Unitree G1 EDU Ultimate B (U4) Humanoid Robot

Unitree RoboticsSKU: RB-Unt-49
Manufacturer #: G1-EDU-U4

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Sale price $97,000.00

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Description

Estimated Lead Time: Orders placed today are expected to ship within ~6-8 weeks.
  • Unitree G1 EDU Ultimate B (U4) Humanoid Robot
  • Dex3-1 three-finger dexterous hand upgraded with a 9-sensor tactile array, 7 DOF per hand
  • 43 total degrees of freedom across legs, arms, and waist (distributor-reported)
  • NVIDIA Jetson Orin NX onboard computing module rated at 100 TOPS
  • Livox MID-360 LiDAR paired with Intel RealSense D435i 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 B (U4) 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 B configuration stands apart through the addition of tactile sensing in its hand, giving it a more refined sense of touch than the U3 tier. 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.

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
43
Payload
~3 kg
Battery Life
~2 hrs
Computing Power
100 TOPS
Weight
35 kg+
Model Features
Hover or tap a panel to explore the hardware systems behind this humanoid platform.
Capabilities

Software, perception, and interaction features that extend the platform beyond its core hardware.

Environmental Perception

Fuses camera and spatial sensing data into a continuous awareness of nearby people, objects, and terrain. This feeds the onboard AI stack that reacts to changes in real time.

Open SDK & Simulation Tools

Secondary development access and a published SDK let engineers write and test their own control code. Companion simulation and reinforcement-learning tooling support sim-to-real research workflows.

Natural Human-Robot Interaction

Voice interaction and audio feedback let the robot listen for spoken commands and respond during collaborative tasks. This supports natural, hands-free coordination alongside human operators.

Modular Developer Ecosystem

Wired networking, USB interfaces, and continuous over-the-air updates keep the platform extensible over its lifetime. Developers can integrate custom sensors, payloads, or software modules as projects evolve.

Use Cases & Application Scenarios
Where this humanoid platform fits into research, education, and demonstration environments.
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-sensing Dex3-1 hand brings touch-aware 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 tactile Dex3-1 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 B (U4) Humanoid Robot

Model: G1-EDU-U4

Included Hand Type: Dex3-1 Three-Finger with Tactile Sensing
What It Is
Three-Finger Dexterous Hand
Unitree Dex3-1 hand with 7 degrees of freedom per hand for precise grasping and manipulation.
Integrated Tactile Sensing
A 9-sensor tactile array adds touch feedback for finer control over grip force and slip detection.
Tactile Sensing Range: 10g to 2500g
Fine enough to register a light touch and firm enough to confirm a secure grasp.
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.
Unitree G1 EDU Ultimate B (U4) Humanoid Robot

Model: G1-EDU-U4

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 B (U4) Humanoid Robot

Model: G1-EDU-U4

Total DOF
High-Power Computing
Developer Support
Hand Type

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