Go2 EDU Robot – Advanced Sensors, 4D LiDAR, and AI Computing

Explore the sensor technology and onboard computing power of the Unitree Go2 EDU quadruped robot. Learn how 4D LiDAR, HD cameras, voice features, and NVIDIA Jetson AI modules enable autonomous navigation and smart robotics.

4D LiDAR L1: Omnidirectional Environmental Awareness

One of the standout features of the Unitree Go2 EDU is its rich suite of advanced sensors, which empowers the robot with exceptional perception, obstacle detection, and intelligent navigation. At the core of the perception system is Unitree’s self-developed 4D LiDAR L1, offering a 360° × 90° field of view for full-surround sensing. This spinning LiDAR scanner delivers:

1. Dense environmental point cloud mapping
2. Minimum detection distance of just 5 cm, eliminating blind spots
3. High-resolution obstacle detection for “all-terrain” mobility

The 4D LiDAR data integrates seamlessly with SLAM (Simultaneous Localization and Mapping)tools, allowing users to generate accurate 3D maps and set upautonomous navigation missionsvia theUnitree Go2 app.

HD Wide-Angle Camera for Visual Perception

The Go2 EDU also includes a front-facing HD wide-angle camera with:

• 1280×720 resolution
• 120° field of view (FOV)

This camera enables teleoperation with real-time video, and supportscomputer vision taskssuch asobject detection,person tracking, andenvironmental recognitionusing AI algorithms.

Multi-Modal Sensor Integration

Beyond LiDAR and vision, the Go2 EDU includes:

1. Inertial Measurement Unit (IMU) for precise balance and orientation
2. Microphone and speaker system– supportingvoice commandsandtwo-way audio(intercom mode)
3. Wireless Vector Tracking Module (ISS 2.0)– improvesside-follow tracking accuracy by 50%and enablesreliable human-following at >30 meters range

This combination enables adaptive movement, voice-based interactions, and enhanced user-following functionality in real-world scenarios.

AI Edge Computing: Built for Intelligent Autonomy

What truly sets the Go2 EDU apart is its onboard AI computing capability, enabling edge processing without dependence on external systems.

Standard Configuration:

•  8-core ARM CPU for locomotion and base-level control
• Suitable for basic perception,walking algorithms, andlow-latency control tasks