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Humanoid robot - Unitree G1 Edu U4
The Unitree G1 Edu U4 is an advanced AI humanoid robot designed for research into manipulation, artificial intelligence, and human-robot interaction. Equipped with 43 degrees of freedom, two Dex3-1 tactile hands with tactile sensors, a depth camera, and a 3D LiDAR scanner, it enables precise grip force control and environmental perception. The platform offers high computing power, extensive programming capabilities, and support for advanced AI algorithms.
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Note! The hands, equipment components, and some of the robot's functions and capabilities shown in photos and videos may refer to optional equipment or other versions of the G1 model.
Product description: Humanoid robot - Unitree G1 Edu U4
The Unitree G1 Edu U4 is a professional humanoid platform designed for research laboratories, technical universities, and teams developing artificial intelligence and humanoid robotics systems. The robot combines advanced mechanics, high computing power, and an advanced perception system enabling complex manipulation tasks. Based on the G1 Edu Advanced Edition platform, the Edu U4 is equipped with two three-fingered Dex3-1 force-controlled hands with additional touch sensors . With a total of 43 degrees of freedom, the robot can perform natural full-body movements and perform precise operations requiring pressure and grip control. The robot utilizes a depth camera and a 3D LiDAR scanner for environmental perception, supports WiFi 6 and Bluetooth 5.2 , and a 9000 mAh intelligent battery provides approximately 2 hours of operation. The maximum knee joint torque is 120 Nm, and the arm can move objects weighing up to 3 kg . AI processing is handled by a powerful 8-core processor and the Nvidia Jetson Orin platform, which offers up to 100 TOPS of computing power. By integrating touch sensors, the U4 platform can be used to research intelligent manipulation, adaptive grip force control, and safe interaction with delicate objects.
Humanoid robot - Unitree G1 Edu U4.
The G1 Edu is equipped with a Livox MID-360 3D LiDAR system and an Intel RealSense depth camera.
Main features of the Unitree G1 Edu robot
- 43 degrees of freedom : natural and highly flexible humanoid kinematics
- 2 x Dex3-1 with touch sensors : advanced manipulation and grip force control
- Perception of the environment : depth camera and 3D LiDAR scanner
- AI computing power up to 100 TOPS : Nvidia Jetson Orin platform
- Wireless connectivity : WiFi 6 and Bluetooth 5.2
- Support for AI development : open architecture and development tools
- Highly dynamic PMSM motors : fast response and smooth movement
- OTA support : remote updates of the robot's system and functions
- Research and education platform : ideal for R&D projects and scientific experiments
Unitree G1 Edu U4 Humanoid Robot Mechanics
Unitree G1 Edu U4 uses an advanced humanoid design offering up to 43 degrees of freedom , which allows it to reproduce natural human movements and perform highly advanced manipulation operations. The robot can walk smoothly, maintain balance, rotate its torso, and perform dynamic full-body movements. Each leg has 6 degrees of freedom , while the extensive arm and body system enables a wide range of spatial movements. A key element of the platform are two Dex3-1 hands, each offering 7 degrees of freedom, and advanced force control supported by touch sensors . PMSM motors and high-capacity industrial bearings ensure dynamics and precision. The design enables complex manipulation movements while maintaining the robot's high stability.
The model has 43 degrees of freedom and is equipped with two three-fingered Dex3-1 hands (with touch sensors).
The robot's design is inspired by human anatomy, which translates into a natural way of moving and high stability.
Unitree G1 Edu U4 AI Robot Perception and Communication
The robot is equipped with an advanced perception system, including a depth camera and a 3D LiDAR scanner, enabling spatial analysis, environmental mapping, and real-time obstacle detection . The platform can be used for research on autonomy, machine vision, and intelligent navigation. Additional functionality is provided by the Dex3-1's tactile hands, equipped with pressure sensors that provide feedback on object contact . This allows for tasks requiring precise grip force control and safe manipulation of delicate objects. The audio system includes a four-microphone array and a 5W speaker , enabling voice communication and integration with AI systems based on speech recognition. The Unitree Explore APP allows for monitoring the robot's operating parameters, performing diagnostics, and calibrating joints.
