Humanoid Robotics: https://www.nvidia.com/en-us/autonomous-machines/jetson-thor/
• Reuters Reporting on Figure AI Funding and Deployment Strategy: https://www.reuters.com/technology/figure-ai-humanoid-robots-2024/
• TechCrunch Coverage of Figure AI Pilot Deployments and Infrastructure Requirements: https://techcrunch.com/2024/figure-ai-warehouse-pilots/