Unitree Go2 EDU Package (Basic Version) – Robot Quadruped with Jetson Orin NX 8GB (40 TOPS)
The Unitree Go2 EDU Package is the most capable teaching and research-ready configuration of the Go2 platform. This bundle includes the Go2 EDU robot plus a Jetson Orin NX 8GB (40 TOPS) compute module installed and configured for AI perception, machine learning, SLAM, autonomous navigation and real-time onboard processing. Ideal for secondary schools, tertiary robotics programs, and Australian research labs needing a stable, open and high-performance quadruped platform.

What’s included in the EDU Package
- Unitree Go2 EDU quadruped robot – unlocked performance tier with higher speed, torque and sensor tuning.
- Jetson Orin NX 8GB AI compute unit (40 TOPS) – installed in LF configuration for onboard ML/AI workloads.
- 4D LiDAR L1 – 360°×90° perception for SLAM, mapping and navigation research.
- HD wide-angle camera – low-latency FPV and computer vision input.
- Smart battery – Unitree high-capacity battery with overcurrent and temperature protection.
- Wi-Fi 6 / Bluetooth 5.2 – fast, stable connectivity for labs and classrooms.
- SDK access – Python/C++ interfaces for control, sensing and autonomy development.
Why choose the EDU version?
Compared to the AIR and PRO models, the Go2 EDU delivers higher performance, more sensor access and a research-grade motion pipeline while still being manageable for classroom deployment.
- Higher compute + open SDK for machine learning, reinforcement learning and robotics algorithms.
- Research-level locomotion with stronger joints and improved stability.
- More responsive sensing for autonomy and environmental interaction projects.
- Supports heavier AI workloads thanks to the Orin NX module.
- Future-proof for expansion into vision, mapping, and manipulation.
About the Jetson Orin NX 8GB (40 TOPS)
This package includes the Jetson Orin NX 8GB compute unit, offering up to 40 TOPS of AI performance. It’s ideal for:
- Real-time object detection and tracking
- SLAM and 3D mapping
- Edge AI model deployment (Vision Transformers, Yolo, DeepSORT, etc.)
- Autonomous navigation and gait adaptation
- Onboard dataset collection and logging

Performance Overview
Why this package suits AU classrooms & labs
Recommended add-ons
- Long-life battery (15,000 mAh) for extended runtime
- MID360 LiDAR or RealSense D435i for depth & mapping upgrades
- MK15 remote controller with display
- D1 arm (educational manipulator) for research projects
FAQs
What’s the difference between Go2 EDU and Go2 Air?
What’s installed on the Orin NX?
Do I need a remote controller?
Updated December 2025 • Specifications based on official Unitree documentation.
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