Verified Engineering Duel • SpecsLib
Agile ONE SN vs Tesla Optimus Gen 2: 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
🇺🇸 TeslaFactory Pilot (FSD Hardware)
Tesla Optimus Gen 2
Custom Tesla actuators, 22 DoF hands with tactile sensing, and FSD compute.
DoF Total39 DoF
Prix$20,000 - $30,000 (Target)
SpecsLib Engineering Advantage
Global Advantage: Agile ONE SN
Agile ONE SN: 4 • Tesla Optimus Gen 2: 2
Hardware & Kinematic Specification Matrix
Agile ONE SN vs Tesla Optimus Gen 2 : Spécifications Complètes
Normalized physical constraints and manufacturer-reported engineering data.
| Metric | Agile ONE SN | Tesla Optimus Gen 2 |
|---|---|---|
| Industrial StatusProduction readiness | R&D Reference Humanoid / NVIDIA GTC 2026 Launch | Factory Pilot (FSD Hardware) |
| Estimated PriceLower entry cost | Pricing on Request / Target Early 2027 | $20,000 - $30,000 (Target) |
| Origin & ManufacturerManufacturing base | 🇩🇪 Agile Robots (Germany) | 🇺🇸 Tesla (United States) |
| HeightHuman scale standard | 140 cm | 173 cm |
| WeightLighter is safer for cobots | 43 kg | 57 kg |
| Total Degrees of FreedomHigher articulation dexterity | 71 DoF | 39 DoF |
| Hand & Finger DoFFine manipulation agility | 40 DoF (5-finger dexterous) | 22 DoF (5-finger dexterous) |
| Peak Actuator TorqueJoint torque capability | 140 Nm | 250 Nm |
| Top Locomotion SpeedSprint & throughput speed | Undisclosed | 5.4 km/h |
| Max Payload CapacityHeavy material transport | Undisclosed | 20 kg |
| Payload Per HandSingle-hand lifting capacity | 3 kg | 11 kg |
| Battery RuntimeContinuous duty cycle | Undisclosed | ~6 h (2.3 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) | Dual Tesla Hardware 4 (HW4) SoC with custom NPU |
| Real-World Autonomy RatingUnsupervised operational capability (/10) | 8 / 10 | 8 / 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 Tesla Optimus Gen 2
Tesla Optimus Gen 2 : Points Forts & Applications
- Internal manufacturing automation across Tesla automotive and battery lines
- Technology benchmark showcasing convergence of Tesla FSD computer vision with robotics
- Tracking the most aggressive volume-production cost-down trajectory in humanoids
Accès commercialExclusive internal operations at Tesla Gigafactories. Public consumer commercialization targeted for 2026-2027.
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