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This is the official technical documentation for Global Humanoid Robot Challenge 2026. It describes a humanoid robot simulation platform built on the LeRobot framework and provides a complete workflow from physics simulation, data collection, and model training to deployment.

1. Project Overview

This documentation is intended for Global Humanoid Robot Challenge 2026 (GHRC 2026) participants and R&D teams. It provides a unified baseline implementation:

  • Build a high-fidelity robot simulation environment based on NVIDIA Isaac Sim
  • Record data through keyboard teleoperation and export it in the standardized LeRobotDataset V3.0 format
  • Train and fine-tune models based on imitation learning algorithms, such as ACT and Pi0
  • Quickly reproduce results and run comparative experiments with the official pretrained weights

2. Core Capabilities

CapabilityDescription
Simulation EnvironmentHigh-fidelity Walker S2 robot simulation based on NVIDIA Isaac Sim, supporting a 20-dimensional state space: 14 arm joints, 4 gripper joints, and 2 gripper control commands
Data CollectionSupports keyboard teleoperation and exports data in LeRobotDataset V3.0 format
Model TrainingSupports imitation learning algorithms such as ACT and Pi0
Four-Camera Real-Time DisplaySupports real-time preview from 4 RGB cameras: head_left, head_right, wrist_left, and wrist_right

3. Resource Description

Some large files in this project are hosted on Hugging Face. Before first use, please complete the downloads first:

Resource TypeLocal DirectoryRemote URL
Simulation environment and robot assetsassets/ (Git submodule)UBTECH-Robotics/challenge2026_assets
Training datasetdatasets/UBTECH-Robotics/challenge2026_dataset

3.1 Configuration Information

Minimum RequirementsRecommended ConfigurationIdeal Configuration
Operating SystemUbuntu 22.04 / 24.04; Windows 10 / 11Ubuntu 22.04 / 24.04; Windows 10 / 11Ubuntu 22.04 / 24.04; Windows 10 / 11
CPUIntel Core i7 (7th Generation); AMD Ryzen 5Intel Core i7 (9th Generation); AMD Ryzen 7Intel Core i9, X-series or higher; AMD Ryzen 9, Threadripper or higher
Core Count4816
RAM32GB64GB64GB
Storage50GB SSD500GB SSD1TB NVMe SSD
GPUGeForce RTX 4080GeForce RTX 5080RTX PRO 6000 Blackwell
VRAM16GB16GB48GB
DriverLinux: 580.65.06; Windows: 580.88Linux: 580.65.06; Windows: 580.88Linux: 580.65.06; Windows: 580.88

A larger amount of RAM and VRAM is recommended, especially when model training is required. In addition, if driver version 595 is installed, Isaac Sim may crash later when running inside the Docker container. Therefore, driver version 580 is recommended.

3.2 Tool Requirements

ToolVersionNotes
CUDA12.8Official Guide
DockerlatestOfficial Guide
NVIDIA Container ToolkitlatestOfficial Guide
Hugging Facelatestpip install huggingface-hub; huggingface-cli --help # Verify installation
Gitlatestsudo apt update; sudo apt install git -y; git --version # Verify version
MinicondalatestOfficial Guide (optional)