Unitree G1 EDU Ultimate A (U3) Humanoid Robot (US)

Unitree RoboticsSKU: RB-Unt-56
Manufacturer #: G1-EDU-U3

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Description

Estimated Lead Time: Orders placed today are expected to ship within ~6-8 weeks.
  • Unitree G1 EDU Ultimate A (U3) Humanoid Robot
  • 43 degrees of freedom with a Dex3-1 three-finger dexterous hand, 7 DOF per hand
  • NVIDIA Jetson Orin NX (100 TOPS) onboard AI computing plus 8-core Cortex-A78AE development unit
  • Livox MID-360 3D LiDAR and Intel RealSense D435i depth camera for scene perception
  • Quick-release 9000 mAh smart battery for about 2 hours of runtime
  • Bipedal legs with 6 DOF per leg and 120 N.m peak knee joint torque
  • Includes manual controller and 54V 5A charger, backed by SDK access for secondary development

The Unitree G1 EDU Ultimate A (U3) Humanoid Robot is a bipedal humanoid robot and robotics research platform built by Unitree Robotics for embodied AI and advanced robotics development. It pairs full-body articulation with a dedicated dexterous hand, allowing it to walk, balance, and manipulate objects with human-like coordination. As the first tier in the EDU Ultimate lineup to add genuine hand-level dexterity, this configuration moves beyond the earlier Standard and Plus variants that ship without manipulation hardware. It suits university laboratories, robotics competitions, and developer environments where hands-on manipulation research is the priority.

Onboard perception combines depth sensing and long-range spatial scanning so the robot can build an understanding of its surroundings and adjust its movements in response to obstacles and terrain changes. Voice input and audio output support natural spoken interaction, letting the robot register nearby speech and respond audibly during demonstrations or collaborative tasks. A swappable battery pack keeps downtime short between sessions, supporting iterative testing without long charging pauses. Open access to its software development kit and compatibility with ROS-based workflows position it as a flexible research platform for custom perception and control research. This combination of open access and modular hardware makes it well suited to universities, research institutes, and robotics companies pursuing humanoid locomotion and manipulation studies.

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Total DoF
43
Arm Payload
~3 kg
Battery Life
~2 hrs
Computing Power
100 TOPS
Weight
~35 kg
Model Features
Explore the core hardware systems that give this configuration its perception, manipulation, and mobility capabilities.
Capabilities

A closer look at the platform's perception, software, and developer-facing capabilities.

Environmental Perception

Continuously senses its surroundings to detect obstacles, terrain changes, and nearby objects in real time. This awareness lets the robot adapt its movement and avoid collisions during autonomous operation.

Open SDK & Simulation Tools

Provides open access to a software development kit so teams can write custom control code and test new behaviors. Simulation and reinforcement learning tooling support sim-to-real workflows before deploying to the physical robot.

Natural Human-Robot Interaction

Supports spoken interaction through onboard audio input and output, enabling natural voice-based communication during demonstrations. This makes collaborative tasks and public-facing showcases more intuitive.

Modular Developer Ecosystem

Exposes standard networking and expansion interfaces so third-party sensors, tools, and accessories can be integrated. This modularity lets research teams extend the platform for custom experiments.

Use Cases & Application Scenarios
See how this configuration performs across research, educational, and light industrial settings.
Robotics Lab & Research Deployment
Deployed on lab benches and research platforms, the robot supports locomotion and manipulation experiments as teams iterate between simulation and physical hardware. Its LiDAR, depth camera, and onboard AI compute let researchers log detailed telemetry from every trial and compare results across sessions. Its three-finger Dex3-1 hand adds precise object handling to those trials. 
Collaborative & Educational Interaction
In classroom and lab settings, the robot engages students and visitors through voice interaction and expressive movement, making embodied AI concepts easier to grasp firsthand. Its built-in microphone array and speaker support natural back-and-forth exchanges, letting it respond during a live session rather than follow a fixed script. That combination of movement and conversation gives instructors and demonstrators a hands-on way to introduce core robotics and embodied AI concepts. 
Demonstration & Light Industrial Trials
At trade shows, technology expos, and light industrial pilot programs, the platform demonstrates coordinated bipedal movement and stable balance recovery in front of live audiences. Operators can walk it through structured routines that highlight smooth, repeatable motion under real-world observation conditions. Its Dex3-1 hand adds precise pick-and-place handling to the routine, showing off manipulation alongside locomotion. 
Ongoing Development & Platform Growth
Development teams use the open computing stack and secondary development access to prototype new perception, control, and manipulation behaviors made possible by its dexterous hand, with the platform evolving through ongoing software updates. Compatible with ROS-based workflows and the Unitree SDK, it supports everything from custom perception pipelines to full sim-to-real manipulation policy transfer. Regular OTA updates keep the platform current as new tools and reference behaviors become available. 
Key Components
Single Arm DOF
5 DOF per arm
Single Leg DOF
6 DOF per leg
Waist DOF
3 DOF
Joint Torque / Actuation
120 N.m peak knee joint torque
Arm Maximum Load
About 3 kg arm payload
3D LiDAR
Livox MID-360, 360° horizontal FOV, 59° vertical range
Depth Camera
Intel RealSense D435i, RGB-D vision
Microphone Array & Speaker
4-microphone array + 5 W speaker
Onboard Computing
NVIDIA Jetson Orin NX, 100 TOPS AI compute
Battery & Wiring
9000 mAh quick-release battery, about 2 hours runtime; full joint hollow electrical routing
Unitree G1 EDU Ultimate A (U3) Humanoid Robot

Model: G1-EDU-U3

Included Hand Type: Dex3-1 Three-Finger
What It Is
Three-Finger Dexterous Hand
Unitree Dex3-1 hand with 7 degrees of freedom per hand for precise grasping and manipulation.
No Tactile Sensing
This configuration ships without the tactile sensor array, relying on force-position hybrid grasping.
Force-Position Hybrid Control
Combines position and force control for a stable, adaptive grip across a range of object shapes.
Operating Voltage: 12 to 58V
Powered directly from the robot's main battery bus, no separate power supply needed.
Precision Grasping
Well suited to pick-and-place research tasks involving rigid and semi-rigid objects.
Unitree G1 EDU Ultimate A (U3) Humanoid Robot

Model: G1-EDU-U3

Height, Width and Thickness (Stand)
Height, Width and Thickness (Fold)
Weight (With Battery)
Calf + Thigh Length
Arm Span

Values shown are from the manufacturer's reference.

Unitree G1 EDU Ultimate A (U3) Humanoid Robot

Model: G1-EDU-U3

Total DOF
High-Power Computing
Developer Support
Hand Type

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