AgiBot A2 ultravsClearpath Robotics Dingo
Close call. A2 ultra and Dingo trade wins across the matrix.
A2 ultra
0 wins
Dingo
3 wins
Category breakdown
Deploy & operate
Readiness, uptime, navigation & connectivity
- 82Deployment readiness82
- 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
- 29Price accessibility81
- 65ROI clarity68
Capability
Payload, speed, runtime & labor replacement
- 58Labor replacement35
- ≈2 kg max single-arm load (dexterous hand grip ≤3 kg palm-down, ≤8 kg hook grip)Payload20 kg (44 lbs)
- 0.8–1.2 m/s walking speed (max 1.2 m/s)Speed1.3 m/s
- 2–3 hours runtime; ~2 hours charge timeBattery1–4 hours (lead-acid 1–2 hours, lithium-ion 4 hours)
Fit & future
Environment fit, footprint & long-term upside
- 75Environment fit88
- 78Future potential76
- 750 × 300 × 1690 mm (W × D × H)FootprintDingo-D: 551 × 517 × 110 mm; Dingo-O: 686 × 517 × 114 mm
A2 ultra · Best for
Shopping malls and exhibition centers across Asia with heavy foot traffic and multiple floors requiring autonomous guidance and greeter roles
Dingo · Best for
Autonomous navigation experiments in confined spaces (hallways, corridors, lab benches)
Final judgment
Both are credible picks. Decide on cost and supplier proximity, not capability — the gap is small.