Movement dynamics and physical capabilities of Unitree G1 Edu U4
The Unitree G1 Edu U4 has a compact design , measuring 1320 mm high and weighing approximately 35 kg . Efficient drives provide a maximum knee torque of 120 Nm , enabling dynamic and stable movement even during complex operations. The robot can carry objects weighing up to approximately 3 kg per arm while maintaining high control precision. Touch sensors allow the Dex3-1 hands to adjust their grip force to the type of object, increasing manipulation safety and enabling work with delicate components. A 9000 mAh intelligent battery provides approximately 2 hours of operation , and its quick-change system minimizes downtime during research and experiments.
The robot is powered by a battery that provides approximately 2 hours of operation.
Open architecture supports Secondary Development, allowing full control over the system.
Architecture, Unitree G1 Edu U4 robot programming and communication
The G1 Edu U4 platform was designed as an open research environment supporting the development of proprietary AI, autonomy, and humanoid control systems. The robot utilizes an 8-core processor and the Nvidia Jetson Orin platform, providing up to 100 TOPS of computing power. The manufacturer provides technical documentation, APIs, implementation examples, and development tools enabling the development of high-level and low-level applications. The platform supports research on control, perception, motion planning, and intelligent manipulation. WiFi 6 and Bluetooth 5.2 connectivity enable integration with computers, laboratory environments, and external control systems. Over-the-air (OTA) support allows for convenient updates of the robot's functions and software.
UnitreeG1 Edu U4 Technical Specifications
| Total degrees of freedom | 43 |
|---|---|
| Degrees of freedom of the leg | 6 |
| Degrees of freedom of the waist | 3 |
| Degrees of freedom of the arm | 5 |
| Degrees of freedom of the hand | 7 (optional force control for three-fingered hand + 2 additional degrees of freedom for the wrist) |
| Dex3-1 Hand Parameters | thumb: 3 active degrees of freedom, index finger: 2 active degrees of freedom, middle finger: 2 active degrees of freedom |
| Optional installation of touch sensors | yes (included) |
| Joint bearings | industrial cross roller bearings with high precision and high load capacity |
| Joint motors | PMSM permanent magnet synchronous motors with a low-inertia internal rotor |
| Maximum knee joint torque | 120 N*m |
| Maximum load on the arm | about 3 kg |
| Calf and thigh length | 0.6 m |
| Arm span | about 0.45 m |
| Waist range of motion | Z ±155°, X ±45°, Y ±30° |
| Knee range of motion | from 0° to 165° |
| Hip range of motion | P ±154°, R from -30 to 170°, Y ±158° |
| Wrist range of motion | P ±92.5°, Y ±92.5° |
| Full internal cable management | Yes |
| Joint encoder | double encoder |
| Cooling system | local air cooling |
| Battery type | 13-cell lithium-ion battery |
| Basic computing power | High-performance 8-core processor |
| Sensors and communications | depth camera + 3D LiDAR |
| 4-microphone array | Yes |
| Loudspeaker | 5 in |
| Wireless connectivity | WiFi 6, Bluetooth 5.2 |
| High-performance computing module | Nvidia Jetson Orin |
| Quick-connect battery | Yes |
| Battery capacity | 9000 mAh |
| Charger | 54V / 5A |
| Manual controller | Yes |
| Working time | about 2 hours |
| OTA updates | Yes |
| Possibility of further development | Yes |
| Dimensions in standing position | 1320 x 450 x 200 mm |
| Dimensions when folded | 690 x 450 x 300 mm |
| Weight with battery | over 35 kg |
G1 Edu Version Comparison
| Model | DOF | Hands | Touch sensors |
|---|---|---|---|
| G1 Edu U1 | 23 | lack | NO |
| G1 Edu U2 | 29 | lack | NO |
| G1 Edu U3 | 43 | 2 x Dex3-1 | NO |
| G1 Edu U4 | 43 | 2 x Dex3-1 | Yes |
| G1 Edu U5 | 41 | 2 x RH56DFQ | NO |
| G1 Edu U6 | 41 | 2 x RH56DFTP | yes - 17 sensors / hand |
| G1 Edu U7 | 41 | 2 x Revo 2 Basic | NO |
| G1 Edu U8 | 37 | 2 x Dex3-1 | NO |
| G1 Edu U9 | 37 | 2 x Dex3-1 | yes - 33 sensors / hand |
| G1 Edu U10 | 35 | 2 x Revo 2 Basic | NO |
Useful links
| Name | Value |
|---|---|
| Robot type | Walking |
| Robot power supply | Rechargeable battery |
| Control platform | Other |
| Robot form | Ready to use |
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