About
Autonomous Navigation Research Platform
Unitree As2 EDU Smart (EDU-U3)
Full 360° Perception for Autonomous Navigation Research
Power & Payload
Powerful Motors, Exceptional Payload
Maximum joint torque: Approx. 90 N·m, torque-to-weight ratio: Approx. 5 N·m/kg (self-weight: 18 kg).
All-Weather Deployment
All-Weather Adaptability, Reliable Operation
IP54 rainproof design, stable performance in complex weather and environments.
The Unitree As2 EDU Smart is purpose-built for teams working on autonomous navigation, SLAM, and outdoor path planning. It adds a Livox Mid-360 LiDAR to the Plus configuration's compute and depth camera stack — delivering a complete, out-of-the-box sensor suite for real-world autonomy research, without requiring external sensor sourcing or custom mounting solutions.
What's Upgraded Over Plus
Livox Mid-360 LiDAR included
Full 360° point cloud coverage; the industry-standard sensor for quadruped SLAM and autonomous navigation
Navigation Algorithm Technical Support included
Unitree provides dedicated support for teams integrating the Mid-360 into navigation pipelines
Retained from Plus
100 TOPS compute and 1 depth camera retained from Plus
Full Feature Set
90 N·m Maximum Joint Torque
12 DOF, dual encoders per joint
Dual LiDAR Stack
Industrial 64–128-Line LiDAR + Livox Mid-360 LiDAR — dual LiDAR stack for layered perception
1 Depth Camera
For close-range 3D sensing
IP54 Protection
For all-weather, all-terrain deployment
GPS + 4G
User-authorized
Extended Runtime
4+ Hours / ~20 km unloaded; 2.5 hours / ~13 km with 15 kg load
Battery & Charging
15,000 mAh battery + 51V 9A fast charging + charging pad
Isaac Sim supports
Full robot models and simulation interfaces
Custom development supported
Open platform for advanced research workflows
1-Year Warranty
Exceptional technical support and ecosystem documentation
Technical Configuration
Technical Specifications
Compute & Perception
Mobility & Load
Terrain & Protection
Battery & Runtime
Connectivity & Development
Autonomous Navigation Research Platform
Unitree As2 EDU Smart (EDU-U3)
Full 360° Perception for Autonomous Navigation Research
Power & Payload
Powerful Motors, Exceptional Payload
Maximum joint torque: Approx. 90 N·m, torque-to-weight ratio: Approx. 5 N·m/kg (self-weight: 18 kg).
All-Weather Deployment
All-Weather Adaptability, Reliable Operation
IP54 rainproof design, stable performance in complex weather and environments.
The Unitree As2 EDU Smart is purpose-built for teams working on autonomous navigation, SLAM, and outdoor path planning. It adds a Livox Mid-360 LiDAR to the Plus configuration's compute and depth camera stack — delivering a complete, out-of-the-box sensor suite for real-world autonomy research, without requiring external sensor sourcing or custom mounting solutions.
What's Upgraded Over Plus
Livox Mid-360 LiDAR included
Full 360° point cloud coverage; the industry-standard sensor for quadruped SLAM and autonomous navigation
Navigation Algorithm Technical Support included
Unitree provides dedicated support for teams integrating the Mid-360 into navigation pipelines
Retained from Plus
100 TOPS compute and 1 depth camera retained from Plus
Full Feature Set
90 N·m Maximum Joint Torque
12 DOF, dual encoders per joint
Dual LiDAR Stack
Industrial 64–128-Line LiDAR + Livox Mid-360 LiDAR — dual LiDAR stack for layered perception
1 Depth Camera
For close-range 3D sensing
IP54 Protection
For all-weather, all-terrain deployment
GPS + 4G
User-authorized
Extended Runtime
4+ Hours / ~20 km unloaded; 2.5 hours / ~13 km with 15 kg load
Battery & Charging
15,000 mAh battery + 51V 9A fast charging + charging pad
Isaac Sim supports
Full robot models and simulation interfaces
Custom development supported
Open platform for advanced research workflows
1-Year Warranty
Exceptional technical support and ecosystem documentation
Technical Configuration
Technical Specifications
Compute & Perception
Mobility & Load
Terrain & Protection
Battery & Runtime
Connectivity & Development
Unitree As2 EDU Smart Robot Dog
- Regular price
- $17,900.00
- Sale price
- $17,900.00
- Regular price
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