MagicLab MagicDog-WvsUnitree As2
Unitree As2 leads on 6 of 7 dimensions — strongest on deployment readiness.
MagicDog-W
0 wins
As2
4 wins
Category breakdown
Deploy & operate
Readiness, uptime, navigation & connectivity
- 35Deployment 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
- 30Price accessibility35
- 25ROI clarity58
Capability
Payload, speed, runtime & labor replacement
- 30Labor replacement65
- 10 kg maximumPayload25 kg (continuous walking); 100 kg (stationary)
- 3.0 m/s top speedSpeed5 m/s (11 mph)
- 2 to 4 hours nominal enduranceBattery5 hours unloaded (20 km); 3 hours loaded (12.5 km)
Fit & future
Environment fit, footprint & long-term upside
- 50Environment fit78
- 70Future potential75
- —Footprint82 cm (H) × 44 cm (W) × 57 cm (L)
MagicDog-W · Best for
University robotics labs testing hybrid wheel-leg locomotion and AI-guided navigation
As2 · Best for
Industrial inspection and emergency rescue across complex environments
Final judgment
If immediate deployment is the priority, choose As2. If the goal is to be ready when MagicDog-W's capabilities mature, track it.