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Unitree Go2 Edu Standard

16.819,0013.900,00

13.900,0011.487,60 exclusive of VAT

Excl. VAT

Incl. VAT

Available on back-order

Estimated delivery between 15/07/2026 - 18/07/2026

Join the waitlist to be emailed when this product becomes available

Highlights

  • Advanced four-legged robot designed for research and teaching
  • Maximum speed up to about 3.7 m/s for fast and stable mobility
  • Carrying capacity of about 8 kg (max. 12 kg) for additional modules and sensors
  • Supports extensions such as LiDAR, cameras and AI computing modules
  • Robust construction with aluminium alloy and high-quality technical materials

Customer review: 9,6 / 10
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Unitree Go2 Edu Standard: The Ultimate Platform for Robotic Innovation

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The Unitree Go2 Edu Standard is the bridge between theoretical AI and physical reality. Specially developed as an open-architecture platform for universities, research labs and R&D departments, this robot offers the perfect balance between brute force and programmable intelligence. The Edu Standard is not just a machine, but a versatile canvas for next-generation algorithms in autonomous navigation, machine learning and human-robot interaction.

Unitree Go2 Pro

Unprecedented Power & Dynamic Mobility

At the heart of the Go2 Edu Standard are Unitree's powerful actuators with an impressive torque of 45 Nm. This enables the robot to operate at a top speed of around 3.7 m/s, while maintaining unparalleled stability on complex terrain. Whether climbing stairs or navigating unstructured outdoor environments, the Edu Standard performs every movement with the precision required for scientific research and industrial inspection.

Modular Flexibility & Open Development

What sets the Edu Standard apart is its ability to grow with your projects. Thanks to its robust payload capacity of up to 12 kg and support for high-performance computing docks, developers can effortlessly integrate additional LiDAR sensors, depth cameras or even robotic arms. This makes the platform ideally suited for testing complex SLAM algorithms and advanced AI applications that require computing power at the “edge”. Product Unitree Go2 Pro

Industrial Building Quality for Intensive Research

Designed for durability without compromising on mobility; the construction of a high-quality aluminium alloy and engineering polymers ensures that the robot can withstand the demands of daily use in testing environments. The Go2 Edu Standard is an investment in a future-proof ecosystem supported by extensive software compatibility, allowing researchers to focus directly on innovation rather than hardware limitations.
Product Unitree Go2 Edu Standard
EAN DDG_PRO_801049
Payload ≈ 8 kg (MAX ~ 12 kg)
Material Aluminium alloy + high-grade technical plastic
Tension 28 V ~ 33.6 V
Maximum working capacity Approximately 3000 W
Speed 0 ~ 3.7 m/s (MAX ~ 5 m/s)
Maximum climbing angle 40°
Basic computing power 8-core high-performance CPU
Maximum joint torque About 45 N.m
Aluminium knee joint motor 12 sets
Movement range
Body -48 ~ 48°
Thigh -200° ~ 90°
Lower leg -156° ~ -48°
Internal joint circuit (knee) Yes
Joint heat pipe cooling Yes
Super-wide-angle 3D LiDAR Yes
Wireless vector positioning tracking module Yes
HD wide-angle camera Yes
Foot-end force sensor Yes
Basic actions Yes
Upgraded intelligent OTA Yes
RTT 2.0 image transmission Yes
Graphical programming Yes
Front light Yes
WiFi 6 with dual-band Yes
Bluetooth 5.2 / 4.2 / 2.1
4G module Yes
Voice function Yes
ISS 2.0 intelligent side-follow system Yes
Intelligent detection and obstacle avoidance Yes
Charging station compatibility Yes
Secondary development Yes
Manual controller Yes
High computing module NVIDIA Jetson Orin (optional) (40-100 TOPS of computing power)
Smart battery Long autonomy (15000 mAh)
Battery life About 2-4 hours
Charger Fast charging (33.6 V 9 A)
Weight (with battery) About 15 kg
1x Unitree Go2 EDU robot dog
1x Remote control
1x Smart battery (long-term use 15000 mAh)
1x Charger EU (standard 33.6 V 3.5 A, fast charging 33.6 V 9 A)
Go2 Edu series
Go2 Edu Plus series
Go2 Ent series
Unitree Go2 remote control
Unitree Go2 charging station
Unitree Go2 standard battery (8000 mAh)
Unitree Go2 long-life battery (15000 mAh)
Unitree expansion dock - NVIDIA Jetson Orin NX
Intel RealSense D435i depth camera
Unitree dual camera module
Unitree protection bracket

Unitree Go2 Edu Standard

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About products

1. What products do you have and what are they for?

Made for robot enthusiasts and robot beginners, the Go1 Air and Go1 Pro fall into the consumer market.

