Being-0 integrates foundation models with humanoid robotics to create an autonomous agent capable of understanding and interacting with real-world environments.

• Combines high-level cognition from vision-language models with low-level robotic skills in a modular architecture
• Addresses compounding errors and latency issues in long-horizon tasks through a specialized framework
• Enhances robustness and efficiency in complex indoor environments
• Creates a pathway for humanoid robots to achieve human-level performance in real-world tasks

This breakthrough in engineering creates more adaptable and intelligent robotic systems that can understand context, follow instructions, and perform complex physical tasks autonomously.

Original Paper: Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills