Figure 03 by Figure AI vs Green by Sberbank: Review

Compare Figure 03 and Green. Detailed analysis of sensors, navigation, and AI capabilities.

Figure 03
Figure AI

Figure 03

⭐ Rating: 4.0/5
$50,000 - $70,000
vs
Green
Sberbank

Green

⭐ Rating: 4.0/5
$50,000 - $150,000

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.

Specifications Comparison

SpecificationFigure 03Green
Price$50,000 - $70,000$50,000 - $150,000
Weight45 kg (99 lbs)50-80 kg
Max Speed4.2 km/h (2.6 mph)1.5-3 m/s (walking)
Runtime5 hours3-5 hours
Battery Pack2 kWh3-5 kWh, 48V LiPo
Dimensions167 cm x 60 cm x 50 cm (65.7 in x 23.6 in x 19.7 in)170cm x 55cm x 38cm
SensorsCameras (including palm camera), tactile fingertip sensors, mmWave data offload, multi-density foam for safety, audio systemRGB cameras, depth camera, LiDAR, IMU, force/torque sensors, gyroscope, accelerometer, joint encoders
Charging Time2 hours2-4 hours
Navigation SystemVision-language-action AI with Helix system, SLAM, mmWave data offload for fleet learningVisual SLAM, LiDAR mapping, balance-assisted walking
Control MethodAI autonomous control with voice command, remote monitoring, app integrationTeleoperation, autonomous, learned behaviors

Showing 10 of 50 specifications

Detailed Analysis

Figure 03: +2
Figure 03

Design & Build Quality

Winner 🏆 Figure 03

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.

Trade-off: +1 each
Green

Mobility & Navigation

Trade-off

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.

Green: +2
Green

Sensors & Perception

Winner 🏆 Green

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.

Trade-off: +1 each
Green

AI Capabilities

Trade-off

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.

Figure 03: +2
Figure 03

Battery & Power Efficiency

Winner 🏆 Figure 03

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.

Trade-off: +1 each
Green

Use-Case Suitability

Trade-off

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.

Trade-off: +1 each
Green

Safety Features

Trade-off

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.

Trade-off: +1 each
Green

Software Ecosystem

Trade-off

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

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Disclaimer

All content, comparisons, and verdicts on this website are based on our research, testing, and opinion. While we strive for accuracy, we do not guarantee the completeness, reliability, or suitability of any information. Performance, specifications, and results may vary depending on usage and conditions. This website and its authors are not responsible for any decisions, actions, or outcomes based on the information provided. Always verify product details with the manufacturer before making purchase or operational decisions.