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Product description: Humanoid robot - Unitree G1 Edu U7
The Unitree G1 Edu U7 is a professional humanoid platform designed for research laboratories, technical universities, and teams developing modern artificial intelligence and humanoid robotics systems. The robot combines advanced mechanics, high computing power, and an extensive perception system enabling the implementation of complex movement and manipulation tasks. The Edu U7 model is based on the G1 Edu Advanced Edition platform and is equipped with two five-fingered Revo 2 Basic bionic hands . This design offers a total of 41 degrees of freedom , allowing it to replicate natural human movements and perform advanced manipulation operations requiring high dexterity and precision. 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, while 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 offering computing power of up to 100 TOPS.
Humanoid robot - Unitree G1 Edu U7.
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
- 41 degrees of freedom : advanced humanoid kinematics
- 2x five-fingered Revo 2 Basic hand : precise manipulation and natural grasping movements
- Advanced 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 environment
- Highly dynamic PMSM motors : fast response and smooth movement
- OTA support : remote updates of the robot's system and functions
Unitree G1 Edu U7 Humanoid Robot Mechanics
The Unitree G1 Edu U7 utilizes an advanced humanoid design offering 41 degrees of freedom , enabling natural full-body movements and highly complex manipulation . The robot can walk smoothly, maintain balance, rotate its torso, and perform dynamic limb movements. The design includes multi-axis arms and torso, and advanced five-fingered Revo 2 Basic hands that enable precise grasping and manipulation movements. Thanks to its high dexterity, the robot can operate tools, lift irregular objects, and perform tasks requiring high precision. Low-inertia PMSM motors and industrial cross-roller bearings with high durability and load capacity ensure dynamics and precision. The design has been optimized for research on autonomous manipulation and physical interaction with the environment.
The model has 41 degrees of freedom and is equipped with two hands with five fingers.
The robot's design is inspired by human anatomy, which translates into a natural way of moving and high stability.
Unitree G1 Edu 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 mapping, environmental analysis, and real-time obstacle detection . The platform can be used for research on autonomy, machine vision, and intelligent navigation. The audio system includes a four-microphone array and a 5W speaker, enabling voice communication and integration with AI systems using speech recognition and human-robot interaction. The Unitree Explore APP allows monitoring of the robot's operating parameters, IMU data, temperatures, and system alarms. The software also enables joint calibration and platform-wide diagnostics.
Movement dynamics and physical capabilities of Unitree G1 Edu U7
The Unitree G1 Edu U7 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 during advanced manipulation tasks. The robot can carry objects weighing up to approximately 3 kg per arm while maintaining high control precision. A 9000 mAh intelligent battery provides approximately 2 hours of operation , and a quick-change system helps reduce downtime during research and experimentation.
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.
Robot architecture, programming and communication
own AI systems, autonomy, and humanoid control. The robot uses an 8-core processor and the Nvidia Jetson Orin platform, providing computing power of up to 100 TOPS. 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, manipulation, and haptic interaction. WiFi 6 connectivity and Bluetooth 5.2 enables integration with computers, laboratory environments, and external control systems. Over-the-air (OTA) updates allow for convenient expansion of the robot's functionality and software updates.
| UnitreeG1 Edu U7 Technical Specifications | |
|---|---|
| Total degrees of freedom | 41 |
| 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 U7 | 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 | |
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