- Stock: In Stock
- Product code: 827588000002769237
- Weight Brutto: 25.00kg
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Unitree As2-W Edu Smart for Robotics Research and Development
Unitree As2-W Edu Smart is a wheeled robot dog designed for university laboratories, research teams, and developers of autonomous systems. The Edu Smart version includes an additional computing module and a depth camera, making it suitable for computer vision, SLAM, navigation, and artificial intelligence models. The robot also supports custom software development and scenario testing in NVIDIA Isaac Sim.
Advantages of Unitree As2-W Edu Smart
- High performance for artificial intelligence tasks. A 100 TOPS computing dock allows processing data from cameras and LiDAR, running AI models, computer vision systems, and autonomous navigation algorithms.
- More accurate object distance measurement. 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 verify programs and robotic scenarios before deploying them on real equipment.
- Precise orientation and mapping. An 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 feature allows the robot to move alongside a person and adjust its route while moving.
- High mobility on various 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, with a peak speed of about 6 m/s.
- Capability 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 computing modules.
- Long operation without frequent recharging. A Long-Endurance battery with a capacity of 15,000 mAh provides over 3 hours of autonomous operation and a range of approximately 30 km without a load.
- Convenient charging during daily use. The Edu Smart package includes a charging dock for restoring the robot's charge.
Sensors and Software Features
Unitree As2-W Edu Smart features an industrial 64–128-line LiDAR, an HD camera, and a depth camera. LiDAR provides spatial data for mapping and navigation, the HD camera provides video data, and the depth camera determines the distance to objects in front of the robot. The standard equipment also includes a microphone array, speaker, and front light. For software work, ISS 3.0 Intelligent Follow, UniStore, Smart OTA, robot models, and software interfaces are available.
Drives and Mobility
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. Dual encoders control the position of the drives, local air cooling dissipates heat, and cross-roller bearings are designed for significant mechanical loads.
The controlled joints help adapt the body position on slopes, stairs, and uneven areas, while the wheels accelerate movement on hard surfaces. Additional equipment can be installed on the robot for research and inspection tasks.
Power and Connectivity
Unitree As2-W Edu Smart is equipped with a high-capacity lithium battery, a fast charger, and a charging dock. For data transmission and connecting external equipment, Wi-Fi 6, Bluetooth 5.2, Gigabit Ethernet, SBUS, and BAT power output are available. GPS and 4G pertain to the version for mainland China and are disabled by default.
Tasks Suitable for Unitree As2-W Edu Smart
- Autonomous navigation. SLAM, mapping, route planning, and obstacle detection.
- Computer vision. Processing data from the HD camera and depth camera, object recognition.
- Artificial intelligence models. Local execution of computationally intensive programs.
- Research work. Testing control, navigation, and mobile robotics algorithms.
- Educational laboratories. Practical work with programming, LiDAR, SLAM, and machine vision.
- Simulation. Testing programs in NVIDIA Isaac Sim and compatible simulators.
- Inspection projects. Mounting additional cameras, sensors, and measuring instruments.
Unitree As2-W Edu Smart Package
The configuration includes the Unitree As2-W EDU robot, a 15,000 mAh battery, a fast charger 50.4 V / 7.4 A, a charging dock, a 100 TOPS computing dock, and one depth camera. Edu Smart also features Edu Standard functions, custom development support, ISS 3.0 Intelligent Follow, UniStore, Smart OTA, robot models, and software interfaces.
Note: The exact package contents may depend on the delivery region and selected configuration. Please confirm the package 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 |
| Wheels | Diameter 178 mm, width 50 mm |
| Degrees of freedom | 16 |
| Drives | High-speed PMSM, up to 95 N·m |
| Bearings and encoders | Cross-roller bearings, dual encoders |
| Cooling | Local air |
| Movement ranges | Body: −45°…+45°; thigh: −115°…+200°; shin: −159°…−47° |
| Speed | 0–3.7 m/s; peak — about 6 m/s |
| Passability | Slopes up to 45°, steps up to 30 cm, obstacles 0.4–0.8 m |
| Load | In motion: about 16 kg; in stationary position: about 150 kg |
| Dimensions | Standing: 721 × 493 × 521 mm; folded: 768 × 602 × 211 mm |
| Weight | About 25 kg with battery |
| Protection | IP54 |
| Operating temperature | From −20 °C to +55 °C |
Computing System and Sensors
| Parameter | Value |
| Processor | 8-core processor |
| Computing dock | 100 TOPS |
| Sensors | 64–128-line LiDAR, HD camera, depth camera ×1 |
| Audio and light | Microphone array, speaker, front light |
| Development | Custom software development, robot models, software interfaces |
| Simulation | NVIDIA Isaac Sim and compatible simulators |
| Functions | ISS 3.0 Intelligent Follow, UniStore, Smart OTA |
| Communication | Wi-Fi 6, Bluetooth 5.2 |
| Interfaces | Gigabit Ethernet ×1, SBUS ×1, BAT output |
Power
| Parameter | Value |
| Battery | Lithium, 15,000 mAh, 36–50.4 V |
| Without load | About 3 hours, approximately 30 km |
| With 16 kg load | Over 2 hours, about 25 km |
| Charger | 50.4 V / 7.4 A |
| Charging dock | Included in the Edu Smart configuration |
Practical Recommendations
- Monitor the weight of additional equipment. For prolonged movement, do not exceed a load of about 16 kg.
- Place modules without shifting the center of gravity. Cameras, sensors, and computing equipment should not interfere with joint operation.
- Clean LiDAR and cameras before starting. Dust and dirt on optics can degrade data quality.
- Test new programs in the simulator. NVIDIA Isaac Sim allows testing navigation and control before deploying on the robot.
- Consider the route and load. Slopes, steps, uneven areas, and additional equipment reduce the actual battery runtime.
Order Unitree As2-W Edu Smart
Unitree As2-W Edu Smart is suitable for university laboratories, research centers, development teams, and system integrators working with autonomous navigation, computer vision, SLAM, and robotics. Our specialists will help select the configuration, verify the compatibility of additional equipment, and place an order.
