Unitree G1 EDU Standard (U1)

Key Features & Capabilities

• Open Development Platform: Unlike the base consumer G1, the EDU U1 provides full SDK access, supporting ROS 2, Python, and C++. This allows researchers to program custom locomotion, perception, and interaction algorithms.

• High-Performance AI Brain: It is powered by an NVIDIA Jetson Orin module (16GB), delivering 100 TOPS of AI computing power for real-time computer vision and reinforcement learning.

• Superior Mobility: The U1 features 23 Degrees of Freedom (DOF). While it lacks the dexterous hands of higher EDU tiers (U2/U3), it utilizes high-torque “joint motors” with a maximum knee torque of 120 N·m, allowing for agile, human-like movement and a top speed of 2 m/s.

• Advanced Perception: It is equipped with a 360° LiDAR (Livox MID-360) and an Intel RealSense D435i depth camera, giving it full spatial awareness and obstacle avoidance capabilities.

   

Technical Specifications (U1 Model)

Why Choose the EDU U1?

The U1 is the most cost-effective way to get a programmable Unitree humanoid. Because the hardware (motors and wiring) differs between the Basic and EDU models, you cannot simply “software-upgrade” a Basic model later. The U1 is the minimum viable choice for labs focusing on:

• Bipedal Locomotion: Testing balance and gait algorithms.

• Navigation & SLAM: Using the LiDAR and depth camera for autonomous mapping.

• HRI (Human-Robot Interaction): Utilizing the 4-microphone array and 5W speaker for voice-based AI projects.

Note: The U1 comes with “Dummy Hands.” If your research requires object grasping or tactile feedback, you would need to look at the EDU U2 or U3 versions, which add active dexterous hands and extra wrist/waist joints.