- Stock: In Stock
- Product code: 00-00013723
- Weight Brutto: 35.00kg
The Unitree G1 Edu Flagship A-U3 is a research humanoid robot designed for advanced robotics laboratories and embodied AI development, featuring 43 degrees of freedom, an 8-core CPU, and the NVIDIA Jetson Orin module at 100 Tops. With a 9000 mAh quick-release smart battery, force-controlled Dex3-1 hands, and a folding mechanism that reduces height to 690 mm, it delivers a complete physical platform for researching locomotion, manipulation, and reinforcement learning in real-world conditions.
| Total degrees of freedom | 43 |
|---|---|
| AI computing module | NVIDIA Jetson Orin 100 Tops |
| Smart battery | 9000 mAh (quick release) |
| Weight (with battery) | ~35 kg |
43 Degrees of Freedom: Industrial-Grade Biomechanics
The G1 Edu's kinetic architecture goes well beyond standard bipedal research platforms. With 6 DOF per leg and 3 waist DOF (Z±155°, X±45°, Y±30°), the robot executes gait patterns on uneven terrain, dynamic backward flips, and autonomous fall recovery — all without hardware modifications.
Low-inertia internal-rotor PMSM motors deliver fast torque response and efficient heat dissipation, while industrial-grade cross-roller bearings sustain high loads through thousands of locomotion test cycles without losing precision. The 7 DOF per arm and a maximum knee torque of 120 N·m faithfully replicate the kinematic workspace of an adult human operator.
- 6 DOF per leg for omnidirectional navigation and uneven terrain
- 3 waist DOF with Z±155° rotation for wide-body pivoting
- 7 DOF per arm for full three-dimensional workspace coverage
- Maximum knee torque: 120 N·m for stair climbing and fall recovery
- Hollow electric routing in all joints to protect cabling under repeated stress
Dual-Compute Brain: 8-Core CPU + NVIDIA Jetson Orin 100 Tops
Effective humanoid robotics requires simultaneous processing of sensorimotor data and neural inference. The G1 Edu addresses this with a two-tier compute architecture: an 8-core high-performance CPU handles low-latency motion control, while the NVIDIA Jetson Orin module at 100 Tops runs neural network inference for perception and decision-making.
This setup powers UnifoLM (Unitree Robot Unified Large Model), which applies reinforcement learning and imitation learning directly on physical hardware. The robot perceives its environment through a depth camera and 3D LiDAR, reacts in real time, and refines its behaviour through physical interaction — reducing the need for external simulators during each tuning cycle.
Dex3-1 Hands: Hybrid Force-Position Control for Delicate Tasks
Service robotics research demands manipulators that adapt grip force to the object at hand. The G1 Edu's Dex3-1 hands implement hybrid force-position control, distinguishing between fragile items — such as electronic components — and tools requiring firm grip.
Each hand provides 3 fingers and 2 independent DOF per unit (A-U3 configuration, no integrated tactile sensors). Maximum payload per arm is ~3 kg with an arm span of ~0.45 m — equivalent to the workspace of a similarly sized adult human. This dexterity opens research paths in assembly, fine manipulation, and human-robot collaboration.
Portable Lab Platform: Folds to 690 mm, Quick-Release Battery
Despite its full-body capability, the G1 Edu is engineered for practical lab use and transport. The folding mechanism reduces standing height from 1320 mm to 690 mm, making it compatible with standard vehicle transport and compact lab storage.
The 9000 mAh smart battery supports approximately 2 hours of continuous operation and swaps in seconds via quick-release. The included charger operates at 54 V 5 A. Enhanced wireless OTA firmware updates avoid interruptions to development cycles, and full secondary development support facilitates integration with ROS environments or custom AI frameworks.
Technical Tip: To extend PMSM motor lifespan during aggressive locomotion tests, switch to torque-control mode instead of position-control mode when validating fall-recovery algorithms. This reduces peak current draw at the knee actuators by up to 30% and significantly extends the service life of the cross-roller bearings.
Technical Specifications of the Unitree G1 Edu Flagship A-U3
Dimensions and Weight
| Height × Width × Depth (standing) | 1320 × 450 × 200 mm |
|---|---|
| Height × Width × Depth (folded) | 690 × 450 × 300 mm |
| Weight (with battery) | ~35 kg |
Degrees of Freedom
| Total DOF | 43 |
|---|---|
| DOF per leg | 6 |
| Waist DOF | 3 (Z±155°, X±45°, Y±30°) |
| DOF per arm | 7 |
| DOF per hand | 2 × Dex3-1 3-finger hands, force-controlled (no tactile) |
Mechanics and Drivetrain
| Joint output bearing | Industrial-grade cross-roller bearings (high precision, high load capacity) |
|---|---|
| Joint motor | Low-inertia high-speed internal-rotor PMSM (better response speed and heat dissipation) |
| Max knee joint torque | 120 N·m |
| Max arm payload | ~3 kg |
| Calf + thigh length | 0.6 m |
| Arm span | ~0.45 m |
Joint Range of Motion
| Knee joint | 0~165° |
|---|---|
| Hip joint | P±154°, R-30~+170°, Y±158° |
| Wrist joint | P±92.5°, Y±92.5° |
Electronics and Wiring
| Hollow electric routing in all joints | Yes |
|---|---|
| Joint encoder | Dual encoder |
| Cooling system | Local air cooling |
Computing and Sensors
| Basic computing power | 8-core high-performance CPU |
|---|---|
| High-performance computing module | NVIDIA Jetson Orin 100 Tops |
| Detection sensor | Depth camera + 3D LiDAR |
| Audio | 4-microphone array, 5 W speaker |
| Connectivity | WiFi 6, Bluetooth 5.2 |
Power and Battery
| Power source | 13-cell lithium battery |
|---|---|
| Smart battery | 9000 mAh (quick release) |
| Charger | 54 V 5 A |
| Battery life | ~2 h |
Features and Service
| Manual remote control | Yes |
|---|---|
| Enhanced smart OTA | Yes |
| Secondary development | Yes |
| Protective support | Yes |
| Warranty | 12 months |
| Technical support | Yes (full developer manuals and ecosystem support included) |
Why choose EXPERT3D?
At EXPERT3D, specialists in 3D technology and advanced robotics since 2012, we provide personalised technical guidance to help you configure the platform that best fits your research objectives. Our team supports every stage of your project — before, during, and after purchase — to ensure your development goals are met. Buy now ➔ €