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- Product code: 00-00015230
Unitree As2-W Edu Smart for R&D and Development of Robotic Systems
Unitree As2-W Edu Smart is a robotic dog for research, education, and the development of autonomous solutions in the field of robotics. The Edu Smart version features a computational docking station with a performance of 100 TOPS and a standard depth camera, expanding capabilities for computer vision, navigation, SLAM, and artificial intelligence algorithms. The platform also supports simulation and the development of complex autonomous scenarios.
Advantages of Unitree As2-W Edu Smart
- High performance for working with artificial intelligence. The 100 TOPS computational docking station allows processing data from cameras and LiDAR, running artificial intelligence models, computer vision systems, and autonomous navigation algorithms.
- More accurate distance measurement to objects. The depth camera provides additional spatial data that can be used for navigation, obstacle detection, and environmental analysis.
- Ability to create custom software solutions. The platform supports additional development and provides tools for creating custom software and robot control algorithms.
- Safe testing of algorithms in a virtual environment. Robot models and simulation interfaces support working with NVIDIA Isaac Sim to test programs and robotic scenarios before deploying them on real equipment.
- Accurate orientation and mapping. The industrial 64–128-line LiDAR is used for mapping, SLAM, and determining the robot's position in space.
- Automatic operator following. The ISS 3.0 Intelligent Follow function allows the robot to move alongside a person and adjust its route during movement.
- High mobility on different types of surfaces. 16 degrees of freedom combined with joint drives and wheels allow movement on flat surfaces, slopes, stairs, and uneven areas.
- Fast movement in open areas. The working speed is 0–3.7 m/s, and the peak speed can reach about 6 m/s.
- Ability to install additional equipment. While moving, the robot can carry a load of up to 16 kg, allowing the installation of additional sensors, cameras, and computational modules.
- Long operation without frequent recharging. The Long-Endurance battery with a capacity of 15000 mAh provides over 3 hours of autonomous operation and a range without load of approximately up to 30 km.
- Convenient charging during daily operation. The Edu Smart package includes a charging dock station for recharging the robot.
Unitree As2-W Edu Smart Extended Version for Development and Research
The computational docking station is used for local data processing from cameras and LiDAR, object recognition, image analysis, map building, and running artificial intelligence models without the need to transfer all data to an external computer. The robot's 8-core processor handles the main system processes, while the additional module takes on resource-intensive computations necessary for more complex autonomous scenarios.
Developers have access to technical documentation, robot models, and simulation interfaces. The platform supports working with NVIDIA Isaac Sim and other robotic modeling environments, allowing testing of algorithms and scenarios before deploying them on a real robot.
Sensors and Intelligent Functions
Unitree As2-W Edu Smart is equipped with a 64–128-line LiDAR, an HD camera, and a depth camera for navigation, mapping, computer vision, and obstacle detection. A microphone array, speaker, and front lighting complement the sensor suite.
The platform supports the development of custom software, simulation in NVIDIA Isaac Sim, working with applications through UniStore, and Smart OTA updates. The ISS 3.0 Intelligent Follow function provides automatic operator following and route adjustment during movement.
Wheeled Design and 16 Degrees of Freedom
Unitree As2-W Edu Smart has 16 joint drives and wheels. The drives feature low-inertia high-speed synchronous motors with permanent magnets and an internal rotor. The maximum torque is about 95 Nm. Dual encoders control the position of the drives. Local air cooling is provided for heat dissipation. Industrial cross-roller bearings are installed in the joint nodes.
Mobility and Load Capacity
Unitree As2-W Edu Smart reaches a working speed of up to 3.7 m/s, with a peak speed of about 6 m/s. The robot can overcome slopes up to 45°, steps up to 30 cm high, and obstacles approximately 0.4–0.8 m. The combination of wheels and jointed limbs ensures fast movement on flat surfaces and adaptation to complex terrain. The allowable load during prolonged movement is about 16 kg, allowing the installation of additional sensors, cameras, and computational modules. In a stationary position, the robot can withstand a load of about 150 kg.
Power and Connectivity
Unitree As2-W Edu Smart is equipped with a Long-Endurance battery with a capacity of 15,000 mAh. Without additional load, the robot operates for about 3 hours and covers up to 30 km, while with a load of 16 kg, it operates for over 2 hours and about 25 km. For charging, a fast charger 50.4 V / 7.4 A and a docking station are included in the Edu Smart package. For connecting external equipment, Wi-Fi 6, Bluetooth 5.2, Gigabit Ethernet, SBUS, and BAT power output are supported. GPS and 4G are available only in the mainland China version and are disabled by default.
