Unitree G1-Comp

Football Icon Designed for Competitions

Lightweight and Agile, Dominating the Game

With a steady gait and impressive speed, effortlessly scoring in one-on-one situations

Stable and Resilient, Unperturbed by Distractions

Featuring industry-leading motion control systems, designed to excel in competitive match environments

Agility and superior strength

Based on the Yolo 11 network algorithm, rapid identification of the stadium environment and accurate positioning are achieved

unitree_rl_gym
reinforcement learning framework

  • Efficient Simulation Environment: Integrate simulation tools such as Isaac Gym and Mujoco to provide efficient physical simulation capabilities.
  • Flexible Training Configuration: Users can adjust training parameters through the configuration file, such as the number of environments, random seeds, maximum number of iterations, etc.
  • Complete Training Process: Supports the entire process from simulation training (Sim2Sim) to real robot deployment (Sim2Real).

RoboCup SDK
Development Guide

  • Visual Recognition API: Built-in YOLO11 latest generation real-time target detection algorithm, providing a rich stadium information interface.
  • Spatial Positioning API: Provides an accurate stadium position information interface through monocular geometric positioning and binocular depth positioning.
  • Motion Control API: Provide various motion control interfaces to the decision system based on visual detection results, venue information, competition rules, etc.

Unitree G1-Comp

Unitree G1-Comp

Building the Future Together, Fighting the Race

API

High-level operation control interface, Low-level operation control interface
Status service interface, DDS communication interface
Audio Lighting Service Interface

Simulation Environment

Isaac gym
Mujoco

Multimodal Interaction

UnifoLM Large Model
Support TTS, ASR
Support Yolo Recognition Algorithm

ROS Support

Compatible with ROS Ecosystem

APP Support

Quickly Configure Robots and View Status

Develop Computing Unit

Jetson Orin NX
Provides 100TOPS AI computing power

Dual Encoder

Accurate and stable, no fear of interference

Strong and Durable

The shell is covered with aluminum alloy
and high-strength engineering plastics

Body Size

Weight about 35kg
Height about 130cm

Battery Life

About 2 hours, supports quick
change and fast charging

Robot - Consumer/Education
Robot - Industry
Humanoid Robot
Fitness
Perception
Industrial Applications
Support