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Humanoid

H2-D

Verified 2026-09-30
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About H2-D

Unitree H2-D is a wheeled dual-arm humanoid with a height-adjustable column. It has 7-DoF arms, a choice of hands and autonomous navigation, and it is built for research, data collection and manipulation tasks.


Manufacturer

Key Specifications

Status
ACTIVE
Category
Humanoid
Verified
2026-09-30
Color
Silver-grey
CPU/GPU
Intel Core i5 (platform PC) and Intel Core i7 (development PC) / optional high-performance NVIDIA Thor module
Gear tech
N/A
Motor tech
Unitree's own permanent magnet joint motors (inferred) / servo motors drive the wheels
Height [cm]
170
Main market
AI training data collection, Developers, light service tasks, Research
Nationality
China
Availability
In production
Connectivity
Bluetooth 5.2, Wi-Fi 6
Manufacturer
Unitree Robotics
LLM integration
Yes. It supports natural voice interaction through its microphone array and speaker.
Max speed (km/h)
5.4
Operating system
Linux-based Unitree system with the Unitree SDK and ROS 2 support
Safe with humans
Largely yes. It has collision and ultrasonic sensors, a slow wheeled base and no fall risk. It has no formal safety certification.
Camera resolution
Wide-view binocular head camera, 2 HD wrist cameras and a depth camera
Number of fingers
5 per hand
Ingress protection
N/A
Latency glass to action
N/A
Main structural material
Aerospace-grade aluminium, titanium alloy and high-strength engineering plastics
Degrees of freedom, hands
6
Runtime pr charge (hours)
5
Degrees of freedom, overall
20

Verified ecosystem

Software and resources

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0
verified official resources
0
verified compatible projects
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public maintainers
No activity yet
latest verified ecosystem activity

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Official resources

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Official software

No official software project has been verified yet.

Community projects

No verified community project has been linked yet.

Developers and contributors

No public maintainer profile is linked yet.

Verified activity

No verified project activity is available.

This ecosystem is still empty

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Catalog data · Last verified: 2026-09-30 · Methodology