Verified Engineering Duel • SpecsLib
Agile ONE SN vs Yobotics E1 (Xingzhe Taishan): 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
🇨🇳 Shandong YoboticsExtreme Terrain Bipedal Humanoid / Field Trial Pilot
Yobotics E1 (Xingzhe Taishan)
Compact extreme-terrain bipedal humanoid proven on Mount Taishan's 3,100 irregular mountain stone steps.
DoF Total32 DoF
PrixEstimated $25,000 / R&D Pilot Allocation
SpecsLib Engineering Advantage
Global Advantage: Agile ONE SN
Agile ONE SN: 3 • Yobotics E1 (Xingzhe Taishan): 2
Hardware & Kinematic Specification Matrix
Agile ONE SN vs Yobotics E1 (Xingzhe Taishan) : Spécifications Complètes
Normalized physical constraints and manufacturer-reported engineering data.
| Metric | Agile ONE SN | Yobotics E1 (Xingzhe Taishan) |
|---|---|---|
| Industrial StatusProduction readiness | R&D Reference Humanoid / NVIDIA GTC 2026 Launch | Extreme Terrain Bipedal Humanoid / Field Trial Pilot |
| Estimated PriceLower entry cost | Pricing on Request / Target Early 2027 | Estimated $25,000 / R&D Pilot Allocation |
| Origin & ManufacturerManufacturing base | 🇩🇪 Agile Robots (Germany) | 🇨🇳 Shandong Yobotics (China) |
| HeightHuman scale standard | 140 cm | 140 cm |
| WeightLighter is safer for cobots | 43 kg | 39 kg |
| Total Degrees of FreedomHigher articulation dexterity | 71 DoF | 32 DoF |
| Hand & Finger DoFFine manipulation agility | 40 DoF (5-finger dexterous) | 6 DoF (Gripper) |
| Peak Actuator TorqueJoint torque capability | 140 Nm | 150 Nm |
| Top Locomotion SpeedSprint & throughput speed | Undisclosed | 3.5 km/h |
| Max Payload CapacityHeavy material transport | Undisclosed | 10 kg |
| Payload Per HandSingle-hand lifting capacity | 3 kg | 3 kg |
| Battery RuntimeContinuous duty cycle | Undisclosed | ~2.5 h (1.2 kWh) |
| 3D LiDAR SensorSpatial SLAM precision | Yes (Integrated) | Yes (Integrated) |
| Onboard Compute ArchitectureEdge inference hardware | NVIDIA Jetson Thor (2,070 FP4 TFLOPS, 128 GB Unified Memory) | Onboard Neural Processing Unit & High-Frequency Dynamic Motion Controller |
| Real-World Autonomy RatingUnsupervised operational capability (/10) | 8 / 10 | 7 / 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 Yobotics E1 (Xingzhe Taishan)
Yobotics E1 (Xingzhe Taishan) : Points Forts & Applications
- Outdoor field robotics research tackling non-standard stairs, unpaved cobblestones, and steep mountain inclines
- Whole-body dynamic balance and proprioceptive torque control validation under continuous physical loading
- Industrial inspection in harsh multi-level environments such as civil infrastructure, mines, and mountain towers
Accès commercialShandong Yobotics Direct Enterprise & Academic Research Consortiums
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