Figure 03 by Figure AI targets home environments with its compact 167 cm x 60 cm x 50 cm frame and 45 kg weight, priced at $50,000 - $70,000. It differentiates through Helix vision-language-action AI enabling autonomous chores like dishwashing and cleaning via voice commands. Key features include palm cameras, tactile sensors detecting 3 grams force, and safety elements like multi-density foam and wireless charging, positioning it for household deployment.
Green by Sberbank, priced $50,000 - $150,000, suits industrial applications with 170 cm x 55 cm x 38 cm dimensions and 50-80 kg weight. It stands out with advanced sensors including LiDAR, depth cameras, and force/torque sensors for precise operations in manufacturing and logistics. Navigation relies on visual SLAM and LiDAR mapping, with control options spanning teleoperation to autonomous behaviors, aligning it for research and infrastructure tasks.
Detailed Analysis

Design & Build Quality
Figure 03 measures 167 cm tall, 60 cm wide, 50 cm deep, and weighs 45 kg, featuring soft textile coverings and multi-density foam for home safety. Green is slightly taller at 170 cm but slimmer at 55 cm wide and 38 cm deep, with heavier 50-80 kg build suited for industrial durability. Figure 03 emphasizes lightweight design for household maneuverability, while Green prioritizes robust construction for demanding environments.

Mobility & Navigation
Figure 03 achieves 4.2 km/h speed using vision-language-action AI with Helix system and SLAM for adapting to home layouts including stairs. Green reaches 1.5-3 m/s walking speed via visual SLAM, LiDAR mapping, and balance-assisted navigation for structured industrial spaces. Figure 03 focuses on dynamic home navigation, whereas Green excels in precise, mapped industrial mobility.

Sensors & Perception
Figure 03 employs cameras including palm units, tactile fingertip sensors, mmWave data offload, and audio systems for detailed home perception. Green integrates RGB cameras, depth camera, LiDAR, IMU, force/torque sensors, gyroscope, accelerometer, and joint encoders for comprehensive industrial sensing. Figure 03 prioritizes touch and vision for manipulation, while Green offers multi-modal sensing for complex environments.

AI Capabilities
Figure 03 uses Helix AI based on ROS and Linux with Python/C++ APIs for autonomous voice-controlled actions and fleet learning via mmWave. Green supports teleoperation, autonomous modes, and learned behaviors on Linux with ROS 2 and Python SDK. Figure 03 emphasizes end-to-end vision-language-action for homes, contrasting Green's hybrid control for industrial tasks.

Battery & Power Efficiency
Both robots claim 3-5 years battery life, with Figure 03 offering wireless charging and 5-hour runtime per charge. Green matches the longevity spec but lacks detailed runtime or charging details in available data. Shared battery duration supports long-term deployment, though Figure 03 provides specifics for home convenience.

Use-Case Suitability
Figure 03 handles home assistance, chores, elderly care, light manipulation, and cleaning with delicate object handling. Green targets manufacturing, research, logistics, infrastructure inspection, and remote operations requiring robust performance. Figure 03 aligns with domestic adaptability, while Green fits structured professional applications.

Safety Features
Figure 03 incorporates multi-density foam padding, soft textiles, emergency stop, obstacle avoidance, and pinch protection for home use. Green features force limiting, collision detection, emergency stop, and redundant sensors for industrial safety. Both prioritize collision prevention, with Figure 03 adding home-specific soft materials.

Software Ecosystem
Figure 03 runs Helix on ROS and Linux with Python/C++ APIs, app integration, and remote monitoring. Green uses Linux-based OS with ROS 2 and Python SDK for versatile development. Figure 03 focuses on AI-driven autonomy, while Green supports broader teleop and learning integrations.
Analysis Score Summary
Total Score
9
Figure 03
VS
Based on Detailed Analysis
Total Score
7
Green
📊 Win: 2 points | Trade-off: 1 point each
Scores are summed across every insight: a clear winner earns 2 points, while balanced trade-offs give each robot 1 point. The total reflects how often each robot outperforms the other (or shares the spotlight) throughout the detailed analysis sections.
Technical Specifications
Head-to-head performance data and metrics
| Specification | Model AFigure 03 | Model BGreen |
|---|---|---|
Functional Utility & Use Cases4 Comparative Metrics | ||
Control Method | AI autonomous control with voice command, remote monitoring, app integration | Teleoperation, autonomous, learned behaviors |
Use Cases | Home assistance, household chores, elderly care support, light object manipulation, cleaning tasks | Manufacturing, research, logistics, infrastructure inspection, remote operations |
Multi Robot Coord | Yes, fleet coordination via cloud and mmWave data offload | Multi-robot coordination via network |
Pet Friendly | Yes, designed with safety padding and slow movement to avoid harm | Yes, with safety protocols |
Manipulation & Load Capacity4 Comparative Metrics | ||
Carrying Capacity | 5 kg (11 lbs) | 15-25 kg per arm |
Deadlift Capacity | 10 kg (22 lbs) | 50-100 kg |
Payload Type | Household items, tools, laundry, dishes | Tools, sensors, industrial equipment |
Modular Attachments | Interchangeable grippers, sensor modules | Tool changers, gripper interfaces, sensor mounts |
Kinematic Architecture & Dexterity3 Comparative Metrics | ||
Material | Metal frame with soft textiles and multi-density foam padding | Aluminum frame, composite joints, polymer covers |
Mobility Type | Bipedal legged humanoid | Legged (bipedal walking) |
Hardware Interface | USB-C, Ethernet, GPIO for diagnostics | USB-C, Ethernet, GPIO, CAN bus |
Comparison Depth: 11 / 53 Metrics
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