- Stock: In Stock
- Product code: 00-00014527
- Weight Brutto: 42.00kg
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Unitree G1 Edu Flagship F-U8 for Testing Artificial Intelligence Algorithms
Unitree G1 Edu Flagship F-U8 is an innovative humanoid robot that combines all the capabilities of the G1 Edu Advanced Edition version and unique five-fingered Revo 2 Touch Edition hands with full tactile perception. The robotic platform features 41 degrees of freedom, a powerful computational module NVIDIA Jetson Orin NX 16GB, and complete freedom for secondary development through ROS2 and SDK2 tools. A hybrid sensor system, consisting of an Intel RealSense D435i camera, long-range 3D LiDAR, and proprietary 4D LiDAR-L1, provides the humanoid with absolute autonomy in space, and each of its hands can confidently hold and carry loads weighing up to 3 kg.
Key Technological Advantages and Innovations of the Modification
- G1 Edu Advanced Edition Functionality. The robot has a full set of advanced capabilities of the Advanced series, including extended communication interface lines, powerful drives, and complete software freedom for AI research.
- Degrees of Freedom and Human-like Kinematics. The humanoid robot has 41 degrees of freedom. Large joint movement angles of the arms, legs, and body ensure the execution of complex manipulations, balancing, and smooth movement in challenging research projects.
- Revo 2 Touch Edition Sensor Hands with Intelligent Touch. The flagship F-U8 version is equipped with two durable five-fingered hands that have full tactile perception. The robot recognizes pressure force, friction, force application direction, and object proximity, allowing manipulation of objects at a human level.
- High Computational Power. The onboard NVIDIA Jetson Orin NX 16GB module, with over 100 TOPS, is optimized for computer vision processing, simulation learning, and reinforcement learning methods. It works with multimodal AI models UnifoLM.
- Comprehensive Spatial Perception. 360° circular view is provided by the proprietary Unitree 4D LiDAR-L1, Intel RealSense D435i depth camera, and additional 3D LiDAR for navigation and 3D SLAM. A 4-microphone array is responsible for command recognition.
- Flexible Programming. Full low- and high-level control over drives through unitree_sdk2 (C++/Python). The robot is fully compatible with ROS2 and has ready-made URDF digital models for simulation in Gazebo and Isaac Sim.
- Reliable Power Mechanics. Knee drives develop torque up to 120 Nm, and industrial roller bearings are designed for long-term use. A removable 9000 mAh battery provides up to 2 hours of autonomous operation.
- Official 18-month Warranty. The entire Flagship F-U8 robotic complex is covered by an official 18-month warranty, ensuring reliable service and full technical support during operation.
Construction and Hardware
The robotic platform has a stable architecture with a height of 1320 mm and a total weight of about 35 kg, designed for long-term experiments and intensive dynamic loads. The moving knee joints are equipped with high-efficiency PMSM permanent magnet motors with low inertia, generating torque up to 120 Nm for instant stabilization of body position, running, or overcoming obstacles.
Large deviation angles of the pelvic, knee, and waist joints allow for complex movement scenarios. All moving joints of the mechanism are equipped with industrial cross-roller bearings for high positioning accuracy. Cable wiring is laid hidden inside the hollow frame elements. An important engineering advantage is the presence of a built-in 5W speaker in the head, which, together with a microphone array, provides full two-way voice communication. For convenient transportation, the body folds into compact dimensions — 690×450×300 mm.
Revo 2 Basic Robotic Hands
The Unitree G1 Edu Flagship F-U8 is equipped with two durable Revo 2 Touch Edition robotic hands, whose design is as close as possible to the anatomy of the human hand. The main advantage of this version is the integration of extended tactile perception. The Revo 2 Touch sensor matrix senses:
- Pressure. precise determination of compression force for holding fragile objects.
- Friction: prevents objects with different surface textures from slipping.
- Direction: recognizes the vector of external force application or object displacement.
- Proximity perception: detects the distance to an object just before direct touch.
Thanks to the combination of tactile sensors and hybrid control of joint force and position, the robot can perform delicate laboratory manipulations, work with flexible, small, and slippery objects. Each hand has a lifting capacity of up to 3 kg, fully meeting the requirements of complex scientific, medical, and logistical scenarios.
Control Systems and Computing Resources
For engineers and developers, the Unitree G1 Edu offers full low-level and high-level control over drives and sensors through the open unitree_sdk2 interface in C++ and Python programming languages. Full integration with the ROS2 operating system simplifies the connection of third-party software modules and plugins. The availability of detailed URDF digital models allows for accurate simulation of the humanoid's physical behavior in virtual environments such as Gazebo and NVIDIA Isaac Sim.
Standardized holes are provided on the robot's back for secure attachment of additional equipment. For connecting third-party sensors and payloads, power lines of various voltages at 12V, 24V, and 58V are available, as well as high-speed engineering interfaces: Gigabit Ethernet RJ45 ports, USB-C, and industrial buses GPIO, I²C, and UART.
Integrated Navigation and Object Recognition System
Spatial orientation and map building in three-dimensional space are based on a comprehensive combination of modern machine vision sensors. The robot's head integrates the proprietary circular Unitree 4D LiDAR-L1, performing 21,600 laser scans per second, providing ultra-precise scanning of the surrounding environment without blind spots.
The perception system is complemented by an Intel RealSense D435i depth RGB-D camera and an additional long-range 3D LiDAR. This hybrid sensor array allows the robot to build 3D maps using SLAM technology without delays, recognize objects on the path, and dynamically avoid obstacles. A 4-microphone array is responsible for receiving and analyzing acoustic information, implementing algorithms for precise localization of sound sources in a room and recognizing user voice commands.
