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Unitree Go2 Embodied AI

Unitree Go2 Embodied AI

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The Unitree Go2 is an intelligent, bionic quadruped robot designed by Unitree Robotics for consumer, research, and industrial applications.

For greater programmability and enhanced computing performance, a model with an integrated NVIDIA Jetson Orin module is also available. 

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Please contact the MMT AI Group for pricing and availability.

 

Unitree Go2, Embodied AI Key Features

  • Embodied AI platform, combining AI, robotics, perception and autonomous movement to help the Go2 understand and interact with its environment.
  • Advanced AI Mode, with AI-trained gaits and behaviours including obstacle climbing, adaptive roll-over and dynamic movement.
  • 4D LiDAR perception, providing wide-area environmental sensing, obstacle detection and improved navigation across complex terrain.
  • 3D LiDAR mapping, enabling point-cloud mapping and programmable autonomous navigation within mapped environments.
  • Intelligent Side-follow System (ISS 2.0), enabling the Go2 to intelligently follow a person while navigating obstacles.
  • High-performance locomotion, with a peak joint torque of approximately 45 Nm and laboratory-tested speeds of up to approximately 5 m/s, depending on configuration.
  • High-performance computing options, including optional computing modules such as NVIDIA Jetson Orin configurations from 40 to 100 TOPS.
  • Vision and sensing, with an HD wide-angle camera and optional depth camera and additional navigation sensors.
  • Secondary development support, providing a platform for robotics, AI, computer vision and autonomous system development.
  • Graphical programming, making the platform accessible for education, experimentation and robotics development.
  • Wireless connectivity, including Wi-Fi 6, Bluetooth and optional 4G connectivity with GPS.
  • OTA software updates, allowing ongoing improvements to the robot's software and capabilities.
  • Extended battery options, with standard 8,000 mAh and optional 15,000 mAh long-endurance batteries.

 

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