A2-W vs G1 Edu Ultimate D
Side-by-side comparison of A2-W (Agibot Innovation (Shanghai) Technology Co., Ltd.) and G1 Edu Ultimate D (Unitree Robotics) — specs, pricing, Robo Score, and verified deployments. Updated daily.
Optimize comparison for buyer
Optimized for Cleaning & Facilities buyers. Priority specs lifted to the top and marked with a target.
Layer 1: Identity & Trust
Manufacturer Country
- A2-WChina
- G1 Edu Ultimate DChina
Year First Available
- A2-W2023
- G1 Edu Ultimate D—
Verified Deployments
- A2-W0 Deployments
- G1 Edu Ultimate D0 Deployments
Layer 2: Operational
Price
- A2-W$145,000 USD
- G1 Edu Ultimate D$67,900–$73,900 USD
Battery / Shift Runtime
- A2-W2 hrs
- G1 Edu Ultimate D2 hrs
Availability Status
- A2-WACTIVE
- G1 Edu Ultimate DACTIVE
Physical Form Factor
Weight
- A2-W69 kg
- G1 Edu Ultimate D35 kg
Height
- A2-W163 mm
- G1 Edu Ultimate D1270 mm
Mobility Type
- A2-Wwheeled
- G1 Edu Ultimate Dbipedal
Humanoid Subtype
- A2-Wwheeled humanoid
- G1 Edu Ultimate Dfull bipedal
Walking Speed
- A2-W1.9 m/s
- G1 Edu Ultimate D2 m/s
Stair Climbing
- A2-Wnone
- G1 Edu Ultimate DYes
Terrain
- A2-Wflat_indoor
- G1 Edu Ultimate Drough terrain
Payload & Dexterity
Payload
- A2-W5 kg
- G1 Edu Ultimate D3 kg
Total DOF
- A2-W22
- G1 Edu Ultimate D41
Arm DOF
- A2-W7
- G1 Edu Ultimate D7
Hand DOF
- A2-W17
- G1 Edu Ultimate D5
Bimanual Coordination
- A2-Wcoordinated planning
- G1 Edu Ultimate DNo
Compute & AI
Onboard Compute
- A2-W275 TOPS
- G1 Edu Ultimate DNVIDIA Jetson Orin 16G
VLM Capable
- A2-WNo
- G1 Edu Ultimate DNo
Foundation Models
- A2-Wfalse
- G1 Edu Ultimate Dfalse
Imitation Learning
- A2-WNo
- G1 Edu Ultimate DNo
Programming
- A2-Wcode_python, visual_block
- G1 Edu Ultimate D100 TOPS AI Secondary development
Battery & Power
Runtime
- A2-W5 hrs
- G1 Edu Ultimate D2 hrs
Battery Capacity
- A2-W2 kWh
- G1 Edu Ultimate D—
Charging Time
- A2-W2 hrs
- G1 Edu Ultimate D—
Charging Method
- A2-Wmanual swap
- G1 Edu Ultimate D—
Battery Swap
- A2-WYes
- G1 Edu Ultimate DNo
Safety
Human Detection Method
- A2-Wmulti modal
- G1 Edu Ultimate D—
Software
SDK Languages
- A2-Wcode_python, visual_block
- G1 Edu Ultimate DPython
ROS Support
- A2-WNo
- G1 Edu Ultimate DNo
Open API
- A2-WNo
- G1 Edu Ultimate DNo
Reliability
Deployment Maturity
- A2-Wcommercial
- G1 Edu Ultimate Dcommercial
Commercial
Price (USD)
- A2-W$145,000 USD
- G1 Edu Ultimate D$67,900–$73,900 USD
Price Tier
- A2-W80-150K
- G1 Edu Ultimate D500k_plus
Pricing Model
- A2-Wpurchase
- G1 Edu Ultimate Doutright purchase
Warranty
- A2-W2 yrs
- G1 Edu Ultimate D1 yrs
Applications
- A2-Wcustomer_service, manufacturing, logistics, healthcare
- G1 Edu Ultimate Dresearch
| | |
|---|---|---|
| Layer 1: Identity & Trust | ||
| Manufacturer Country | China | China |
| Year First Available (values differ) | 2023 | — |
| Verified Deployments | 0 Deployments | 0 Deployments |
| Layer 2: Operational | ||
| Price (values differ) | $145,000 USD | $67,900–$73,900 USD |
| Battery / Shift Runtime (priority for Cleaning & Facilities buyers) | 2 hrs | 2 hrs |
| Availability Status | ACTIVE | ACTIVE |
| Layer 3: Category Specific | ||
| Physical Form Factor | ||
| Weight (priority for Cleaning & Facilities buyers) (values differ) | 69 kg | 35 kg |
| Height (values differ) | 163 mm | 1270 mm |
| Mobility Type (values differ) | wheeled | bipedal |
| Humanoid Subtype (values differ) | wheeled humanoid | full bipedal |
| Walking Speed (values differ) | 1.9 m/s | 2 m/s |
| Stair Climbing (values differ) | none | Yes |
| Terrain (values differ) | flat_indoor | rough terrain |
| Payload & Dexterity | ||
| Payload (values differ) | 5 kg | 3 kg |
| Total DOF (values differ) | 22 | 41 |
| Arm DOF | 7 | 7 |
| Hand DOF (values differ) | 17 | 5 |
| Bimanual Coordination (values differ) | coordinated planning | No |
| Compute & AI | ||
| Onboard Compute (values differ) | 275 TOPS | NVIDIA Jetson Orin 16G |
| VLM Capable | No | No |
| Foundation Models | false | false |
| Imitation Learning | No | No |
| Programming (values differ) | code_python, visual_block | 100 TOPS AI Secondary development |
