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Product description: Humanoid robot - Unitree G1 Edu U10
The Unitree G1 Edu U10 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 extensive perception system enabling complex movement and manipulation tasks. The Edu U10 is based on the G1 Edu Standard Edition platform and is equipped with two five-fingered Revo 2 Basic bionic hands . This design offers a total of 35 degrees of freedom , allowing for natural full-body movements and research on grasping, manipulation, and physical interaction with the environment. 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 offering computing power of up to 100 TOPS.
Humanoid robot - Unitree G1 Edu U10.
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
- 35 degrees of freedom : smooth and natural 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
Mechanics of the Unitree G1 Edu U10 humanoid robot
The Unitree G1 Edu U10 utilizes an advanced humanoid design offering up to 35 degrees of freedom , enabling natural full-body movements and complex manipulation . The robot can walk smoothly, maintain balance, rotate its torso, and perform dynamic limb movements. The design includes multi-axis arms, a stable locomotion system, and two five-fingered Revo 2 Basic hands . These allow the robot to grasp and move objects of various shapes. and perform tasks requiring precise hand movement control. Dynamics and precision are ensured by low-inertia PMSM motors and industrial cross-roller bearings with high durability and load capacity. The platform is designed for intensive research, control algorithm testing, and manipulation experiments.
The model has 35 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 a perception system, including a depth camera and a 3D LiDAR scanner , which enable spatial analysis, environment mapping, and real-time obstacle detection . The platform can be used for research on autonomy, machine vision, and motion planning. The audio system includes a four-microphone array and a 5W speaker , enabling voice communication and integration with AI systems using speech recognition. The robot also supports WiFi 6 and Bluetooth 5.2 , allowing it to interface with computers, applications, and external control systems. The Unitree Explore APP allows monitoring of robot parameters, IMU data, temperatures, and system alarms. The software also enables joint calibration, diagnostics, and fine-tuning of individual axes.
Movement dynamics and physical abilities of Unitree G1 Edu U10
The Unitree G1 Edu U10 has a compact design , measuring 1320 mm tall 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 precise control and platform stability. The Revo 2 Basic's five-fingered hands enable gripping tools, manipulating irregular objects, and conducting tests involving physical interaction with the environment. A 9000 mAh intelligent battery provides approximately 2 hours of operation , and a quick-change system helps reduce downtime during research, testing, and demonstrations.
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
The G1 Edu U10 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- and low-level applications. The platform supports research on control, perception, motion planning, and object manipulation. WiFi 6 and Bluetooth 5.2 connectivity enable integration with computers, laboratory environments, and external control systems. Over-the-air (OTA) updates allow for convenient feature development and robot software updates.
| UnitreeG1 Edu U10 Technical Specifications | |
|---|---|
| Total degrees of freedom | 35 |
| 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 U10 | 41 | 2 x RH56DFTP | yes - 17 sensors / hand | |
| G1 Edu U10 | 41 | 2 x Revo 2 Basic | NO | |
| G1 Edu U8 | 37 | 2 x Dex3-1 | NO | |
| G1 Edu U10 | 37 | 2 x Dex3-1 | yes - 33 sensors / hand | |
| G1 Edu U10 | 35 | 2 x Revo 2 Basic | NO | |
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