- Stock: In Stock
- Product code: 827588000002769278
- Weight Brutto: 25.00kg
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Unitree As2-W Edu Plus for Autonomous Navigation and Development
Unitree As2-W Edu Plus is a wheeled robot dog designed for research projects, educational laboratories, autonomous navigation, and the development of robotic systems. This version includes a 100 TOPS computational docking station, a depth camera, and a Livox Mid-360 LiDAR with navigation algorithms. The robot supports custom software development, work with artificial intelligence algorithms, and testing in NVIDIA Isaac Sim.
Advantages of Unitree As2-W Edu Plus
- High performance for complex computational tasks. The 100 TOPS docking station provides additional resources for artificial intelligence algorithms, computer vision, sensor data processing, and autonomous navigation.
- Enhanced navigation and mapping capabilities. The Edu Plus package includes the Livox Mid-360 LiDAR, which is used for obtaining spatial data and operating navigation algorithms.
- More accurate distance measurement to objects. The depth camera transmits distance data and helps the system assess space and detect obstacles in front of the robot.
- Ability to create custom software solutions. The platform supports additional development of control, navigation, and data processing algorithms.
- Testing algorithms in a virtual environment. The robot models and simulation interfaces support NVIDIA Isaac Sim for scenario verification before launching on a real robot.
- Accurate perception of the surrounding space. The basic industrial 64–128-line LiDAR works together with other sensors to obtain spatial data.
- High mobility on uneven terrain. 16 degrees of freedom allow controlling the position of the body and limbs during movement and overcoming obstacles.
- Fast movement on open areas. The working speed is 0–3.7 m/s, and the peak can reach about 6 m/s.
- Possibility of installing additional equipment. The allowable load during movement is about 16 kg, allowing the installation of sensors, cameras, and measuring modules.
- Long autonomous operation. The Long-Endurance battery with a capacity of 15000 mAh provides over 3 hours of operation without load and a range of approximately 30 km.
Computational System and Sensors
Unitree As2-W Edu Plus features an 8-core processor and an additional 100 TOPS computational docking station for resource-intensive tasks. The module is designed for processing LiDAR and camera data, SLAM, object recognition, image analysis, and autonomous navigation. The sensor kit includes an industrial 64–128-line LiDAR, an HD camera, a depth camera, and Livox Mid-360. Sensors transmit data for map building, robot positioning, route planning, and obstacle detection.
Development and Simulation
Edu Plus supports the creation of custom software and control algorithms. Developers have access to documentation, robot models, simulation interfaces, and technical support for working with artificial intelligence algorithms. NVIDIA Isaac Sim and compatible simulators allow testing software scenarios before launching on a physical robot.
Drives and Movement
The robot has 16 joint and wheel drives. The drives are equipped with 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 dissipates heat, and cross-roller bearings are designed for significant mechanical loads.
The working speed is 0–3.7 m/s, and the peak is about 6 m/s. Unitree As2-W Edu Plus can handle slopes up to 45°, steps up to 30 cm, and obstacles approximately 0.4–0.8 m high. The allowable load in motion is about 16 kg, and in a stationary position, about 150 kg.
Power and Connectivity
The Long-Endurance battery has a capacity of 15000 mAh and a voltage of 36–50.4 V. Without load, the robot operates for about 3 hours and covers approximately 30 km. With a load of 16 kg, the operating time exceeds 2 hours, and the distance is about 25 km. For charging, a 50.4 V / 7.4 A device and a charging dock are provided. For data transmission and connecting external equipment, Wi-Fi 6, Bluetooth 5.2, Gigabit Ethernet, SBUS, and BAT power output are available.
Tasks Suitable for Unitree As2-W Edu Plus
- Autonomous navigation. SLAM, map building, route planning, and obstacle avoidance.
- Computer vision. Processing data from the HD camera and depth camera, object recognition.
