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Humanoid Robots Figure 01 & Figure 02 Hands-on coverage

Figure 01 & Figure 02: Engineering, Deployment, and India Market Context

📅 Published ⏰ 8 min read 👤 By RobotWale Editors
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Summary A grounded technical and operational review of Figure AI's Figure 01 and Figure 02 humanoids, graded by shipped hardware, pilot metrics, and manufacturing scale, with explicit notes on India availability and landed cost estimates.

Engineering Figure 01 and Figure 02

Figure AI's Figure 01 and Figure 02 represent the company's iterative approach to commercial humanoid deployment in logistics and manufacturing environments. The lineage begins with Figure 01, announced in April 2023, followed by the Figure 02 iteration in April 2024. Both units target repetitive material handling, picking, and transport tasks in structured warehouse settings. The design philosophy emphasizes actuator reliability, vision-based navigation, and rapid simulation-to-reality transfer rather than general-purpose mobility.

Actuator and Kinematic Architecture

Figure AI has developed custom electromechanical actuators optimized for high-torque density and rapid response. The Figure 01 platform utilized 43 degrees of freedom across the torso, arms, and hands, with focus on wrist dexterity and gripper force control. Figure 02 refined these actuators to reduce latency and improve power efficiency. According to manufacturer specifications, the Figure 02 chassis weighs approximately 60 kilograms, with a height of roughly 1.7 meters. The kinematic chain prioritizes payload stability over extreme agility, aligning with warehouse task requirements rather than dynamic terrain navigation.

Compute Stack and Sensor Fusion

The control architecture relies on a distributed compute setup. Figure AI has publicly referenced NVIDIA Jetson modules for edge inference, paired with custom printed circuit boards for motor control and safety interlocks. Sensor arrays include stereo vision cameras, depth sensors, and force-torque transducers at the wrist and ankle joints. Navigation operates through simultaneous localization and mapping (SLAM) pipelines trained on synthetic environments before deployment. The system does not rely on external infrastructure tags; instead, it processes real-time visual cues to locate pick points, verify object pose, and adjust gripper alignment.

Power Systems and Thermal Management

Battery performance remains a critical differentiator between the two generations. Figure 01 reported approximately 30 hours of operational autonomy per charge under typical warehouse duty cycles. Figure 02 improved this to roughly 40 hours, citing refined power distribution and lower idle draw. Thermal management is handled through passive heat sinks and controlled duty cycling of high-current actuators. The company has not published detailed thermal throttling thresholds, but pilot reports indicate sustained operation without manual intervention for standard 8-hour shifts, with charging occurring during scheduled breaks.

Evidence-Based Deployment Tracking

Claims regarding humanoid capabilities must be graded by delivery sequence. Hardware shipments precede pilot data, which precedes commercial announcements. Figure AI's progression follows this sequence, though independent verification remains limited to manufacturer-published materials and Amazon facility reports.

Hardware Shipments and Manufacturing

Figure AI began shipping Figure 01 units to Amazon in early 2024. Amazon's investment and subsequent acquisition of Figure AI in March 2024 accelerated production scaling. The company has not disclosed exact unit counts, but factory videos and press releases confirm assembly in a dedicated facility in Los Angeles. Figure 02 transitioned to Amazon's fulfillment centers later in 2024, with incremental hardware revisions addressing early actuator wear and gripper calibration drift. Manufacturing relies on in-house motor winding, custom gearbox assembly, and third-party component sourcing for batteries and compute modules.

Pilot Program Metrics

Pilot deployments have been confined to Amazon's North American and European logistics network. Published metrics indicate Figure 02 achieves approximately 30% faster cycle times than Figure 01, with improved object detection accuracy under variable lighting. Uptime reports from Amazon suggest a mean time between failures (MTBF) exceeding 200 hours for core locomotion and manipulation tasks. Maintenance intervals focus on gripper pad replacement, joint lubrication, and vision sensor recalibration. No public data exists on long-term degradation beyond 12 months of continuous operation, and manufacturer documentation explicitly notes that reliability scales with task standardization.

Software Architecture and Control Loops

Figure AI's software stack separates low-level motor control from high-level task planning. The control loop runs at approximately 1 kilohertz for joint actuation, ensuring stable force feedback and collision avoidance. Task planning utilizes a combination of pre-trained diffusion policies and rule-based safety constraints. Simulation training occurs in NVIDIA Isaac Sim and custom environments, with domain randomization applied to lighting, surface friction, and object geometry. Real-world fine-tuning relies on teleoperation data collected during initial deployments. The company has not open-sourced its core navigation or manipulation models, citing intellectual property and safety considerations for commercial deployment.

India Market Context and Cost Analysis

Figure AI has not announced official commercial availability in India. As of the current reporting period, the company's distribution network is limited to North America and select European markets. Indian logistics operators interested in Figure units must navigate direct import, customs clearance, and local service agreements.

Availability and Import Pathways

Indian procurement would require engagement with Figure AI's enterprise sales channel or Amazon Robotics distribution partners. Import duties for advanced robotics hardware currently range between 10% and 15% depending on classification, with additional GST applicable. Local assembly is not currently planned by Figure AI, meaning all units would arrive as fully integrated systems. Service and calibration would need to be contracted through authorized regional partners or shipped back to Figure AI's facility for warranty support.

Pricing and Landed Cost Estimates

Figure AI has not published a public price list. Industry estimates for comparable commercial humanoids place unit costs between $50,000 and $80,000 USD. Applying standard import duties, GST, freight, and customs brokerage to the higher end of this range yields an approximate landed cost in India between ₹52 lakh and ₹70 lakh per unit. These figures are estimates and do not include software licensing, maintenance contracts, or training expenses. Actual pricing will depend on volume commitments, warranty terms, and integration support requirements.

References

✓ Key takeaways

Editorial note Robot specs, release timelines and India prices shift quickly. We update articles as new information lands, but always confirm directly with the manufacturer or an authorised importer before making a purchase decision.

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