- Stock: In Stock
- Product code: 00-00013716
- Shipping Weight: 18.00kg
Robotic Platform Unitree Go2 Edu
Unitree Go2 Edu is an open engineering platform designed for deep research, tactical reconnaissance, and autonomous navigation in challenging conditions. When technologies go beyond simulations and laboratory tests, a tool is born that can change the rules of the game in the real world. This is exactly the kind of tool that Unitree's development, embodied in a robot dog, represents.
Features of the Unitree Robot Dog
- 8-core high-performance processor
- Movement speed on flat terrain 1.7 m/s
- Maximum battery life up to 2 hours
- Payload 8-10 kg
- Operating mode designed for high performance
- Standard ultra-wide-angle 4D lidar
- Mobility controlled by artificial intelligence
- Maximum torque in the joint 45 N·m
Technological Advantages of the U2 Robot
The key difference of the Edu version is the transition from simple obstacle avoidance to full situational analysis.
4D-Lidar with Ultra-Wide Coverage
Unlike standard systems, the Go2 Edu lidar provides a 360 by 90-degree view with virtually no blind spots. The robot detects not only physical objects but also complex surfaces — glass partitions, mesh fences, and small terrain irregularities.
NVIDIA Computing Power
Onboard are Jetson Orin modules (or analogs depending on configuration), allowing the deployment of neural networks and SLAM algorithms directly in the field, without delays in data transmission to the cloud.
Dynamics and Bionics
Thanks to upgraded servos with a torque of up to 45 newton-meters, the robot demonstrates exceptional stability on stairs, slippery surfaces, and when overcoming thresholds.
Technical Specifications and Configuration of Go2 Edu Intelligent U2
| Main Processor | 8-core high-performance processor |
| High Computing Power Module | Not supported |
| Secondary Development Support | Not supported |
| Dimensions (standing) | 70 × 31 × 40 cm |
| Dimensions (sitting) | 76 × 31 × 20 cm |
| Weight (with battery) | 15 kg |
| Materials | Aluminum alloy + high-strength engineering plastic |
| Self-regulating Belt | Included |
| Front Light | Included |
| 7-inch Pneumatic Wheels | Not supported |
| Voltage Range | 28 V – 33.6 V |
| Maximum Operating Power | 3000 W |
| Battery Type | Standard smart battery (quick-release) |
| Battery Capacity | 8000 mAh |
| Battery Life | 1–2 hours |
| Charger Specifications | 33.6 V, 3.5 A |
| Protection | Overheat, overcharge, and short circuit protection |
| Wireless Charging | Not supported |
| Payload | 8 kg (maximum 10 kg) |
| Maximum Speed | 1.7 m/s |
| Maximum Step Height | 16 cm |
| Maximum Incline | 40° |
| Maximum Joint Torque | 45 N·m |
| Knee Joint Motors | 12 aluminum motors |
| Cooling System | Heat pipe cooler |
| Wiring | Intra-joint circuit |
| Body Rotation | ±48° |
| Thigh Rotation | from –200° to +90° |
| Shin Rotation | from –156° to –48° |
| 3D Lidar | Ultra-wide-angle L1 (360°×90°) |
| Front Camera Resolution | 1280×720 (HD) |
| Front Camera Lens | 120° ultra-wide-angle |
| Positioning Module | Included |
| Foot Force Sensor | Not included |
| Wi-Fi | Wi-Fi 6 (dual-band) |
| Bluetooth | 5.2 / 4.2 / 2.1 |
| 4G Module | Included |
| Remote Control | Optional |
| Microphone | Included |
| Built-in Speaker | 3 W |
| Voice Function | Supported |
| Basic Actions | Supported |
| Graphical Programming | Supported |
| Side Following System | ISS 2.0 |
| Obstacle Detection and Avoidance | Supported |
| OTA Updates | Supported |
| Video Transmission | RTT 2.0 |
| Servo | No |
| Depth Camera | No |
| Lidar HESAI XTi6 | No |
| Lidar Mid-360 | No |
| 4D Lidar L1 | Built-in |
| 4D Lidar L2 | No data |
| Wireless Charging (Accessory) | No |
Tool for Professional Tasks
The Edu version is designed as a fundamental solution for developers and technical specialists.
- Development Ecosystem: full support for ROS (Robot Operating System), Python, and C++ allows integrating the robot into existing software complexes — from educational stands to industrial monitoring systems.
- Modularity and Customization: free communication and power interfaces on the body allow for equipping the platform with additional equipment: from manipulators and thermal imagers to gas analyzers and 4G/5G communication systems.
- Autonomy and Endurance: battery capacity is optimized for long patrol cycles or research missions, providing several hours of active work in autonomous mode.
Applications and Integration
The versatility of the Unitree Go2 Edu platform makes it in demand in various scenarios:
Engineering Education
Autonomous SLAM navigation systems provide a testing ground for studying AI, navigation, and biomechanics, where software code instantly translates into physical movement. This is a powerful platform for learning robotics.
Technical Monitoring
Automation of inspection of hard-to-reach infrastructure areas, tunnels, and industrial zones where the risk to personnel is unjustified.
Quadruped Robot for Research: Special Tasks
Use as a mobile sensor node for territory reconnaissance or delivery of small cargoes on difficult terrain.
Investment in Technological Excellence
Unitree Go2 Edu is an opportunity to go beyond standard solutions today. Owning such a platform provides access to advanced competencies in robotics, shortening the path from idea to working prototype.
For those shaping the technological landscape of tomorrow, Unitree Go2 Edu becomes not just an acquisition, but a key asset in the arsenal of a modern engineer. You can familiarize yourself with detailed specifications and configuration options for your tasks with our managers. Call: 3DDevice experts will help you choose a robot for specific tasks.
