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Unitree As2-W Edu Ultimate Robotic Dog

Unitree As2-W Edu Ultimate Robotic Dog
Unitree As2-W Edu Ultimate Robotic Dog
Unitree As2-W Edu Ultimate Robotic Dog
Unitree As2-W Edu Ultimate Robotic Dog
Unitree As2-W Edu Ultimate Robotic Dog
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Unitree As2-W Edu Ultimate Robotic Dog
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  • Product code: 00-00015234
₴1 066 524.00
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Unitree As2-W Edu with AI Computer 100 TOPS

Unitree As2-W Edu Ultimate is an advanced configuration of the As2-W EDU platform, combining wheel-legged kinematics with 16 degrees of freedom and a separate computational module with a performance of 100 TOPS. The robot is designed for R&D laboratories, universities, and developers of autonomous systems and Embodied AI. The Ultimate package includes an extended sensor stack with three depth cameras and an additional LiDAR Livox Mid-360 for building 3D navigation algorithms.

Wheel-legged robot Unitree As2-W Edu Ultimate on difficult terrain
Unitree As2-W Edu Ultimate: wheel-legged robotic platform for traversing difficult terrain.

Advantages of Unitree As2-W Edu Ultimate

  • Wheel kinematics. The robot combines the speed of wheeled movement and the high passability of a quadruped system. The device reaches a working speed of up to 3.7 m/s and overcomes difficult terrain with stairs.
  • Joint drives 95 Nm. Low-inertia electric motors provide precise and smooth control of limb movements. The drives are equipped with industrial cross-roller bearings, dual position sensors, and a local air cooling system.
  • 16 degrees of freedom DoF. The 16-degree design allows dynamic clearance changes, body position adaptation, and inclined movement.
  • Computational module 100 TOPS. The additional module provides fast data processing from sensors, AI algorithms, and computer vision directly on the robot, without connecting to an external computer.
  • Ultimate sensor complex. The system is equipped with an industrial LiDAR, HD camera, additional LiDAR Livox Mid-360, and three depth cameras to help the robot accurately determine the shape, distance, and location of surrounding objects.
  • High autonomy. The 15000 mAh lithium battery provides over 3 hours of operation or movement up to 30 km without additional load.
  • High static strength. The mechanical platform withstands a static load of up to 150 kg and can carry up to 16 kg of cargo in motion.
  • Support for Isaac Sim and SDK. Developers gain access to robot models, simulation interfaces, and secondary development tools for algorithm testing in a virtual environment.
  • IP54 protection. The protected body made of aluminum alloy and high-strength engineering plastic is designed for operation in a temperature range from -20 °C to +50 °C.
Main components and sensor system of Unitree As2-W Edu Ultimate
Components of Unitree As2-W Edu Ultimate: LiDAR, camera, computational system, battery, drives, and external interfaces.

Wheel Platform and 16 Degrees of Freedom

The As2-W robot dog is built on a wheel-legged scheme. Its four limbs are equipped with 7-inch wheels with a diameter of 178 mm, allowing fast and energy-efficient movement on flat surfaces. The design has 16 degrees of freedom and 16 drive electric motors in the joints. Each joint is driven by a high-speed synchronous electric motor with permanent magnets and a low-inertia internal rotor. The moving nodes use industrial cross-roller bearings designed for significant radial and axial loads. Dual position sensors ensure movement accuracy, and a local air cooling system maintains stable operating temperatures for the drives.

Speed and Passability of Unitree As2-W Edu Ultimate

The robotic platform is designed to operate in challenging environments:

  • Working speed: from 0 to 3.7 m/s.
  • Peak speed: about 6 m/s.
  • Slope angle: the robot climbs inclined surfaces with an angle of up to 45°.
  • Steps: the height of overcoming a single step is up to 30 cm.
  • Maximum obstacle height (Max Climb Height): from 0.4 to 0.8 m depending on the nature of the barrier and trajectory.

By combining wheels and joints, the robot can transition from fast rolling to walking, adapting the body height to overcome thresholds, inclines, or unstable ground.

Load Capacity

When assessing the load on the platform, two mode parameters should be distinguished:

  • Static load: in a standing position, the mechanics hold a mass of about 150 kg.
  • Working load: the maximum mass of useful equipment during continuous walking or rolling is about 16 kg.

Adhering to the working load limit of 16 kg ensures the preservation of movement dynamics, controllability, and the calculated service life of the drives.

Autonomy and Battery

The robot dog is equipped with a removable high-capacity lithium battery of 15000 mAh with a working voltage of 36–50.4 V. Without additional load, it can move continuously for over 3 hours or cover about 30 km. With a useful load of 16 kg, the continuous operation time is over 2 hours, and the range is about 25 km. A complete fast charger 50.4 V / 7.4 A is used for charging. The charging station is not included in the basic Edu Ultimate package and is available separately as additional equipment.

Unitree As2-W Edu Ultimate working in open terrain
Unitree As2-W Edu Ultimate: application of the wheel-legged platform in open terrain.

Edu Ultimate Perception System

The Ultimate configuration combines the basic sensors of the As2-W EDU platform and an extended navigation complex. The core of the robot dog's sensor system consists of a high-resolution camera for visual control and an industrial multi-beam LiDAR with 64–128 lines. The body also includes a microphone array and front lighting for low-light operation. The Edu Ultimate package includes three depth cameras. They determine the distance to nearby objects, help detect obstacles, and more accurately assess the shape and irregularities of the surface directly in front of the robot's wheels. The robot dog is additionally equipped with a Livox Mid-360 laser sensor. With a wide field of view, it recognizes objects around the robot and helps create a three-dimensional map of the environment, determine the device's position in space, and ensure autonomous movement through complex terrain.

