Vision-Language-Action (VLA) Systems on the Unitree G1
Learn to build and deploy real Vision-Language-Action systems on a humanoid robot. This course takes you from safe G1 setup and visual navigation to dexterous manipulation, predictive world modeling, and full autonomous execution using UniFoLM and GR00T pipelines. By the end, you’ll run complete VLA workflows on a real-world humanoid platform.
Start LearningThis course includes
- Visual navigation + perception-based control
- Dexterous manipulation with UniFoLM-VLA
- World-model reasoning with UniFoLM-WMA
- VR teleoperation + real data collection workflows
- GR00T fine-tuning + full VLA deployment
About this course
This course teaches you how to design, train, and deploy Vision-Language-Action (VLA) systems on the Unitree G1 humanoid robot. You’ll begin with safe robot setup and perception-driven navigation, then progress into real manipulation using UniFoLM-VLA, predictive reasoning with world models, and full autonomy pipelines.
Through a hands-on workflow, you’ll collect real teleoperation data, build datasets, and fine-tune GR00T policies for whole-body control. By the end, you’ll be running complete VLA systems that connect vision, language, and action into real-world humanoid behaviors.
Skills you'll gain
- Operate and safely initialize the Unitree G1 for real-world experiments
- Implement vision-based navigation and obstacle-aware movement
- Use UniFoLM-VLA for dexterous manipulation tasks (pick, place, sequence)
- Apply world-model reasoning for anticipatory and predictive actions
- Design and execute teleoperation workflows for data collection
- Structure and prepare demonstration datasets for training humanoid policies
- Fine-tune GR00T models for whole-body control on real hardware
- Deploy end-to-end Vision-Language-Action pipelines on a humanoid robot
- Understand the full embodied AI stack from perception → reasoning → control
- Bridge research-level AI models into real-world robotic execution
