Unitree Robotics
Unitree G1 Edu Ultimate F (U8) Humanoid Robot with Brainco Rev2 Touch
Unitree G1 Edu Ultimate F (U8) Humanoid Robot with Brainco Rev2 Touch
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The Unitree G1 EDU U8 combines the G1 EDU platform（29DOF) with BrainCo Revo2 Touch five-finger dexterous hands. Built for universities, robotics labs, and embodied AI teams, this configuration provides a platform for exploring whole-body coordination, tactile grasping, and human-like manipulation.
BrainCo Revo2 Touch: Dexterity with a Sense of Touch
Multi-dimensional fingertip sensing provides contact feedback for developing touch-guided grasping and adaptive manipulation. Researchers can use this feedback to study how a robot responds when an object makes contact or shifts within its grasp.
- Articulated five-finger design: 11 degrees of freedom with 6 active joints per hand.
- Grasping performance: Full-hand grip force ≥50 N and pinch force ≥15 N.
- Fast, repeatable motion: Finger flexion/extension time ≤0.65 seconds and repeat control precision of 0.1°.
- Compact construction: Approximately 383 g per hand, excluding the wrist.
- Feedback control: Position, velocity, and current feedback, with compliance control and tactile adaptive control.
A Platform for Robotics Development
The G1 EDU platform supports secondary development and includes a depth camera and 3D LiDAR. Combined with tactile dexterous hands, it offers a foundation for developing coordinated perception, movement, and manipulation workflows.
Revo2 Touch supports RS485, CAN FD, and EtherCAT, with Python and C/C++ development resources and support for Linux, Windows, and ROS workflows.
Research Applications
- Tactile grasping and object manipulation
- Bimanual coordination and whole-body manipulation
- Teleoperation and demonstration data collection
- Imitation learning and reinforcement learning experiments
Research applications require suitable software development and integration. Hand specifications are per hand; allowable object loads depend on the G1 arm configuration and posture.
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A Platform for Robot Learning
With agile whole-body control, dexterous manipulation, and an open development ecosystem, the Unitree G1 is built for world models, VLA policies, imitation learning, and embodied AI research.
Purpose-Built for Education & Research
With the optional NVIDIA Jetson Orin module delivering up to 100 TOPS of computing power, the G1 EDU is ready for advanced AI projects, from machine vision to reinforcement learning.
- Open-source friendly: supports ROS, Python, C++, and popular simulation tools like Isaac Gym.
- Full developer access with SDKs, APIs, and documentation—perfect for classrooms, research labs, and robotics competitions.
Exceptional Mobility & Dexterity
Engineered for human-like agility and tactile manipulation, the G1 EDU U8 combines a 29-DOF robot body with BrainCo Revo2 Touch five-finger dexterous hands.
- 29 body degrees of freedom: 7 per arm, 6 per leg, and 3 at the waist support coordinated whole-body movement.
- 11 degrees of freedom per hand, including 6 active joints: Revo2 Touch enables versatile grasping and precise finger control.
- Multi-dimensional fingertip tactile sensing provides contact feedback for adaptive grasping and manipulation research.
- 120 N·m maximum knee torque and an arm payload of approximately 3 kg, depending on posture, combine strength with flexible movement.
Advanced Vision & Perception
The G1 EDU sees and understands its surroundings with professional-grade sensors:
- LIVOX MID360 3D LiDAR: 360° horizontal and up to 59° vertical FoV for high-resolution point cloud mapping.
- Intel RealSense D435i depth camera: delivers precise 3D vision for spatial awareness, object detection, and navigation.
BrainCo Revo2 Touch
Bring a sense of touch to humanoid manipulation with BrainCo Revo2 Touch. Each five-finger hand features 11 DOF, including 6 active joints, with multi-dimensional fingertip tactile sensing.
- ≥50 N grip force and ≥15 N pinch force
- ≤0.65 s response time with 0.1° repeatability
- Supports Python, C/C++, ROS, RS485, CAN FD, and EtherCAT
Built for tactile manipulation, teleoperation, and embodied AI research.
Compact, Agile, and Dynamic
Standing 127 cm tall and weighing just 35 kg, the G1 EDU is light enough for easy deployment and agile enough for fast, dynamic movement.
- Runs over 2 m/s.
- Capable of advanced tricks like side flips, quick stand-ups, and pole routines.
Always Evolving with AI
Powered by UnifoLM, Unitree’s unified large AI model, the G1 EDU learns new skills daily through imitation and reinforcement learning.
- OTA software updates keep the robot’s capabilities growing—improving gaits, expanding the motion library, and enhancing AI intelligence over time.