100 TOPS for AI and Autonomous Navigation

The main functions of the robot dog are controlled by a high-performance 8-core central processor. In the Edu Ultimate configuration, the system is additionally equipped with a separate computational module with a performance of 100 TOPS. It processes data from three depth cameras, the Livox Mid-360 sensor, and the standard LiDAR, supports the operation of computer vision systems, analyzes sensor information in real-time, and allows AI models to run directly on the robot.

Tasks Suitable for Unitree As2-W Edu Ultimate

  • R&D in mobile robotics. Research on kinematics and dynamics of wheel-legged systems.
  • Development of Embodied AI algorithms. Training and testing AI models with physical embodiment.
  • Autonomous navigation and SLAM. Building three-dimensional maps of premises and open terrain using a combination of LiDAR and depth cameras.
  • Computer vision. Processing video streams and depth data on the onboard 100 TOPS computer.
  • Educational and university laboratories. Training specialists in autonomous robotics and mechatronics.
  • Simulation and code portability. Scenario testing in Isaac Sim with subsequent translation to the physical platform.
  • Monitoring and inspection. Testing prototypes for infrastructure inspection, warehouse premises, and relief sites.
Unitree As2-W Edu Ultimate: demonstration of the capabilities of the wheel-legged robotic platform.

What's Included in the Unitree As2-W Edu Ultimate Package

  1. Unitree As2-W EDU wheel-legged robot. Main mechanical platform with 16 joint drives and built-in sensors.
  2. Long-Endurance battery. 15000 mAh lithium battery for autonomous robot operation.
  3. Fast charger. Designed for battery charging, output parameters — 50.4 V / 7.4 A.
  4. Remote control. Used for manual robot control by the operator.
  5. Computational module 100 TOPS. Designed for data processing, AI algorithms, and computer vision.
  6. Depth cameras — 3 pcs. Used for determining the distance to objects, detecting obstacles, and perceiving the surrounding space.
  7. LiDAR Livox Mid-360 — 1 pc. Laser sensor for three-dimensional mapping, determining the robot's position, and autonomous navigation.
  8. Developer package and documentation. Contains digital robot models, simulation tools, software, and educational-technical materials.

Note: The actual configuration of Unitree As2-W Edu Ultimate may vary depending on the configuration and selected additional options. Before ordering, check the exact package contents with the manager.

Technical Specifications of Unitree As2-W Edu Ultimate

Physical Platform and Mobility

Characteristic Value
Platform type Wheel-legged quadruped
Wheels 7 inches
Body materials Aluminum alloy + high-strength engineering plastic
Degrees of freedom (DoF) 16 joint drives
Motor type Low-inertia high-speed PMSM with internal rotor
Bearings Industrial cross-roller
Feedback sensors Dual encoders
Drive cooling Local air cooling system
Maximum torque About 95 Nm
Movement angles Body: −45°…+45°; Thigh: −115°…+200°; Shin: −159°…−47°
Working speed 0–3.7 m/s
Maximum slope angle About 45°
Step height Up to 30 cm
Maximum obstacle height About 0.4–0.8 m
Maximum static load About 150 kg
Working load in motion About 16 kg
Standing dimensions 721 × 493 × 521 mm
Folded dimensions 768 × 602 × 211 mm
Net weight 25 kg

Computational System and Navigation

Characteristic Value
Battery Lithium, Long-Endurance, 15000 mAh
Range without load Over 3 hours
Range with load Over 2 hours
Charger 50.4 V / 7.4 A
Standard perception sensors HD camera, industrial LiDAR (64–128 lines), microphone array, front light
Additional Ultimate sensors Depth Camera ×3, Livox Mid-360 LiDAR ×1
System CPU 8-core high-performance CPU
AI computer Ultimate Expansion dock 100 TOPS
Wireless communication Wi-Fi 6, Bluetooth 5.2
Physical interfaces Gigabit Ethernet ×1, SBUS ×1, power output BAT
Protection class IP54
Operating temperature From -20 °C to +50 °C
Secondary development SDK, support for secondary development, AI algorithm technical support
Simulation environments Robot models, simulation interfaces, Isaac Sim support

Practical Recommendations

  • Testing in a virtual environment. Before running commands on the robot, check control and navigation algorithms in Isaac Sim.
  • Load control. When installing additional equipment, ensure its total mass does not exceed 16 kg, otherwise, the robot's speed and maneuverability may deteriorate.
  • Considering autonomy time. Over 3 hours of operation is achieved when moving without additional load on a flat surface.
  • Protection from dust and moisture. The body has an IP54 protection rating, so the robot can operate in the presence of dust and water splashes but is not designed for immersion in water.
  • Using GPS and 4G. For the Mainland China version, these functions may require additional user authorization.
  • Distribution of computational tasks. Use the built-in 8-core processor for basic movement control functions, and the 100 TOPS module for processing three-dimensional data, computer vision systems, and AI models.

Order Unitree As2-W Edu Ultimate

The Unitree As2-W Edu Ultimate package is aimed at research institutes, university laboratories, R&D centers, and system integrators creating autonomous solutions based on Embodied AI. Our specialists will assist with order processing and provide detailed technical consultation on the exact configuration and extended platform capabilities.

Key Parameters
Warranty Period (months) 12
Country of Origin China
Details
Battery Capacity (mAh) 15000
Weight and Dimensions
Dimensions Netto (mm) 768 × 602 × 211
Weight Netto (kg) 25

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