傅利叶智能GR-1通用人形机器人 vs HUBO2
Side-by-side comparison of 傅利叶智能GR-1通用人形机器人 (上海傅利叶智能科技股份有限公司) and HUBO2 (Rainbow Robotics Co., Ltd.) — specs, pricing, Robolist Trust Score, and verified deployments. Updated daily.
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Optimized for Healthcare & Hospitals buyers. Priority specs lifted to the top and marked with a target.
Layer 1: Identity & Trust
Manufacturer Country
傅利叶智能GR-1通用人形机器人CN
HUBO2KR
Year First Available
- 傅利叶智能GR-1通用人形机器人2023
- HUBO2—
Verified Deployments
- 傅利叶智能GR-1通用人形机器人0 Deployments
- HUBO20 Deployments
Layer 2: Operational
Availability Status
- 傅利叶智能GR-1通用人形机器人ACTIVE
- HUBO2ACTIVE
Physical Form Factor
Height
- 傅利叶智能GR-1通用人形机器人165 mm
- HUBO2—
Weight
- 傅利叶智能GR-1通用人形机器人55 kg
- HUBO2—
Mobility Type
- 傅利叶智能GR-1通用人形机器人bipedal
- HUBO2—
Humanoid Subtype
- 傅利叶智能GR-1通用人形机器人full bipedal
- HUBO2—
Walking Speed
- 傅利叶智能GR-1通用人形机器人1.4 m/s
- HUBO2—
Running Capable
- 傅利叶智能GR-1通用人形机器人run capable
- HUBO2—
Terrain
- 傅利叶智能GR-1通用人形机器人flat_indoor, mild_incline, rough_indoor, outdoor_unstructured
- HUBO2—
Payload & Dexterity
Payload
- 傅利叶智能GR-1通用人形机器人50 kg
- HUBO2—
Payload (Peak)
- 傅利叶智能GR-1通用人形机器人50 kg
- HUBO2—
Total DOF
- 傅利叶智能GR-1通用人形机器人44
- HUBO2—
Compute & AI
Teleoperation
- 傅利叶智能GR-1通用人形机器人joystick, web_interface
- HUBO2—
Programming
- 傅利叶智能GR-1通用人形机器人code_python, proprietary_app, teleoperation
- HUBO2—
Software
SDK Languages
- 傅利叶智能GR-1通用人形机器人code_python, proprietary_app, teleoperation
- HUBO2—
Open API
- 傅利叶智能GR-1通用人形机器人Yes
- HUBO2—
Reliability
Deployment Maturity
- 傅利叶智能GR-1通用人形机器人prototype
- HUBO2—
Commercial
Applications
- 傅利叶智能GR-1通用人形机器人eldercare_assistance, research, teleoperation
- HUBO2—
| 傅利叶智能GR-1通用人形机器人humanoid上海傅利叶智能科技股份有限公司 46.5Trust Score | HUBO2humanoidRainbow Robotics Co., Ltd. 17.4Trust Score | |
|---|---|---|
| Layer 1: Identity & Trust | ||
| Manufacturer Country (values differ) | CN | KR |
| Year First Available (values differ) | 2023 | — |
| Verified Deployments | 0 Deployments | 0 Deployments |
| Layer 2: Operational | ||
| Availability Status | ACTIVE | ACTIVE |
| Layer 3: Category Specific | ||
| Physical Form Factor | ||
| Height (values differ) | 165 mm | — |
| Weight (values differ) | 55 kg | — |
| Mobility Type (values differ) | bipedal | — |
| Humanoid Subtype (values differ) | full bipedal | — |
| Walking Speed (values differ) | 1.4 m/s | — |
| Running Capable (values differ) | run capable | — |
| Terrain (values differ) | flat_indoor, mild_incline, rough_indoor, outdoor_unstructured | — |
| Payload & Dexterity | ||
| Payload (values differ) | 50 kg | — |
| Payload (Peak) (values differ) | 50 kg | — |
| Total DOF (values differ) | 44 | — |
| Compute & AI | ||
| Teleoperation (values differ) | joystick, web_interface | — |
| Programming (values differ) | code_python, proprietary_app, teleoperation | — |
| Software | ||
| SDK Languages (values differ) | code_python, proprietary_app, teleoperation | — |
| Open API (values differ) | Yes | — |
| Reliability | ||
| Deployment Maturity (values differ) | prototype | — |
| Commercial | ||
| Applications (values differ) | eldercare_assistance, research, teleoperation | — |
Insufficient data for full comparison
The following fields had no data for any of the selected robots: Price Range (USD), Battery / Shift Runtime, Stair Climbing, Arm DOF, Hand DOF, Arm Reach, Grip Strength, Manipulation Repeatability, Bimanual Coordination, Tool Use, Onboard Compute, Compute Platform, VLM Capable, Foundation Models, Imitation Learning, Runtime, 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, IP Rating, Noise Level, Price (USD), Price Tier, RaaS / Month, Pricing Model, Developer Unit Price, Delivery Lead Time, Warranty, Production Pilots
About this comparison
傅利叶智能GR-1通用人形机器人 vs HUBO2 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.