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Produkta pārskats

Unitree Go 2 Edu Advanced Robotics Platform

Unitree Go 2 Edu is a specialized version of the quadruped robot, designed as an advanced tool for education and research in STEM fields. It combines the proven, dynamic mechanical platform of the Go 2 series with a powerful, open computing environment, making the latest advances in robotics and artificial intelligence more accessible to students and researchers. This platform is designed to inspire and enable the implementation of ambitious projects, from basic control algorithms to advanced autonomous systems.

A gray, four-legged Unitree robot numbered 02 standing in smoke against a black background

Computing Power, Sensors, and Mobility

At the heart of the Go 2 Edu is a high-performance computing unit, typically based on the NVIDIA Jetson Orin platform (e.g., the NX version with an 8-core ARM Cortex-A78AE CPU and an Ampere architecture GPU), supported by a substantial amount of RAM (e.g., 8 GB or 16 GB) and a fast storage drive (e.g., a 128 GB NVMe SSD), running under the Ubuntu operating system. The comprehensive perception system includes, as standard, an ultra-wide-angle, hemispheric 4D LiDAR (360°x90°) and Intel RealSense depth cameras (e.g., D435i), often supplemented with additional HD cameras. Mobility is provided by 12 degrees of freedom (DoF) driven by high-torque motors (up to 45 Nm), which translates to high agility and the ability to carry a payload (typically 3–5 kg in continuous mode). Its compact dimensions (height approx. 40 cm) and relatively low weight (approx. 15 kg) facilitate operation in various environments. Power is supplied by a high-capacity battery (e.g., approx. 8,000 mAh, ~30 V), enabling up to 4 hours of operation.

A person holding the handle of the four-legged Go 2 robot on a gravel path in front of a building

Open Architecture and Development Ecosystem for Science

A key advantage of Go 2 Edu is its open architecture, designed for maximum flexibility for educational and research purposes. Users have extensive access to sensor data (LiDAR, cameras, IMU) and the ability to perform low-level control via comprehensive APIs and SDKs (C++, Python). The platform offers native support for popular robotics frameworks, such as ROS and ROS 2, which facilitates integration with existing tools and algorithms. Communication is provided by Wi-Fi 6, Bluetooth 5.2, an Ethernet port, and optional 4G LTE connectivity. The availability of graphical programming tools alongside standard programming languages, supported by extensive documentation, enables the realization of complex projects—from implementing SLAM and navigation algorithms, through computer vision tasks, to training and deploying machine learning models directly on the robot.

A four-legged gray robot numbered 02 standing on a rock in the water

Kit Contents:

  • Unitree Go2 Pro Robot
  • 15,000 mAh battery
  • Fast charger (300W)
  • Additional foot pads (4 pieces)
  • Leg calibration tool
  • Service stand
  • USB-A / USB-C cable
  • Carrying case
  • Wireless remote control
  • Control unit

 

Design and Mechanics

Dimensions 70 × 31 × 40 cm
Weight approx. 15 kg (with battery)
Load capacity Nominal: approx. 8 kg
Maximum: ~10 kg
Cable routing Internal cable routing in knee joints
Joint cooling Assisted by heat pipes
Joint Ranges of Motion Torso: –48° to +48°
Thigh: –200° to +90°
Lower Leg: –156° to –48°

 

Performance and mobility

Movement speed 0–3.7 m/s
Max. step height approx. 16 cm
Max. terrain incline 40°

 

Sensors and Perception

Ultra-wide-angle 3D LiDAR yes
Object detection yes
Obstacle avoidance yes
Wide-angle HD camera yes
Intel RealSense D435i depth camera yes

 

Power

Battery 15,000 mAh (long-life version)
Operating time 2–4 hours
Charger 33.6 V / 9 A fast charger
Docking station / charging station support yes

 

Connectivity

Wi-Fi 6 (802.11ax, dual-band)
Bluetooth 5.2 / 4.2 / 2.1
4G LTE module with eSIM (built-in) yes

 

Software and Control

Smart OTA updates yes
Mobile app HD video streaming, remote control, full system data overview, graphical programming

 

Operating Modes and Autonomous Functions

Accompanying Mode – autonomous user tracking wireless vector positioning system
Advanced movement and acrobatic modes moon walk (space walk), sideways and crisscross walking, jumping upward and forward, forward roll, sitting, stretching, bowing, “happy,” shaking hands, interactions, a wide range of creative dances

 

Interaction, multimedia, and demonstrations

Microphone + speaker yes
Lighting 3 W LED
System status indicators with real-time feedback yes
Synchronization of music, movement, and lighting for shows and demonstrations yes

 

Voice interaction

Built-in speech recognition module Yes
Real-time voice interaction Yes
Millisecond-level response Yes
High speech recognition accuracy Yes

 

AI extensions and computing power

Docking station 40 TOPS of computing power
AI algorithms + technical support
Expansion Dock 40 TOPS – NVIDIA Orin Nano
AI algorithms + technical support

 

Development and integrations

Foot sensor support yes
Support for further development (secondary development / SDK) yes