Design and Operating Conditions
The body is made of aluminum alloy and high-strength engineering plastic. The weight of Unitree As2-W Edu Smart with the battery is about 25 kg. The robot's dimensions when standing are 721 × 493 × 521 mm, and in the folded position, 768 × 602 × 211 mm. The wheels have a diameter of 178 mm and a width of 50 mm. Protection class is IP54. The current Unitree table for As2-W EDU indicates an operating temperature from −20 °C to +55 °C.
Tasks Suitable for Unitree As2-W Edu Smart
- Development of autonomous navigation. SLAM, map building, route planning, and obstacle detection.
- Computer vision. Working with an HD camera, depth camera, and recognition algorithms.
- AI projects. Running models on a 100 TOPS computational docking station.
- R&D. Researching control algorithms, mobile robotics, and autonomous movement.
- Educational laboratories. Practical work in robotics, programming, LiDAR, and machine vision.
- Robotic simulation. Testing algorithms through Isaac Sim and compatible simulators.
- Inspection tasks. Installing additional cameras, sensors, or measuring equipment.
What's Included in Unitree As2-W Edu Smart
The Edu Smart package includes the Unitree As2-W EDU wheeled robot, a Long-Endurance battery with a capacity of 15000 mAh, a 50.4 V / 7.4 A charger, a charging dock station, a 100 TOPS computational dock station, and a depth camera. The package also includes the features and capabilities of Edu Standard, Secondary Development, ISS 3.0 Intelligent Follow, UniStore, Smart OTA, robot models, and simulation interfaces.
Note: The exact contents of the package may depend on the delivery region and configuration. Please verify the package contents with the manager before ordering.
Technical Specifications of Unitree As2-W Edu Smart
Mechanics and Movement
| Parameter | Value |
| Body Materials | Aluminum alloy, high-strength engineering plastic |
| Degrees of Freedom | 16 |
| Drives | PMSM with internal rotor, torque up to 95 Nm |
| Joint Movement Ranges | Body: −45°…+45°; thigh: −115°…+200°; shin: −159°…−47° |
| Bearings and Encoders | Cross-roller bearings, dual encoders |
| Cooling | Local air |
| Speed | 0–6 m/s |
| Passability | Slopes up to 45°, steps up to 30 cm, obstacles around 0.4–0.8 m |
| Protection | IP54 |
| Temperature | from −20 °C to +55 °C |
| Load | During movement: 16 kg; static: 150 kg |
| Net Dimensions | Standing: 721 × 493 × 521 mm; folded: 768 × 602 × 211 mm |
| Net Weight | 25 kg with battery |
Computational System and Sensors
| Parameter | Value |
| Processor | 8-core CPU |
| Computational Power | 100 TOPS |
| Development and Simulation | Support for additional development, robot models, modeling tools, Isaac Sim |
| Sensors | 64–128-line LiDAR, HD camera, depth camera |
| Audio | Microphone array, speaker |
| Lighting | Front |
| Intelligent Functions | ISS 3.0 Intelligent Follow, UniStore, Smart OTA |
| Wireless Communication | Wi-Fi 6, Bluetooth 5.2 |
| Interfaces | Gigabit Ethernet ×1, SBUS |
Power Supply
| Parameter | Value |
| Battery Type | Lithium Long-Endurance |
| Capacity | 15000 mAh |
| Voltage | 36–50.4 V |
| Operating Time Without Load | About 3 hours |
| Distance Without Load | About 30 km |
| Charger | 50.4 V / 7.4 A |
| Charging Dock Station | Included in the configuration |
Practical Recommendations
- Control the weight of the equipment. For prolonged movement, the total weight of installed modules should not exceed about 16 kg.
- Consider the power consumption of the computational module. Running AI models and active sensor operation can affect the actual battery runtime.
- Check the LiDAR and cameras. Clean optical surfaces from dust and dirt before starting.
- Test new algorithms in the simulator first. Use Isaac Sim and provided robot models to verify control and navigation.
- Check the placement of the load. Additional equipment should be installed so as not to disturb the platform's balance.
Order Unitree As2-W Edu Smart
Unitree As2-W Edu Smart is aimed at university laboratories, research centers, R&D teams, and system integrators working with robotics, autonomous navigation, computer vision, and artificial intelligence algorithms. Our specialists will help select the appropriate configuration, place an order, and provide technical consultation on the robot's capabilities, additional equipment, and integration options.
