GO2 EDU-U2

Unitree Go2 EDU Plus (GO2EDU-U2) has the following technical specifications:

• Computing power: NVIDIA Jetson Orin NX module (16 GB RAM, up to 100 TOPS) for local processing of heavy neural networks and machine vision.
• Weight and payload: Net weight is about 15 kg, payload from 8 to 12 kg.
• Speed and cross-country ability: Acceleration up to 5 m/s, confidently overcoming difficult terrain with slopes up to 40 degrees.
• Sensors: Built-in ultra-wide-angle 4D lidar from Unitree and a front-facing depth camera Intel RealSense D435i.
• Autonomy: A reinforced 15,000 mAh battery provides 2 to 4 hours of continuous work.
• Interfaces and expansion: Special docking station (USB 3.0, Gigabit Ethernet, industrial M8 connector, dedicated 16-60V power supply) for integrating third-party modules.

This model is ideal for working with complex AI algorithms in real time and integrating additional equipment, such as robotic arms.