Side-by-side comparison of AgiBot (智元创新(上海)科技股份有限公司) and AGIBOT A2 Ultra (Agibot Innovation (Shanghai) Technology Co., Ltd.) — specs, pricing, Robolist Trust Score, and verified deployments. Updated daily.
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27.9Trust Score | AGIBOT A2 UltrahumanoidAgibot Innovation (Shanghai) Technology Co., Ltd.—Trust Score | |
|---|---|---|
| Layer 1: Identity & Trust | ||
| Manufacturer Country (values differ) | China | CN |
| Year First Available (values differ) | 2023 | — |
| Verified Deployments | 0 Deployments | 0 Deployments |
| Layer 2: Operational | ||
| Battery / Shift Runtime (values differ) | 2 hrs | — |
| Availability Status | ACTIVE | ACTIVE |
| Layer 3: Category Specific | ||
| Physical Form Factor | ||
| Height (values differ) | 1750 mm | — |
| Weight (values differ) | 85 kg | — |
| Mobility Type | bipedal | bipedal |
| Humanoid Subtype | full bipedal | full bipedal |
| Walking Speed (values differ) | 1.9 m/s | — |
| Battery & Power | ||
| Runtime (values differ) | 2 hrs | — |
| Commercial | ||
| Applications (values differ) | — | manufacturing_assembly |
Insufficient data for full comparison
The following fields had no data for any of the selected robots: Price Range (USD), Running Capable, Stair Climbing, Terrain, Payload, Payload (Peak), Total DOF, Arm DOF, Hand DOF, Arm Reach, Grip Strength, Manipulation Repeatability, Bimanual Coordination, Tool Use, Onboard Compute, Compute Platform, VLM Capable, Foundation Models, Imitation Learning, Teleoperation, Programming, Battery Capacity, Charging Time, Charging Method, Battery Swap, Avg Power Consumption, Force-Limited Arms, Fall Recovery, Fall Detection Response, Emergency Stops, Human Detection Method, Safe Speed Near Humans, SDK Languages, ROS Support, Simulation Platforms, Open API, Air-Gap Capable, MTBF, Task Success Rate, Deployment Maturity, IP Rating, Noise Level, Price (USD), Price Tier, RaaS / Month, Pricing Model, Developer Unit Price, Delivery Lead Time, Warranty, Production Pilots
AgiBot vs AGIBOT A2 Ultra compares two robots in the humanoid category. All data is sourced from manufacturer spec sheets, verified deployments, and third-party filings; see our methodology for how the Robolist Trust Score is calculated.