Unitree G1 EDU Ultimate D (U6) Humanoid Robot (US)

Unitree RoboticsSKU: RB-Unt-130
Manufacturer #: G1-EDU-U6-US

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Sale price $105,571.43

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Description

Estimated Lead Time: Orders placed today are expected to ship within ~6-8 weeks.
  • Unitree G1 EDU Ultimate D (U6) Humanoid Robot
  • Five-finger dexterous hand upgraded with integrated tactile sensors
  • 41 total degrees of freedom across legs, arms, waist, and hands
  • NVIDIA Jetson Orin NX onboard computing module rated at 100 TOPS
  • Livox MID-360 LiDAR paired with Intel RealSense depth camera for spatial sensing
  • Quick-release 9000 mAh smart battery for iterative lab sessions
  • Open SDK access supports secondary development and sim-to-real research

The Unitree G1 EDU Ultimate D (U6) Humanoid Robot is a research-oriented bipedal humanoid platform engineered by Unitree Robotics for embodied AI development. Built on the broader G1 EDU chassis, it pairs full-body articulation with a dexterous, human-like hand that can grasp, carry, and manipulate objects in real-world settings. Within the G1 EDU lineup, this Ultimate D configuration stands apart through the addition of tactile sensing in its hand, giving it a more refined sense of touch than earlier variants in the series. It is designed to move fluidly between walking, balancing, and manipulation tasks without needing reconfiguration between them. The platform suits university laboratories, robotics research groups, and organizations developing and testing embodied AI behaviors in controlled or semi-structured settings.

Onboard perception lets the robot sense depth, distance, and nearby obstacles, feeding that awareness into how it balances and moves through a space. Built-in audio and voice capabilities let it listen and respond to nearby operators, supporting natural back-and-forth interaction during demonstrations or shared tasks. Its removable battery pack supports practical runtime for iterative testing before a quick swap returns it to service. Deployment stays flexible thanks to open software access, letting developers extend behaviors, build on ROS-based workflows, and connect custom perception or control pipelines. Universities, robotics startups, and applied AI research teams rely on this openness to prototype new manipulation, locomotion, and interaction policies at their own pace.

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Total DoF
41
Payload
~3 kg
Battery Life
~2 hrs
Computing Power
100 TOPS
Weight
35 kg+
Model Features
The headline hardware systems behind this G1 EDU configuration, from sensing to manipulation to locomotion.
Capabilities

Software, perception, and interaction capabilities that extend the platform beyond raw mechanics.

Environmental Perception

Onboard sensing continuously reads depth, distance, and surrounding obstacles as the robot moves. This awareness feeds directly into balance and navigation decisions in real time.

Open SDK & Simulation Tools

An open software development kit exposes low-level control and telemetry for custom applications. Companion simulation and reinforcement-learning tooling let developers validate behaviors before deploying them to the physical robot.

Natural Human-Robot Interaction

Voice and audio channels let the robot listen for and respond to nearby operators during shared tasks. This supports collaborative demonstrations, guided instruction, and everyday lab interaction.

Modular Developer Ecosystem

Published repositories and reference tooling give developers a starting point for custom perception, control, and teleoperation projects. The ecosystem is designed to grow alongside new research needs rather than lock users into one workflow.

Use Cases & Application Scenarios
Where this configuration fits across research, education, and light-duty demonstration 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 tactile five-finger hand adds touch feedback to those grasping 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 tactile five-finger hand adds touch-aware 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 D (U6) Humanoid Robot

Model: G1-EDU-U6

Included Hand Type: Inspire RH56DFQ Five-Finger with Tactile Sensing
What It Is
Five-Finger Dexterous Hand
Inspire RH56DFQ five-finger hand for more human-like grasping and finer manipulation than three-finger designs.
Integrated Tactile Sensing
Built-in tactile sensing across the fingers adds touch feedback for finer grip control and slip detection.
Expanded Grasp Range
Five independently actuated fingers support a wider variety of grip types and object shapes.
Independent Finger Actuation
Each finger is driven separately, allowing more varied and adaptive grip patterns.
Human-Like Form Factor
Sized and proportioned to approximate a human hand for natural-looking manipulation.
Unitree G1 EDU Ultimate D (U6) Humanoid Robot

Model: G1-EDU-U6

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 D (U6) Humanoid Robot

Model: G1-EDU-U6

Total DOF
High-Power Computing
Developer Support
Hand Type

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