The Unitree Go2 Edu Plus series redefines the boundaries of quadruped robotics for education, research, and advanced development.
At its core, every Unitree Go2 Edu Plus robot boasts impressive features including a powerful 8-core high-performance CPU, 12 aluminum knee joint motors with a peak torque of 45 N.m, and a robust design crafted from aluminum alloy and high-strength engineering plastic.
Unitree Go2 Edu Plus four versions
Here’s a breakdown of the key differentiators among the Unitree Go2 Edu Plus versions:
Unitree Go2 Edu Plus (40 Tops computing): This version is an excellent entry point for advanced robotics. Equipped with an NVIDIA Jetson Orin module providing 40 TOPS (Tera Operations Per Second) of computing power, it’s ideal for introductory applications in AI, basic mechatronics, and LiDAR integration.
It offers robust performance for students and researchers exploring fundamental robotics concepts and developing initial algorithms. Unitree Go2 Edu Plus (100 Tops computing): Stepping up the processing power, this model integrates an NVIDIA Orin NX module, delivering a substantial 100 TOPS of mega-computing power.
This significant boost enables more demanding AI algorithms, advanced spatial recognition, and complex data processing. It’s perfectly suited for researchers and developers pushing the boundaries of autonomous navigation, sophisticated AI tasks, and intricate robotic control. Unitree Go2 Edu Plus (Mid-360 Lidar): This specialized version builds upon the 100 TOPS computing power and integrates a Livox MID-360 LiDAR module.
This compact and lightweight LiDAR provides 3D perception with a 360° horizontal and -7° to 52° vertical field of view, making it exceptional for Simultaneous Localization and Mapping (SLAM) in diverse environments and precise obstacle avoidance. It empowers the robot to create detailed point cloud maps and execute highly accurate autonomous navigation. Unitree Go2 Edu Plus (XT16 Lidar): For applications demanding even higher precision and range in LiDAR sensing, the XT16 Lidar version comes equipped with a Hesai XT16 3D LiDAR.
This LiDAR offers a 360° spinning field of view with high precision, ranging from 0.05m to 120m, and an accuracy of cm. This makes it an invaluable tool for highly accurate environmental mapping, advanced navigation in complex and expansive terrains, and detailed object detection in research and industrial settings.
Overview about different versions
1. Technical Specifications Comparison
| Feature | Go2 Edu Plus (40 TOPS) | Go2 Edu Plus (100 TOPS) | Go2 Edu Plus (Mid-360 LiDAR) | Go2 Edu Plus (XT16 LiDAR) |
|---|---|---|---|---|
| Computing Power | 40 TOPS (AI Processing) | 100 TOPS (AI Processing) | 40 TOPS (Default) | 40 TOPS (Default) |
| Processor | High-performance AI chip | Upgraded AI chip | Standard AI chip | Standard AI chip |
| LiDAR Sensor | None (or basic) | None (or basic) | Mid-360 LiDAR (360° scanning, medium range) | XT16 LiDAR (long-range, high-precision) |
| Depth Perception | Stereo cameras (default) | Stereo cameras (default) | Enhanced with Mid-360 LiDAR | Enhanced with XT16 LiDAR |
| Autonomy & Navigation | Basic SLAM capabilities | Advanced SLAM | Improved 3D mapping & navigation | High-precision long-range mapping |
| Duración de la batería | ~3-5 hours (varies) | ~3-5 hours (varies) | ~3-5 hours (varies) | ~3-5 hours (varies) |
| Capacidad de carga útil | ~5 kg | ~5 kg | ~5 kg |
2. Applications & Use Cases
A. Go2 Edu Plus (40 TOPS)
Best for: Entry-level AI research, robotics education, basic autonomous navigation.
Use Cases:
University robotics labs
Simple SLAM (Simultaneous Localization and Mapping) experiments
Basic computer vision & AI model testing
B. Go2 Edu Plus (100 TOPS)
Best for: High-performance AI computing, advanced robotics research.
Use Cases:
Real-time deep learning applications
Complex autonomous navigation in dynamic environments
AI-driven object recognition & interaction
C. Go2 Edu Plus (Mid-360 LiDAR)
Best for: Indoor/outdoor 3D mapping, mid-range navigation.
Use Cases:
Warehouse automation (obstacle avoidance)
Indoor robotic inspections (factories, buildings)
Mid-range environmental scanning
D. Go2 Edu Plus (XT16 LiDAR)
Best for: Long-range, high-precision mapping & industrial applications.
Use Cases:
Search & rescue operations
Large-scale terrain mapping (construction, agriculture)
High-accuracy autonomous navigation in complex environments
3. Which One Should You Choose?
| Choose This Model If… | Best Fit For |
|---|---|
| 40 TOPS | Budget-friendly AI & robotics education |
| 100 TOPS | High-speed AI processing & complex algorithms |
| Mid-360 LiDAR | Mid-range 360° scanning for indoor/outdoor use |
| XT16 LiDAR | Industrial-grade, long-range precision mapping |
4. List of unitree GO2 EDU PLUS robots
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Vista rapida
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Vista rapida
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Choose your own version
Regardless of the specific version, all Unitree Go2 Edu Plus robots are designed for secondary development, offering compatibility with ROS (Robot Operating System) and support for various programming languages like Python and C++. This open and versatile platform empowers users to customize, experiment, and innovate, making the Unitree Go2 Edu Plus a truly adaptable solution for the evolving world of robotics.
Choose the Unitree Go2 Edu Plus that best aligns with your computational and sensory requirements, and unlock new possibilities in robotics research, education, and development!
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