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Unitree Go2 EDU – Quadruped Robot for Research, Education, and AI Development
The Unitree Go2 EDU is an advanced quadruped robotics platform designed for universities, research laboratories, developers, and educational institutions. With an open development architecture and expandable computing options, Go2 EDU supports research in embodied AI, autonomous navigation, SLAM, computer vision, reinforcement learning, and intelligent robot control.
Researchers can deploy their own robotics models and algorithms on an optional NVIDIA Jetson computing module while integrating real-time perception data with the robot’s motion-control capabilities.
Key Features
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RGB-D Vision: Available with an Intel RealSense D435i depth camera for visual perception, depth sensing, mapping, and obstacle-detection applications.
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NVIDIA Jetson Computing: Choose an expansion dock equipped with an NVIDIA Jetson Orin Nano delivering up to 40 TOPS or an NVIDIA Jetson Orin NX delivering up to 100 TOPS of AI computing performance.
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Custom AI Deployment: Run custom robotics models, perception pipelines, SLAM applications, and autonomous-navigation algorithms directly on the onboard computing module.
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Research-Ready Platform: Suitable for legged-locomotion research, reinforcement learning, embodied AI, human–robot interaction, and multi-sensor integration.
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Open Development Capability: Access SDK resources and low-level development interfaces for custom control, algorithm development, and system integration.
Camera, computing module, and expansion-dock specifications depend on the configuration selected at checkout.
