Verified Engineering Duel • SpecsLib
Agile ONE SN vs Figure 02: Engineering & Capability Comparison
Independent side-by-side technical evaluation of kinematic DoF, motor torque, sensor platforms, AI architecture, and commercial procurement feasibility.
🇳🇴 Agile RobotsR&D Reference Humanoid / NVIDIA GTC 2026 Launch
Agile ONE SN
Compact German Physical AI reference humanoid powered by NVIDIA Jetson Thor and Isaac GR00T.
DoF Total71 DoF
PrixPricing on Request / Target Early 2027
🇺🇸 Figure AIBMW Industrial Pilot
Figure 02
The production-deployed humanoid combining OpenAI neural models and 16 DoF hands.
DoF Total38 DoF
PrixEnterprise RaaS lease
SpecsLib Engineering Advantage
Global Advantage: Agile ONE SN
Agile ONE SN: 4 • Figure 02: 3
Hardware & Kinematic Specification Matrix
Agile ONE SN vs Figure 02 : Spécifications Complètes
Normalized physical constraints and manufacturer-reported engineering data.
| Metric | Agile ONE SN | Figure 02 |
|---|---|---|
| Industrial StatusProduction readiness | R&D Reference Humanoid / NVIDIA GTC 2026 Launch | BMW Industrial Pilot |
| Estimated PriceLower entry cost | Pricing on Request / Target Early 2027 | Enterprise RaaS lease |
| Origin & ManufacturerManufacturing base | 🇩🇪 Agile Robots (Germany) | 🇺🇸 Figure AI (United States) |
| HeightHuman scale standard | 140 cm | 168 cm |
| WeightLighter is safer for cobots | 43 kg | 70 kg |
| Total Degrees of FreedomHigher articulation dexterity | 71 DoF | 38 DoF |
| Hand & Finger DoFFine manipulation agility | 40 DoF (5-finger dexterous) | 16 DoF (5-finger dexterous) |
| Peak Actuator TorqueJoint torque capability | 140 Nm | 220 Nm |
| Top Locomotion SpeedSprint & throughput speed | Undisclosed | 4.3 km/h |
| Max Payload CapacityHeavy material transport | Undisclosed | 20 kg |
| Payload Per HandSingle-hand lifting capacity | 3 kg | 5 kg |
| Battery RuntimeContinuous duty cycle | Undisclosed | ~5 h (2.25 kWh) |
| 3D LiDAR SensorSpatial SLAM precision | Yes (Integrated) | No (Pure Vision) |
| Onboard Compute ArchitectureEdge inference hardware | NVIDIA Jetson Thor (2,070 FP4 TFLOPS, 128 GB Unified Memory) | Custom 3x neural compute modules (Helix VLA) |
| Real-World Autonomy RatingUnsupervised operational capability (/10) | 8 / 10 | 8.5 / 10 |
When to choose Agile ONE SN
Agile ONE SN : Points Forts & Applications
- Frontier Physical AI research using end-to-end NVIDIA Isaac GR00T foundation models
- High-dexterity manipulation experiments requiring 20 DoF tactile force-controlled hands
- Fast-track simulation-to-reality pipelines combining Isaac Sim, Isaac Lab, and Jetson Thor compute
Accès commercialAgile Robots Direct & NVIDIA Partner Network
When to choose Figure 02
Figure 02 : Points Forts & Applications
- Automotive manufacturers and high-volume industrial assembly lines
- Logistics hubs seeking flexible automation without redesigning manual workstations
- Tier-1 enterprises running large-scale embodied AI pilot programs
Accès commercialDirect Figure AI fleet deployment for enterprise partners (e.g. BMW Spartanburg assembly line).
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