Humanoid-VLA is a novel framework that enables humanoid robots to understand natural language commands, perceive their environment, and execute complex motions autonomously.

• Combines language understanding with egocentric vision and motion control
• Pre-aligns language and motion using human motion datasets with textual descriptions
• Processes visual information to understand the environment and adapt movements
• Demonstrates improved performance across various complex tasks compared to existing approaches

This research represents a significant engineering advancement by creating more autonomous, adaptable humanoid robots that can interpret commands and interact with environments without predefined scripting.

Humanoid-VLA: Towards Universal Humanoid Control with Visual Integration