Introducing Unitree Go 2 Edu-U3 Robot
The Unitree Go2 EDU U3 with Controller is a cutting-edge quadruped robot designed for education, research, and hands-on learning in robotics and AI. Combining agility, stability, and advanced sensors, it provides an interactive platform for students, researchers, and robotics enthusiasts to explore autonomous navigation, control systems, and intelligent robotics applications.
Built for versatility and precision, the Go2 EDU U3 features robust motors, IMU sensors, depth cameras, and ultra-wide-angle 3D LiDAR for real-time obstacle detection and environment mapping. Its compact and lightweight design ensures easy deployment across indoor and outdoor environments, while maintaining balance and smooth movement on various terrains.
Equipped with a handheld controller and ROS compatibility, the Unitree Go2 EDU U3 allows both manual operation and advanced programming for AI and robotics projects. This makes it an ideal tool for prototyping, experimentation, research, and educational demonstrations, empowering users to learn and innovate with a fully functional quadruped robot.
Features of Unitree Go2 Edu-U3
Intelligent Interaction
Enhanced Ultra-Wide 4D LiDAR — 200% Boost in Recognition Accuracy
The Unitree Go2 EDU U3 features an upgraded ultra-wide 4D LiDAR system that enhances environmental recognition by up to 200%. This advanced sensing module delivers a broader field of view and higher detection precision, enabling the robot to perceive its surroundings in greater detail. Whether it’s mapping indoor labs or navigating outdoor terrains, the improved LiDAR system ensures faster, more accurate object recognition and obstacle avoidance, resulting in smarter, smoother, and safer autonomous movement.
Use Cases of Unitree Go2 EDU U3 with Controller
Educational Robotics & Learning Labs:
Perfect for universities, engineering institutes, and robotics programs, the Unitree Go2 EDU U3 serves as a practical teaching platform for subjects like AI, computer vision, motion control, and mechatronics. Students can directly program and experiment with real robotic systems, bridging the gap between theory and hands-on innovation.
AI & Robotics Research:
With ROS/SDK support and an open-source programming environment, the Go2 EDU U3 enables researchers to develop and test custom algorithms in navigation, reinforcement learning, or multi-robot collaboration. Its high-precision sensors and 4D LiDAR make it ideal for simulation-based or real-world robotics research.
Autonomous Navigation & Mapping:
The robot’s upgraded 4D LiDAR and depth-sensing technology allow it to autonomously map new environments, plan routes, and avoid obstacles intelligently. It’s a valuable tool for exploring SLAM (Simultaneous Localization and Mapping) and environment perception studies.
STEM Competitions & Demonstrations:
The Go2 EDU U3’s agility and programmability make it a strong candidate for robotics competitions and STEM showcases. Its ability to perform dynamic maneuvers, adapt to terrains, and execute coded behaviors demonstrates advanced robotics in action.
Human-Robot Interaction & Experimentation:
Designed with responsive motion and interactive control, it’s ideal for testing algorithms related to human-robot communication, gesture response, and cooperative task execution. Its intelligent movement patterns make it suitable for experiments in interaction design and robotics behavior modeling.
Inspection & Surveillance Research:
The Unitree Go2 EDU U3 can simulate real-world inspection and surveillance scenarios, patrolling predefined routes while collecting environmental data. This helps researchers and developers test monitoring systems and AI-based alert mechanisms in controlled conditions.
