The 1st Real-world Embodied AI Learning Challenge
Welcome to the official competition manual for the 1st Real-world Embodied AI Learning Challenge! This manual covers all the details about the datasets, baseline codes as well as the simulator used in this competition. As for the official competition rules, important dates and other general info, please consult our official competition website .
The competition repositories consist of two parts: The baseline code (kuavo_data_challenge repository) and the simulator (kuavo-ros-opensource repository). Their features are as follows:
Simulator is based on MuJoCo, with built-in realistic robotic models, restoring real-physics simulation
Supports Rosbag to Lerobot parquet data conversion
Imitation Learning (IL) model training framework (DP, ACT)
Simulator deployment interface as well as automatic high-precision model grading system
Real-device verification and its deployment
Getting Started
- Competition Registration
The signup process for this competition
- Datasets
Detailed description of the datasets
- Installation & Training
Baseline code installation and usage
- Submission
Details on how to submit your models
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This manual is being updated in a regular basis…
Open-sourcing Agreement
This competition is open sourced under the MIT License .