Product description: Four-legged walking platform - robo dog - Unitree Go2 Edu
Unitree Go2 Edu is the flagship of next-generation four-legged educational robots , offering extensive research and development capabilities in the fields of mobile robotics , machine perception, and artificial intelligence. Equipped with a powerful computing module ( Jetson Orin ), advanced sensors (4D LiDAR, depth camera), and the modern ISS2.0 tracking system , the platform enables advanced testing in navigation, SLAM, image processing, and autonomous movement.
Four-legged walking platform - robo dog - Unitree Go2 Edu.
One of the greatest advantages of the Go2 Edu model is its open architecture, designed to provide maximum freedom and expandability in educational and research applications.
Main features of Go2 Edu
- Advanced learning platform : designed for learning, researching and implementing AI and robotics systems
- NVIDIA Jetson Orin high-performance computing engine : provides enormous power for processing AI algorithms
- Ultra-wide-angle 4D LiDAR : 360° x 90° detection, minimal dead zone and precise localization, detection distance from 0.05 m
- 12 motors with force control : precise and stable movements, torque up to 45 N*m
- Hidden wiring and heat pipes : increased component durability and safety
- Intelligent obstacle avoidance : dynamically avoids objects thanks to 3D scanning
- OTA - remote software updates : always up-to-date robot capabilities
- Graphical programming : the perfect drag & drop learning environment
- ISS 2.0 - Intelligent Side Tracking System : vector-accurate tracking with a range of over 30 m
- Extensive connectivity : WiFi 6, Bluetooth 5.2, 4G LTE, Ethernet port
- Optimized gait algorithms : supine walking, rolling, climbing and jumping
- High-capacity battery : up to 4 hours of operation
Advanced tracking, positioning, and AI features
Go2 Edu utilizes the advanced ISS2.0 tracking system, based on wireless vector technology , which allows for precise tracking of the operator with a range of over 30 meters in dynamic environments. The robot can perform a variety of postures and movements—from walking backward and rolling to dancing, sitting, and jumping. Thanks to its high flexibility, it maintains balance and stability in challenging terrain . and its AI algorithms enable autonomous navigation and adaptation to the environment.
Intelligence supported by hardware
The Go2 Edu is equipped with 12 precision motors with torque up to 45 Nm , resulting in high maneuverability and smooth movements. The aluminum-composite housing ensures durability while maintaining a low weight (15 kg). Perception is provided by a hemispherical 4D LiDAR sensor, an Intel RealSense depth camera, a microphone, and pressure sensors in the limbs . The 15,000 mAh battery offers up to 4 hours of operation, and 33.6 V / 9 A charging allows for quick resumption of operation.
Through large-scale simulation using artificial intelligence, the Go2 robot learned advanced walking techniques such as walking upside down, adaptively tumbling, and overcoming obstacles.
An optimized obstacle avoidance strategy allows the robot to better navigate complex terrain.
Extensive control options and interfaces
You can control the robot using the included wireless controller or through a dedicated mobile app . Go2 Edu also supports voice commands , and optional extensions allow you to create autonomous movement sequences. Thanks to Ethernet ports, USB Type-C , and wireless connectivity (WiFi 6, Bluetooth 5.2, 4G - eSIM), the robot can be easily integrated with external systems and IoT platforms. The Edu version also allows you to connect a docking station with I/O ports and extensions (e.g., D1 arm, other LiDARs).
Software and Open Architecture for Education
Unitree Go2 Edu supports programming in C++ and Python, as well as integration with the ROS and ROS 2 frameworks. An open API allows for low-level motion control and access to raw sensor data. Thanks to documentation and a graphical programming environment, you can create your own applications in computer vision, SLAM, obstacle detection, and image recognition.
Kit contents
- Unitree Go2 Edu Robot
- 15000 mAh battery
- Fast charger (300W)
- Set of foot pads (4 pcs.)
- Leg calibration device
- Service stand
- USB Type-A / USB Type-C Cable
- Transport case
- Wireless remote control
- Manual controller
The Go2 is equipped with 4D LIDAR L1 with an ultra-wide 360° x 90° field of view.
| Unitree Go2 Robot Technical Specifications and Comparison | |||
|---|---|---|---|
| Parameter | AIR | PRO | EDU |
| Material | aluminum alloy + engineering plastic | aluminum alloy + engineering plastic | aluminum alloy + engineering plastic |
| Supply voltage | from 28 V to 33.6 V | from 28 V to 33.6 V | from 28 V to 33.6 V |
| Maximum power | approx. 3000 W | approx. 3000 W | approx. 3000 W |
| Lifting capacity | ~7 kg (max 10 kg) | ~8 kg (max 10 kg) | ~8 kg (max 12 kg) |
| Speed | from 0 m/s to 2.5 m/s | from 0 m/s to 3.5 m/s | from 0 m/s to 3.7 m/s (max 5 m/s) |
| Max step height | approx. 15 cm | approx. 16 cm | approx. 16 cm |
| Max tilt angle | 30° | 40° | 40° |
| Engines (joints) | 12 pcs. | 12 pcs. | 12 pcs. |
| Range of motion | Torso: -48° to 48°; Thigh: -200° to 90°; Lower leg: -156° to -48° | Torso: -48° to 48°; Thigh: -200° to 90°; Lower leg: -156° to -48° | Torso: -48° to 48°; Thigh: -200° to 90°; Lower leg: -156° to -48° |
| Torque | - | approx. 45 N*m | approx. 45 N*m |
| LiDAR module | Yes | Yes | Yes |
| Wireless Vector Positioning Tracker | NO | Yes | Yes |
| HD wide-angle camera | Yes | Yes | Yes |
| Depth camera module | NO | Yes | Yes |
| ISS2.0 Tracker | NO | Yes | Yes |
| Voice functions | NO | Yes | Yes |
| WiFi connectivity | WiFi 6 (dual-band) | WiFi 6 (dual-band) | WiFi 6 (dual-band) |
| Bluetooth | 5.2 / 4.2 / 2.1 | 5.2 / 4.2 / 2.1 | 5.2 / 4.2 / 2.1 |
| 4G module | NO | Yes | Yes |
| Manual controller | optional | optional | included in the set |
| Automatic charging function | NO | NO | yes (compatibility) |
| Graphical programming | Yes | Yes | Yes |
| OTA system | Yes | Yes | Yes |
| Computing unit | lack | lack | Nvidia Jetson Orin |
| Battery | 8000 mAh | 8000 mAh | 15000 mAh |
| Working time | approx. 1-2 hours | approx. 1-2 hours | approx. 2-4 hours |
| Landing | standard (33.6V / 3.5A) | standard (33.6V / 3.5A) | fast (33.6 V / 9 A) |
| Dimensions (standing) | 70 x 31 x 40 cm | 70 x 31 x 40 cm | 70 x 31 x 40 cm |
| Dimensions (folded) | 76 x 31 x 20 cm | 76 x 31 x 20 cm | 76 x 31 x 20 cm |
| Weight (with battery) | approx. 15 kg | approx. 15 kg | approx. 15 kg |
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