Unitree R1 EDU Standard (U1)

The Unitree R1 EDU Standard (U1) is a high-performance, general-purpose humanoid robot designed to bridge the gap between advanced robotics research and real-world application. As part of Unitree’s “Universal Humanoid” evolution, the R1 (also known as the G1 in its consumer-facing iteration) is built for agility, intelligence, and durability.

The “EDU” designation means this version is specifically unlocked and optimized for secondary development, making it the gold standard for universities, AI labs, and tech innovators.

11.599,00  excl. VAT and shipping costs

Available on backorder

Core Specifications & Performance

Feature Specification
Height / Weight ~127 cm (4.1 ft) / ~35 kg
Degrees of Freedom 23 (Standard) to 43 (with optional hands)
Joint Torque Up to 120 N·m (Knee)
Battery Life ~2 hours (quick-release design)
Connectivity Wi-Fi 6, Bluetooth 5.2, Gigabit Ethernet

Key Features

  • Human-Like Agility: Powered by Unitree’s proprietary high-torque motors, the R1 can perform complex tasks such as jumping, walking over uneven terrain, and even self-righting if it falls.

  • Advanced Perception: It features a 3D LiDAR (360° sensing) and a Depth Camera, allowing for real-time SLAM (Simultaneous Localization and Mapping) and sophisticated obstacle avoidance.

  • Foldable & Portable: Unlike most bulky humanoids, the R1 features an innovative folding design, allowing it to be compressed into a compact form for easy transport in a standard vehicle.

  • The “EDU” Advantage: This version provides full access to the Unitree Robot SDK. It supports ROS 2, C++, and Python, allowing researchers to program custom gaits, AI behaviors, and autonomous navigation.

     

Intelligence and Compute

The R1 EDU is a powerhouse for AI development. It is equipped with a high-performance onboard compute module (typically powered by NVIDIA Orin) to handle real-time reinforcement learning and computer vision tasks.

Developer Note: The R1 EDU is particularly effective for training Foundation Models for robotics, as it provides high-fidelity feedback from its sensors and motor encoders.

 

Use Cases

  • Academic Research: Perfect for studying bipedal locomotion and human-robot interaction.

  • AI Training: An ideal physical agent for testing Large Language Models (LLMs) and Vision-Language-Action (VLA) models.

  • Exhibition & Branding: Its sleek, futuristic aesthetic makes it a centerpiece for tech showcases and high-end demonstrations.

Weight 25 kg

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