Unitree R1 Edu Pro C (U5)

The Unitree R1 Edu Pro C (U5) is a high-performance, developer-focused humanoid robot designed for advanced research, AI development, and academic exploration. As of 2026, it represents the “Pro” tier of the R1 series, bridging the gap between consumer-grade robotics and high-end industrial platforms.

Below is a detailed breakdown of the product’s specifications and features.

21.750,00  excl. VAT (21.750,00  incl. VAT)

Available on backorder

Unitree R1 Edu Pro C (U5) Overview

The U5 (Pro C) model is specifically engineered for precision manipulation and high-intensity AI processing. Unlike the “Basic” or “Air” models, the U5 includes advanced dexterous hands and a high-performance computing unit, making it a “living lab” for embodied AI.

 

Key Technical Specifications

Feature Specification
Height / Weight 121–123 cm
Total Degrees of Freedom 38 DOF (includes 26-body DOF + dexterous hands)
Onboard Computing NVIDIA Jetson Orin (Up to 100 TOPS)
Manipulation 2x Dexterous Hands (6-7 DOF per hand)
Payload Capacity Approx. 2 kg per arm
Sensing Binocular Depth Camera + 4-Mic Array + Dual Encoders
Connectivity WiFi 6, Bluetooth 5.2, USB 3.0 (Type-C)
Battery Life ~1 hour (Quick-release / Hot-swappable)

 

 

Core Features

  • Dexterous Manipulation: The “Pro C” configuration is distinguished by its high-precision hands, capable of simulating human-like movements for tasks such as object sorting, tool usage, and gesture-based interaction.

  • Embodied AI & LLM Integration: The robot runs Unitree’s UnifoLM (Unified Robot Large Model), allowing it to understand voice commands and visual scenes natively. It can recognize faces, gestures, and complex natural language instructions.

  • High-Performance “Brain”: Equipped with the NVIDIA Jetson Orin module, the U5 provides the 100 TOPS of AI performance necessary for real-time reinforcement learning, SLAM (Simultaneous Localization and Mapping), and complex obstacle avoidance.

  • Developer-First Ecosystem:

    • Full SDK Support: Access to low-level and high-level control via C++ and Python.

    • Simulation Ready: Fully compatible with NVIDIA Isaac Sim and ROS 2.

    • Expansion Ready: Includes a computational expansion base and internal wiring (hollow shaft design) for adding custom sensors or hardware.

       

Ideal Use Cases

  1. University Research: Ideal for labs focusing on bipedal locomotion, human-robot interaction (HRI), and tactile feedback.

  2. AI Prototyping: Developing localized AI models that require physical interaction without cloud latency.

  3. Service & Hospitality: Testing autonomous assistance in structured indoor environments like museums or offices.


Note on Availability: As of March 2026, the R1 series has begun phased shipping. The EDU versions generally require a direct quote or purchase through authorized research distributors due to the specialized SDK and hardware upgrades.

Weight 25 kg

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