Specifications
Specifications Comparison for different Models
| Category | Go2 AIR | Go2 PRO | Go2 EDU |
|---|---|---|---|
| Configuration Note | Contact Unitree for available configurations | ||
| Dimensions (Standing) | 70 × 31 × 40 cm | 70 × 31 × 40 cm | 70 × 31 × 40 cm |
| Dimensions (Crouching) | 76 × 31 × 20 cm | 76 × 31 × 20 cm | 76 × 31 × 20 cm |
| Weight (with battery) | ≈ 15 kg | ≈ 15 kg | ≈ 15 kg |
| Material | Aluminum alloy + engineering plastic | Aluminum alloy + engineering plastic | Aluminum alloy + engineering plastic |
| Voltage Range | 28V – 33.6V | 28V – 33.6V | 28V – 33.6V |
| Max Power Output | ≈ 3000W | ≈ 3000W | ≈ 3000W |
| Payload | ≈ 7 kg (Max ~10 kg) | ≈ 8 kg (Max ~10 kg) | ≈ 8 kg (Max ~12 kg) |
| Top Speed | Up to 2.5 m/s | Up to 3.5 m/s | Up to 3.7 m/s (Max 5 m/s) |
| Max Climb Height | ≈ 15 cm | ≈ 16 cm | ≈ 16 cm |
| Max Climb Angle | 30° | 40° | 40° |
| Computing Power | – | 8-core High-performance CPU | 8-core High-performance CPU |
| Joint Torque | – | ≈ 45 N·m | ≈ 45 N·m |
| Aluminum Knee Motors | 12 units | 12 units | 12 units |
| Range of Motion | Body: ±48°, Thigh: -200° | ||
| Internal Joint Wiring | Yes | Yes | Yes |
| Heat Dissipation Pipes | Yes | Yes | Yes |
| 3D LiDAR | Yes | Yes | Yes |
| HD Wide-Angle Camera | Yes | Yes | Yes |
| Foot-End Force Sensor | – | Optional | Yes |
| Wireless Tracking | Optional | Yes | Yes |
| Basic Actions | Yes | Yes | Yes |
| Auto-Scaling Strap | Optional | Yes | Optional |
| OTA Upgrade | Yes | Yes | Yes |
| Graphical Programming | Yes | Yes | Yes |
| Wi-Fi 6 (Dual-Band) | Yes | Yes | Yes |
| Bluetooth | Yes (5.2 / 4.2 / 2.1) | Yes | Yes |
| 4G Module | Optional | Yes | Yes |
| Voice Function | Optional | Yes | Yes |
| Side-Follow System (ISS 2.0) | Optional | Yes | Yes |
| Obstacle Avoidance | Yes | Yes | Yes |
| Charging Pile Support | Optional | Optional | Yes |
| SDK / Dev Support | Optional | Optional | Yes |
| Manual Controller | Optional | Optional | Included |
| High Compute Module | Optional | Optional | NVIDIA Jetson Orin (40–100 TOPs) |
| Battery Type | Standard (8000mAh) | Standard (8000mAh) | Long Endurance (15000mAh) |
| Battery Life | ≈ 1–2 hours | ≈ 1–2 hours | ≈ 2–4 hours |
| Charger | Standard (33.6V / 3.5A) | Standard (33.6V / 3.5A) | Fast (33.6V / 9A) |
| Warranty | 6 months | 12 months | 12 months |
FAQs
What is the difference between the Unitree Go2 AIR, PRO, and EDU models?
The main differences lie in payload capacity, maximum speed, battery options, and computing power.
EDU is tailored for advanced research, featuring an optional NVIDIA Jetson Orin module and a larger 15000mAh battery for extended use.
PRO offers a balance of speed (up to 3.5 m/s) and features like force sensors and ISS 2.0.
AIR is the lightweight, entry-level option with core features for general mobility and autonomy
How does the 4D LIDAR enhance the Go2’s navigation capabilities?
Unitree Go2 EDU U3 integrates 4D LiDAR with 360°x90° coverage, allowing near-blindspot-free recognition. It detects objects as close as 0.05 meters, enabling safe, intelligent navigation across complex or cluttered environments.
Can the Unitree Go2 EDU U3 operate autonomously, and how is it controlled?
Yes. Unitree Go2 EDU U3 supports autonomous navigation via:
3D LiDAR mapping
ISS 2.0 Intelligent Side-follow
Custom path setting and point cloud mapping through the companion app.
Control options include:
Mobile app
Manual controller (optional/included depending on the model)
Wireless connectivity (WiFi, 4G
What is the battery life, and are there upgrade options?
AIR & PRO: ~1–2 hours (8000mAh battery)
EDU: ~2–4 hours with the optional 15000mAh battery
Charging time is reduced using the 33.6V 9A fast charger (standard on EDU).
What kind of computing power does Unitree Go2 EDU U3 support?
Unitree Go2 EDU U3 Supports optional NVIDIA Jetson Orin (40–100 TOPS) — ideal for AI, robotics research, and custom development.
How does ISS 2.0 improve tracking and follow performance?
ISS 2.0 is a wireless vector positioning system that improves tracking accuracy by up to 50% over earlier versions. It allows smooth, intelligent side-following — even around obstacles or in dynamic environments.
Can the Unitree Go2 EDU U3 handle stairs and rough terrain?
Yes. Unitree Go2 EDU U3 model handles up to 40° incline and can climb over 16 cm obstacles. With AI-powered adaptive mobility, the Go2 navigates stairs, slopes, and uneven surfaces effectively.
Is it possible to program custom actions or behaviors?
Yes. Unitree Go2 EDU U3 supports graphical programming and is designed for secondary development.
This enables users to create custom movements, behaviors, and applications — ideal for education and R&D.
Does Unitree Go2 EDU U3 support real-time control over WiFi or Bluetooth?
Absolutely. It features:
WiFi6 dual-band (802.11ax)
Bluetooth 5.2/4.2/2.1
These enable seamless image transmission, control (RTT 2.0), and monitoring in real time.
What after-sales support and warranty does Unitree offer?
12-month warranty. Warranty covers manufacturer defects, with repair/replacement support under defined conditions.
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