The Go1 Edu version is aimed at education and scientific research, entertainment, fun to play and robot researchers and developers.

The AlienGo and B1 are mainly intended for industrial applications (site inspections, such as substation inspections, surveying and mapping in construction, etc.), e.g. in the electricity, petrochemical and coal industries, as forward-looking industrial technology.

The Z1 robot arm series is ideally suited to work together with the AlienGo and B1 (the most suitable robot), four-legged robots and other mobile robots to perform complex tasks and explore various application scenarios.

2. How far is the remote control?

With the standard controller, it is like connecting to a Wi-Fi hotspot. The range for the phone connection to the robot dog is about 50 to 60 metres. With the enhanced controller, under unobstructed and interference-free conditions, you can control the robot dog up to a maximum of 500 metres to 1 kilometre, but in normal conditions, a range of at least 200 metres is achievable.

The improved controller is a mini-handheld ground station, similar to the DJI RC Pro for drones, making the remote control capabilities much stronger.

3. Can the robot dog climb stairs?

All stair runners can climb stairs, the maximum height they can climb is:
Go1: 12 cm (4.7 inches)
AlienGo: 18 cm (7 inches)
B1: 20 cm (7.9 inches)
Note: Boston Dynamic spot: typical 7-inch rise for 10-11-inch

4. What is the maximum speed of the robot dog?

Go1: 4.7 m/s (10.5 mph)
AlienGo: 2 m/s (4.47 mph)
B1: 1.8 m/s (4 mph)
Note: Boston Dynamic advertising: 1.6 m/s

5. Is the robot dog holder dustproof and waterproof?

Only B1 is supported, other models are not.

6. What is the maximum payload of the robot dog?

Go1: 3-5 kg (6.6-11 lbs)
AlienGo: 10 kg (22 lbs)
B1: 104 kg (229 lbs)
Note: Boston Dynamic spot: 14 kg (30.9 lbs)

7. Which sensor can be placed on top of the robot dog?

For Go1 Edu, we provide Go1 Edu Explorer. Go1 Edu Explorer is based on Go1 Edu, but supplemented with accessories such as NVIDIA Jetson NX with software and Lidar with software.

After lidar installation, Go1 Edu Explorer supports dynamic obstacle detection, navigation planning, map building and self-positioning. After installation of NX, Go1 Edu Explorer supports gesture recognition, VSLAM and professional secondary development (machine learning, etc.).

The Go1 Edu also supports a high-resolution image transfer system (similar to DJI drones) and a person tracking function (using a wireless vector positioning system). The Go1 Edu can handle uneven terrain and perform various movements, such as rolling, jumping, upside down, walking, fast walking, running, and so on.

The customer can also add other sensors, such as gas detection sensor, laser scanner, speaker, warning lamp, thermal imaging camera and powerful search lamp, etc., for various applications.

8. Does the robot dog support 4G/5G and GPS?

Currently, only the Go1 Edu 4G and the B1 support 4G and 5G, and only the B1 has built-in GNSS for GPS support. Customers must build their own server to use 4G or 5G functionality.

9. What is the voltage and amperage of the external power supply for Go1 Edu?

Normally, we need a stable DC power supply (24V, 20A-30A) for the Go1 Edu, and the connection port for the cable is XT30 or XT30U.

10. What is the camera on the robot dog?

Go1 Edu with 5-group fisheye camera (camera developed by Unitree Robotics).

AlienGo equipped with 3-group cameras, 2-group depth sensors (Intel RealSense D435) and 1-group visual remote camera (T265).

B1 equipped with 5-group sensors (Intel RealSense D430).

11. Does Go1 Edu support all types of navigation APIs? What is the difference between Go1 Edu, AlienGo and B1 in terms of support for this SDK/API?

We did not release an SDK/API related to navigation on GitHub, because navigation is LiDAR-based and we normally ship all software together with the robot dog. Unitree_legged_sdk is our core API for high- and low-level control, and this API supports all models.

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Unitree Go2 Edu Standard

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