- Working with LiDAR. Mapping and navigation using industrial LiDAR and Livox Mid-360 data.
- Robotics research. Testing control, movement, and autonomous operation algorithms.
- Educational laboratories. Practical work with programming, sensors, SLAM, and robotics.
- Simulation. Testing programs in NVIDIA Isaac Sim and compatible simulators.
- Inspection tasks. Mounting cameras, sensors, and measuring instruments within the allowable load.
Unitree As2-W Edu Plus Package
The Unitree As2-W Edu Plus configuration includes the Unitree As2-W EDU robot, battery, fast charger, charging dock, computational dock, depth camera, Livox Mid-360 LiDAR, remote control, cable kit, and user and developer documentation.
Note: The package contents may vary depending on the supply region and ordered configuration. Please check the package with the manager before purchasing.
Technical Specifications of Unitree As2-W Edu Plus
Movement Mechanics and Operational Capabilities
| Parameter | Value |
| Body materials | Aluminum alloy, high-strength engineering plastic |
| Degrees of freedom | 16 |
| Type of motors | Low-inertia high-speed PMSM with internal rotor |
| Bearings | Industrial cross-roller |
| Feedback | Dual encoders |
| Maximum torque | About 95 Nm |
| Motion angles | Body: −45°…+45°; thigh: −115°…+200°; shin: −159°…−47° |
| Working speed | 0–3.7 m/s |
| Peak speed | About 6 m/s |
| Maximum step height | Up to 30 cm |
| Obstacle height | About 0.4–0.8 m |
| Load | In motion: 16 kg; static: 150 kg |
| Wheels | Diameter 178 mm, width 50 mm |
| Operating temperature | From −20 °C to +50 °C |
| Dimensions standing | 721 × 493 × 521 mm |
| Dimensions folded | 768 × 602 × 211 mm |
| Weight with battery | About 25 kg |
Perception and Development Systems
| Parameter | Value |
| Computational system | 8-core CPU, 100 TOPS docking station |
| LiDAR | 64–128-line industrial LiDAR, Livox Mid-360 |
| Cameras | HD camera, depth camera ×1 |
| Audio and lighting | Microphone array, speaker, lighting |
| Navigation | Navigation algorithms, ISS 3.0 Intelligent Follow |
| Development | Support for custom development, robot models, simulation interfaces |
| Simulation | NVIDIA Isaac Sim and other compatible environments |
| Support | Technical support for artificial intelligence algorithms |
| Software features | UniStore, Smart OTA |
Power and Connectivity
| Parameter | Value |
| Battery | Lithium Long-Endurance |
| Capacity | 15000 mAh |
| Voltage | 36–50.4 V |
| Autonomy without load | Over 3 hours |
| Distance without load | About 30 km |
| Autonomy with 16 kg load | Over 2 hours |
| Distance with 16 kg load | About 25 km |
| Charger | 50.4 V / 7.4 A |
| Charging dock | Included in the package |
| Wireless communication | Wi-Fi 6, Bluetooth 5.2 |
| Interfaces | Gigabit Ethernet, SBUS |
Practical Recommendations
- Control the weight of the equipment. For extended movement, do not exceed a load of about 16 kg.
- Place modules without shifting the center of gravity. Cameras, LiDAR, and other devices should not interfere with joint movement.
- Clean optical sensors. Before starting, check the HD camera, depth camera, and both LiDARs for dust and contamination.
- Test new algorithms in the simulator. Before launching on the robot, verify navigation and control in NVIDIA Isaac Sim or a compatible simulator.
- Consider battery consumption. The 100 TOPS docking station, additional sensors, and a complex route may reduce the actual operating time from the battery.
Order Unitree As2-W Edu Plus
Unitree As2-W Edu Plus is suitable for university laboratories, research centers, development teams, and system integrators working with autonomous navigation, SLAM, computer vision, and robotics. Our specialists will help select the configuration, check the compatibility of additional equipment, and place an order.
