Fourier Intelligence GR-2vsUnitree Aliengo
Unitree Aliengo leads on 5 of 7 dimensions — strongest on deployment readiness.
GR-2
0 wins
Aliengo
4 wins
Category breakdown
Deploy & operate
Readiness, uptime, navigation & connectivity
- 58Deployment readiness72
- 60Maintenance confidence60
- Vision-led navigation (estimated)NavigationVision-led navigation (estimated)
- Wi-Fi / cloud fleet management (estimated)ConnectivityWi-Fi / cloud fleet management (estimated)
Cost & ROI
Price accessibility and ROI clarity
- 32Price accessibility59
- 42ROI clarity62
Capability
Payload, speed, runtime & labor replacement
- 35Labor replacement55
- 3 kg (single-arm load capacity)Payloadup to 13 kg
- Up to 5 km/h walking speedSpeed>1.5 m/s max walking speed
- Up to 2 hoursBattery2.5–4.6 h operating time
Fit & future
Environment fit, footprint & long-term upside
- 72Environment fit78
- 78Future potential75
- 175 cm heightFootprint650 × 310 × 600 mm (stand); 600 × 310 × 150 mm (fold)
GR-2 · Best for
Embodied AI research on grasping, force feedback, and sim-to-real transfer
Aliengo · Best for
University SLAM and robotics coursework: 4.6 h endurance, developer-friendly I/O (GbE, USB 3.0), and ROS support enable weeks of lab experiments and student projects without infrastructure lock-in.
Final judgment
If immediate deployment is the priority, choose Aliengo. If the goal is to be ready when GR-2's capabilities mature, track it.