DEEP Robotics Jueying X30vsUnitree Go2

DEEP Robotics Jueying X30 leads on 3 of 7 dimensions — strongest on ROI clarity.

Jueying X30
1 wins
vs
Go2
0 wins

Category breakdown

Deploy & operate

Readiness, uptime, navigation & connectivity

Even
  • 82
    Deployment readiness
    78
  • 60
    Maintenance confidence
    60
  • Vision-led navigation (estimated)
    Navigation
    Vision-led navigation (estimated)
  • Wi-Fi / cloud fleet management (estimated)
    Connectivity
    Wi-Fi / cloud fleet management (estimated)

Cost & ROI

Price accessibility and ROI clarity

Even
  • 51
    Price accessibility
    87
  • 76
    ROI clarity
    65

Capability

Payload, speed, runtime & labor replacement

Even
  • 70
    Labor replacement
    45
  • Payload
    up to 12 kg
  • Speed
    Pro: ~2.8 m/s; Edu: 5 m/s peak
  • 2.5–4 hours operation
    Battery
    1–2 hours (8,000 mAh standard); 2–4 hours (15,000 mAh optional)

Fit & future

Environment fit, footprint & long-term upside

Jueying X30
  • 85
    Environment fit
    72
  • 80
    Future potential
    81
  • 715 × 1000 × 470 (W × D × H, mm)
    Footprint
    70 × 31 × 40 cm (standing)
Jueying X30 · Best for

Full-station power-substation inspection under 35 minutes covering 90+ equipment pieces per cycle

Go2 · Best for

3D LiDAR mapping of indoor/outdoor spaces and autonomous patrol routes

Final judgment

Both are credible picks. Decide on cost and supplier proximity, not capability — the gap is small.

More head-to-head