Local Neural Network Base and AI Tools
The main computational node of the Unitree G1 Edu is an onboard computer based on the NVIDIA Jetson Orin NX module with a capacity of 16 GB. With computational power exceeding 100 TOPS, the platform is ideally optimized for local processing of heavy neural networks and computer vision algorithms directly on the robot.
The model supports advanced machine learning methods, simulation learning based on human operator actions, and reinforcement training. Software capabilities and movement patterns are regularly updated via wireless OTA packages. The hardware is fully adapted for local work with large multimodal artificial intelligence models UnifoLM. This allows programming completely autonomous robot behavior, recognizing complex sequential engineering commands, and interacting with people without the need for constant connection to cloud servers.
Usage Directions
Unitree G1 Edu Flagship F-U8 is created for advanced scientific and educational projects. The presence of unique sensor hands significantly expands the platform's basic capabilities.
- Scientific Research and R&D: development of artificial intelligence algorithms, testing reinforcement learning methods, modeling human-machine interaction, and research in the field of artificial sensory touch.
- Tactile Manipulation and Delicate Handling: practicing the gripping of delicate objects (laboratory flasks, microchips, fruits), analyzing textures and friction forces of objects in real-time.
- Navigation and Spatial Perception: research on autonomous navigation, computer vision, building three-dimensional maps of premises, and SLAM algorithms.
- Education and Higher Education: teaching students and postgraduates robotics, sensorics, mechatronics, conducting world-class university laboratory research.
Compatibility with Development Platforms
Unitree G1 Edu Flagship F-U8 is adapted for use in universities, research laboratories, and educational centers. The humanoid robot supports working with:
- ROS 2;
- Python;
- C++;
- NVIDIA JetPack;
- external cameras;
- additional LiDAR sensors;
- laboratory data collection systems;
- research machine learning platforms;
- network Ethernet devices;
- GPIO modules and peripheral equipment.
Package Contents
The device is delivered assembled and ready for initial launch after unpacking.
- Unitree G1 Edu Flagship F-U8 humanoid robot.
- Quick-release lithium battery with a capacity of 9000 mAh.
- Network charger with parameters 54 V, 5 A.
- Wireless handheld control remote.
- User manual and technical passport.
Technical Specifications of Unitree G1 EDU Flagship F-U8
| Parameter | Value |
| Working position dimensions | 1320x450x200 mm |
| Folded position dimensions | 690x450x300 mm |
| Net weight with battery | About 35 kg |
| Number of degrees of freedom (DOF) | 41 DoF in the base version |
| Degrees of freedom of one leg/body | 6 / 1 |
| Degrees of freedom of one arm | 5 |
| Type of manipulator hands | Revo 2 Touch Edition (durable five-fingered with tactile perception) |
| Tactile capabilities of hands | Pressure, friction, direction, proximity perception |
| Maximum load on hand | Up to 3 kg |
| Maximum knee torque | 120 Nm |
| Joint bearings | Industrial cross-roller bearings |
| Type of drives | PMSM with internal rotor, low inertia, and high speed |
| Hollow internal wiring | Yes, through all joints |
| Joint encoders | Dual encoders |
| Battery capacity | 9000 mAh (Lithium 13S, hot-swap support) |
| Autonomous operation time / Charging | Up to 2 hours / 54 V, 5 A |
| High-performance computing module | NVIDIA Jetson Orin NX 16GB |
| Environmental perception sensors | Intel RealSense D435i depth camera, 3D LiDAR, Unitree 4D LiDAR-L1 |
| Sound system | 4-microphone array, built-in 5W speaker |
| Wireless interfaces | Wi-Fi 6, Bluetooth 5.2 |
| Access to hardware interfaces | Two Gigabit Ethernet ports (RJ45), 4 x USB-C, GPIO, I²C, UART buses |
| Power outputs for equipment | 12V, 24V, 58V |
| Software environments | ROS 2, Python, C++, unitree_sdk2, URDF models |
| Manufacturer's warranty | 18 months for the entire machine |
Operating Rules and Critical Limitations
To ensure stable operation of the Unitree G1 Edu Flagship F-U8 and prevent premature wear of its components, it is necessary to strictly adhere to established engineering protocols. Neglecting basic safety rules during programming or hardware setup can lead to critical damage to the humanoid's sensitive sensors and drives.
Mandatory Actions Before and During Operation.
- Power control. Always check the battery charge before starting to avoid sudden shutdown.
- Surface preparation. Launch the robot only on a flat, dry, and non-slippery surface.
- System update. Regularly update software and movement packages via the wireless OTA system.
- Development environment. Use official ROS2 and unitree_sdk2 tools for programming.
Strict Limitations and Prohibitions.
- Launch without support. It is forbidden to turn on the robot when it is lying or standing unstably. The first launch and calibration should be performed only on a suspended stand or special chair.
- Rough battery installation. Do not force the battery in. It should smoothly click into place, otherwise, the power connectors will be damaged.
- Programming without Debug mode. Before sending commands via SDK, be sure to switch the robot to development mode (L2 + R2) to avoid controller conflicts and drive damage.
- Overloading hands. Do not exceed the weight limit of 3 kg on Revo 2 Touch hands. Excessive pressure will break high-precision tactile sensors.
- Hot sensor connection. It is forbidden to connect or disconnect any sensors (to GPIO, I²C, UART) while the robot is on. The platform must be completely powered off.
Buy Unitree G1 Edu Flagship F-U8
Order the Unitree G1 Edu Flagship F-U8 for universities, research centers, innovative laboratories, and companies engaged in the integration of artificial intelligence and robotics systems. We provide full documentary support, professional technical consultation, and prompt delivery.
