Description

Unitree Go2 Edu Quadruped Robot – High-Level Autonomy for Research & Development

The Unitree Go2 Edu Quadruped Robot is the most advanced configuration in the Go2 quadruped series, purpose-built for universities, research institutes, and high-level robotics development. Equipped with a high-capacity battery, embedded Jetson Orin Nano, RealSense depth camera, full SDK/API access, and dual real-time operating systems, it is engineered for innovation in autonomous systems, SLAM, and AI interaction.

Key Features:

• Extended Runtime: Powered by a high-capacity 15,000 mAh battery with fast charging (33.6V/9A), enabling 2–4 hours of field operation.
• Full SDK and API Access: Supports both high-level and low-level APIs with real-time sensor data, Python and C++ SDKs, and full secondary development support.
• Dual Operating System Architecture: Real-time control system (Ubuntu) and environment awareness (Ubuntu-ROS) streamline integration with modern robotics workflows.
• Robust AI Platform: Integrated expansion dock featuring NVIDIA Jetson Orin Nano 8GB (40 TOPS) for onboard AI computation and real-time inference.
• Enhanced Perception: Comes with Intel RealSense D435i depth camera and 3D LiDAR for robust SLAM and spatial understanding.
• Open Source Integration: Access official technical resources via GitHub and Yuque documentation.
• Full Sensor Access: Foot sensors and raw data streams are available for monitoring, analysis, and machine learning integration.
• Advanced Motion: Includes moon step, bow, flips, and other expressive motion sequences for interaction and control experiments.
• Handheld Remote Controller: Included in the EDU kit for precise manual operation during testing and demo scenarios.
• Optional Expansion: Supports plug-in robotic servo arm for manipulation tasks.

Technical Specifications:

• Weight: Approx. 15 kg (including battery)
• Top Speed: 2.5 m/s
• Battery: 15,000 mAh Li-ion (runtime: 2–4 hours)
• Charging Adapter: 33.6V / 9A fast charger
• Load Capacity: ~8 kg (maximum limit: ~10 kg)
• Dimensions: 70 × 31 × 40 cm
• Climbing Height: Up to 16 cm
• Climbing Slope: Up to 40°
• Joint Movement Range: Body: -48° to +48°, Thigh: -200° to +90°, Calf: -156° to -48°
• Operating System: Dual RTOS (Ubuntu for motion control; Ubuntu-ROS for environment awareness)
• Computing Platform: Jetson Orin Nano 8GB, 40 TOPS AI performance
• Interfaces: USB, Ethernet, GPIO, UART
• Control Range: Up to 100 m
• Sensors: 3D LiDAR, RealSense D435i, Foot Sensors (raw data accessible)
• Connectivity: WiFi 6, Bluetooth 5.2/4.2/2.1
• Development Support: High/low-level APIs, full Python and C++ SDKs

Applications:

• Robotics and autonomy research in universities
• AI algorithm training and simulation environments
• SLAM and navigation system development
• Multi-sensor fusion and control system research
• Hands-on robotics education and teaching

Included in the Go2 Edu Package:

• Unitree Go2 Edu Quadruped Robot
• Long-Life Battery (15,000 mAh)
• Fast Charging Adapter (33.6V 9A)
• Handheld Remote Controller
• Intel RealSense D435i Depth Camera
• Expansion Dock with Jetson Orin Nano 8GB
• Basic Tool Kit
• Documentation & Software Access

Expert Support and UK-Based Service

As an authorised reseller, Thermal Vision Direct provides advanced technical support, development assistance, and educational guidance for Unitree’s research platforms. We support universities, labs, and R&D teams with tailored onboarding, SDK training, and expansion kits.

Warranty

The Unitree Go2 Edu includes a one-year warranty covering defects in materials and manufacturing under normal academic or research usage.

Need Help Choosing the Right Platform?

Thermal Vision Direct we offer technical guidance, integration advice, and aftersales support for all Unitree robotic platforms. Whether you’re building a university research project or deploying inspection robotics in the field, we provide full onboarding support and custom bundles. Get in touch here.