Unitree Go1 EDU
Unitree Go1 EDU
Unitree Go1 EDU
Unitree Go1 EDU
Unitree Go1 EDU
Unitree Go1 EDU

Unitree Go1 EDU

This is a special order item — not currently in stock.
Special order items are reserved through our sales team. Submit the form below and a Maverick representative will reach out to confirm availability, lead time, and next steps to secure your unit. A deposit may be required to begin the order. Prefer to talk now? Call us at (612) 808-9838.
Lead time varies by manufacturer. A deposit may apply and will be credited toward your final invoice.

The Unitree Go1 EDU is a high-performance quadruped robot for universities, research labs, and developers. 4.7 m/s top speed, onboard edge AI (Jetson NX), full sensor suite (depth cameras, IMU, ultrasonic, foot force), open SDK with ROS support, and up to 2.5 hours of endurance. Built for SLAM, autonomous navigation, and human–robot interaction research.

Research-Grade Quadruped. Developer-Ready Out of the Box.
The Go1 EDU ships with a fully open SDK, ROS integration, and onboard edge AI computing — giving developers and researchers immediate access to real-time SLAM, object tracking, and autonomous navigation. No external compute required. No proprietary lock-in. Just a capable platform ready to run your code.

4.7 m/s with Dynamic Stability

The Go1 EDU reaches 4.7 m/s with active obstacle avoidance and stable locomotion across indoor and outdoor terrain — fast enough for real-world deployment, agile enough for complex research environments.

  • 4.7 m/s top speed with active obstacle avoidance
  • Stable locomotion on indoor and outdoor terrain
  • ~12 kg compact frame — easy to transport and deploy

Full Sensor Suite for Real-Time Awareness

Multiple depth cameras, ultrasonic sensors, foot force sensors, and an IMU give the Go1 EDU comprehensive environmental awareness and dynamic balance control — the sensor foundation for serious robotics research.

  • Multiple depth cameras for 3D environmental mapping
  • Ultrasonic sensors, foot force sensors, and IMU
  • Real-time dynamic balance control

Intelligent Side-Follow & Human–Robot Interaction

The Go1 EDU's proprietary Intelligent Side-Follow System (ISS) enables natural, marker-free human–robot interaction. Combined with onboard edge AI, it supports advanced HRI research, autonomous following, and real-world behavioral studies without external infrastructure.

  • ISS: body-following without beacons or markers
  • Onboard Jetson NX for real-time AI inference
  • Open SDK + ROS for full research customization
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Research-Grade Quadruped Robot for Universities and Developers

The Unitree Go1 EDU is a high-performance quadruped robot built for universities, research labs, and developers working at the frontier of robotics and AI. Combining a 4.7 m/s top speed, onboard edge AI computing, a full sensor suite, and an open SDK with ROS support, the Go1 EDU is a complete platform for SLAM, autonomous navigation, human–robot interaction, and custom application development.

Key Features

  • Open SDK & ROS Support — Full access to development tools, APIs, and ROS integration for deep customization and research workflows.
  • Edge AI Computing — Onboard Jetson NX enables real-time SLAM, object tracking, and autonomous navigation without external compute.
  • Advanced Sensor Suite — Multiple depth cameras, ultrasonic sensors, foot force sensors, and IMU for real-time environmental awareness and dynamic balance control.
  • Intelligent Side-Follow System (ISS) — Proprietary body-following technology enables natural human–robot interaction without external beacons or markers.
  • High-Speed Dynamic Stability — Reaches 4.7 m/s with active obstacle avoidance and stable locomotion across indoor and outdoor terrain.
  • Compact & Portable — At ~12 kg with a compact frame, the Go1 EDU is easy to transport between lab environments and field deployments.

Specifications

  • Dimensions: 588 × 220 × 290 mm
  • Weight: ~12 kg
  • Top Speed: 4.7 m/s
  • Payload Capacity: ~3–5 kg
  • Battery: 6,000 mAh Li-ion
  • Endurance: 1–2.5 hours
  • Operating System: Linux (Ubuntu) with ROS
  • Interfaces: Wi-Fi, Ethernet, USB, GPIO, CAN

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