Moving beyond the limitations of 2D inputs, 3D-VLA introduces a foundation model that integrates 3D perception, reasoning, and action through a generative world model framework. It leverages a 3D-based LLM and interaction tokens to interact with an embodied environment for better multimodal generation and planning capabilities.

• 3D-VLA’s design draws inspiration from human cognitive abilities to imagine and plan future actions.
• It utilizes embodied diffusion models aligned with the LLM for predicting goal images and point clouds.
• A new large-scale 3D embodied instruction dataset has been curated for training purposes.
• 3D-VLA outperforms existing models on held-in datasets, with significant enhancements in reasoning and planning.

3D-VLA’s potential extends to applications in the real world, where understanding and navigating 3D spaces is crucial. The development of such embodied models hints at exciting possibilities for AI’s interaction with the physical environment. Explore the research here and view the model’s capabilities.