| Battery & Power | ||
| Runtime (values differ) | 5 hrs | 2 hrs |
| Battery Capacity (values differ) | 2 kWh | — |
| Charging Time (values differ) | 2 hrs | — |
| Charging Method (values differ) | manual swap | — |
| Battery Swap (values differ) | Yes | No |
| Safety | ||
| Human Detection Method (values differ) | multi modal | — |
| Software | ||
| SDK Languages (values differ) | code_python, visual_block | Python |
| ROS Support | No | No |
| Open API | No | No |
| Reliability | ||
| Deployment Maturity | commercial | commercial |
| Commercial | ||
| Price (USD) (values differ) | $145,000 USD | $67,900–$73,900 USD |
| Price Tier (values differ) | 80-150K | 500k_plus |
| Pricing Model (values differ) | purchase | outright purchase |
| Warranty (values differ) | 2 yrs | 1 yrs |
| Applications (values differ) | customer_service, manufacturing, logistics, healthcare | research |
Insufficient data for full comparison
The following fields had no data for any of the selected robots: Running Capable, Payload (Peak), Arm Reach, Grip Strength, Manipulation Repeatability, Tool Use, Compute Platform, Teleoperation, Avg Power Consumption, Force-Limited Arms, Fall Recovery, Fall Detection Response, Emergency Stops, Safe Speed Near Humans, Simulation Platforms, Air-Gap Capable, MTBF, Task Success Rate, IP Rating, Noise Level, RaaS / Month, Developer Unit Price, Delivery Lead Time, Production Pilots
ROI Comparison
Same operating assumptions across every robot — the only difference is price. Set your numbers once to see which pays back fastest.
Annual labor displaced (per robot): $50,000
| Metric | A2-W | G1 Edu Ultimate D |
|---|---|---|
| Investment | $145,000 | $70,900 |
| Payback period | 34.8 mo | 17.0 mo |
| Net savings (5 yr) | $105,000 | $179,100 |
| ROI (5 yr) | +72% | +253% |
Estimates labor-cost displacement only — not a full total cost of ownership. Actual ROI depends on integration, maintenance, training, downtime, and task fit. Converted currencies are indicative; USD is the price of record.
Trade-offs at a glance
Frequently asked
Who makes A2-W and G1 Edu Ultimate D?
A2-W is made by Agibot Innovation (Shanghai) Technology Co., Ltd., based in CN. G1 Edu Ultimate D is made by Unitree Robotics, based in CN.
How do A2-W and G1 Edu Ultimate D compare on the Robo Score?
A2-W scores 69.0 on the Robo Score. G1 Edu Ultimate D scores 60.7. The Robo Score is a 0–100 credibility figure blending commercial maturity, verified deployments, company standing, and independent coverage — see methodology for the full breakdown.
What is the payload difference between A2-W and G1 Edu Ultimate D?
A2-W carries up to 15 kg. G1 Edu Ultimate D carries up to 3 kg.
Are A2-W and G1 Edu Ultimate D in the same category?
Both robots are classified as Humanoid on Robolist. Filters and ranking treat them as direct alternatives.
What is the realistic total cost of ownership for Humanoid robots?
Hardware cost is one input. Humanoid TCO also includes integration, training, downtime, and end-of-life. Our breakdown: Humanoid TCO: Hardware, Cloud Subscriptions, and the Cost of Teleop Time.
What should a buyer ask vendors when choosing between A2-W and G1 Edu Ultimate D?
Spec sheets only show part of the story. Useful vendor questions cover support, lifecycle, integration cost, and references. We have a buyer-focused checklist: Vendor Selection for Humanoids: The 10 Questions You Must Ask.
Going deeper — picking the right robot
Humanoid TCO: Hardware, Cloud Subscriptions, and the Cost of Teleop Time
8 min readHumanoid Robots
Vendor Selection for Humanoids: The 10 Questions You Must Ask
10 min readHumanoid Robots
Running a Humanoid Pilot: Scope, Success Criteria, and Exit Options
9 min readHumanoid Robots
Build vs buy vs lease: which model fits a first deployment
8 min readChoosing Your First Robot
The hidden specs vendors hope you'll miss
10 min readReading the Spec Sheet
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About this comparison
A2-W vs G1 Edu Ultimate D 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 Robo Score is calculated.