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Unitree Go2 Edu Plus

20.449,0016.900,00

16.900,0013.966,94 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, AI development and education
  • Maximum speed up to 3.7 m/s with peak performance up to 5 m/s
  • Supports NVIDIA Jetson Orin AI computing modules for advanced robotics applications
  • Equipped with 3D LiDAR, HD camera and foot force sensors for navigation and detection
  • Robust construction with aluminium alloy and high-quality technical plastic

Customer review: 9,6 / 10
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Unitree Go2 Edu Plus: The Ultimate High-Performance Research Platform

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The Unitree Go2 Edu Plus represents the absolute pinnacle of the Go2 series for academic and industrial research. Where standard models stop, the Edu Plus goes further by coupling brute mechanical power with massive computing power at the “edge”. This platform is specifically designed for the most demanding scenarios in AI development, autonomous exploration and complex machine learning, making it the undisputed choice for top universities and innovative tech labs worldwide.

Unitree Go2 Edu Plus

Boundless Performance & Dynamic Power

The Edu Plus is equipped with ultra-responsive actuators that generate an impressive torque of 45 Nm. With this, the robot not only reaches a cruising speed of 3.7 m/s, but can accelerate up to 5 m/s in specific modes. This speed, combined with a payload capacity of up to 12 kg, makes the robot suitable for heavy-duty tasks such as industrial inspections or carrying complex sensor arrays. Thanks to integrated foot force sensors, the robot has a fine “feel” for the ground, which is essential for stability on unpredictable terrain.

Advanced Computing & Intelligence

What makes the Edu Plus truly unique is its support for powerful external computing modules such as the NVIDIA Jetson Orin. This turns the robot into a driving supercomputer platform capable of performing deep neural networks and complex computer vision tasks in real-time. Together with the 3D LiDAR and wide-angle HD camera, the robot creates a highly detailed image of its surroundings, allowing it to operate fully autonomously in situations where human intervention is impossible or undesirable.

Robust Industrial Design & Thermal Control

In intensive research, reliability is crucial. The Edu Plus is made of a high-performance alloy of aluminium and reinforced polymers, with all cables routed internally through joints to minimise wear and tear. To keep the internal electronics and powerful processors cool during heavy computing, the robot features an advanced heat-pipe cooling system. This modular design allows users to easily mount additional hardware, such as robotic arms or specialised sensors, without disturbing the balance or aerodynamics.
Product Unitree Go2 Edu Plus
EAN DDG_PRO_801050
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
Body movement range -48 ~ 48°
Thigh movement range -200° ~ 90°
Lower leg movement range -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 WiFi 6 with dual-band
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 (40-100 TOPS)
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
Unitree Go2 Edu Plus
1 x Unitree Go2 Edu Plus Robot
1 x Remote control

 

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

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 Plus

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