AGIBOT A2 Ultra vs Champion Model
Side-by-side comparison of AGIBOT A2 Ultra (Agibot Innovation (Shanghai) Technology Co., Ltd.) and Champion Model (Booster Technology) — specs, pricing, Robolist Trust Score, and verified deployments. Updated daily.
Optimize comparison for buyer
Optimized for Hospitality & F&B buyers. Priority specs lifted to the top and marked with a target.
Layer 1: Identity & Trust
Manufacturer Country
AGIBOT A2 UltraCN
Champion ModelCN
Year First Available
- AGIBOT A2 Ultra—
- Champion Model2025
Verified Deployments
- AGIBOT A2 Ultra0 Deployments
- Champion Model0 Deployments
Layer 2: Operational
Battery / Shift Runtime
- AGIBOT A2 Ultra—
- Champion Model2 hrs
Availability Status
- AGIBOT A2 UltraACTIVE
- Champion ModelACTIVE
Physical Form Factor
Weight
- AGIBOT A2 Ultra—
- Champion Model38.6 kg
Height
- AGIBOT A2 Ultra—
- Champion Model1200 mm
Mobility Type
- AGIBOT A2 Ultrabipedal
- Champion Model—
Humanoid Subtype
- AGIBOT A2 Ultrafull bipedal
- Champion Model—
Terrain
- AGIBOT A2 Ultra—
- Champion Modelboth
Payload & Dexterity
Payload
- AGIBOT A2 Ultra—
- Champion Model4.5 kg
Total DOF
- AGIBOT A2 Ultra—
- Champion Model23
Arm DOF
- AGIBOT A2 Ultra—
- Champion Model4
Hand DOF
- AGIBOT A2 Ultra—
- Champion Model1
Compute & AI
Onboard Compute
- AGIBOT A2 Ultra—
- Champion ModelNvidia AGX Orin
Programming
- AGIBOT A2 Ultra—
- Champion Modelcomprehensive_api
Battery & Power
Runtime
- AGIBOT A2 Ultra—
- Champion Model2 hrs
Software
SDK Languages
- AGIBOT A2 Ultra—
- Champion Modelcomprehensive_api
Open API
- AGIBOT A2 Ultra—
- Champion ModelYes
Commercial
Warranty
- AGIBOT A2 Ultra—
- Champion Model1 yrs
Applications
- AGIBOT A2 Ultramanufacturing_assembly
- Champion Modeltransport
| AGIBOT A2 UltrahumanoidAgibot Innovation (Shanghai) Technology Co., Ltd. 16.0Trust Score | Champion ModelhumanoidBooster Technology 37.2Trust Score | |
|---|---|---|
| Layer 1: Identity & Trust | ||
| Manufacturer Country | CN | CN |
| Year First Available (values differ) | — | 2025 |
| Verified Deployments | 0 Deployments | 0 Deployments |
| Layer 2: Operational | ||
| Battery / Shift Runtime (priority for Hospitality & F&B buyers) (values differ) | — | 2 hrs |
| Availability Status | ACTIVE | ACTIVE |
| Layer 3: Category Specific | ||
| Physical Form Factor | ||
| Weight (priority for Hospitality & F&B buyers) (values differ) | — | 38.6 kg |
| Height (values differ) | — | 1200 mm |
| Mobility Type (values differ) | bipedal | — |
| Humanoid Subtype (values differ) | full bipedal | — |
| Terrain (values differ) | — | both |
| Payload & Dexterity | ||
| Payload (values differ) | — | 4.5 kg |
| Total DOF (values differ) | — | 23 |
| Arm DOF (values differ) | — | 4 |
| Hand DOF (values differ) | — | 1 |
| Compute & AI | ||
| Onboard Compute (values differ) | — | Nvidia AGX Orin |
| Programming (values differ) | — | comprehensive_api |
| Battery & Power | ||
| Runtime (values differ) | — | 2 hrs |
| Software | ||
| SDK Languages (values differ) | — | comprehensive_api |
| Open API (values differ) | — | Yes |
| Commercial | ||
| Warranty (values differ) | — | 1 yrs |
| Applications (values differ) | manufacturing_assembly | transport |
Insufficient data for full comparison
The following fields had no data for any of the selected robots: Price Range (USD), Walking Speed, Running Capable, Stair Climbing, Payload (Peak), Arm Reach, Grip Strength, Manipulation Repeatability, Bimanual Coordination, Tool Use, Compute Platform, VLM Capable, Foundation Models, Imitation Learning, Teleoperation, 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, ROS Support, Simulation Platforms, 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, Production Pilots
About this comparison
AGIBOT A2 Ultra vs Champion Model 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.