ROCKET-1

Master the visual-temporal context prompting model for open-world interactions.

CommonProductProgrammingVisual-Language ModelEmbodied Decision-Making

ROCKET-1 is a Visual-Language Model (VLM) specifically designed for embodied decision-making in open-world environments. This model connects VLMs with policy models through a visual-temporal context prompting protocol, guiding policy-environment interactions using object segmentation from past and current observations. By this means, ROCKET-1 unlocks the visual-language reasoning capabilities of VLMs, enabling it to solve complex creative tasks, especially in spatial understanding. Experiments with ROCKET-1 in Minecraft demonstrate that this approach allows agents to accomplish previously unattainable tasks, highlighting the effectiveness of visual-temporal context prompting in embodied decision-making.

? Visual-Temporal Context Prompting: Guides policy-environment interactions using object segmentation from past and current observations.
? Causal Transformer: Processes interaction types
observations
and object segmentation to predict actions.
? Real-time Object Tracking: Provided by SAM-2
enhances the model's interaction capabilities.
? Integration with Advanced Reasoners: The GPT-4o model and Molmo model work in conjunction to break down complex tasks into steps.
? Zero-Shot Generalization Capability Assessment: Minecraft interaction benchmarks are designed to evaluate the model's generalization abilities.
? Diverse Task Solving: Completes a variety of complex and creative tasks in Minecraft.
? Interaction Type Diversity: Supports six types of interactions in Minecraft

\The target audience includes AI researchers
game developers
and developers of multimodal learning models. ROCKET-1 is well-suited for these individuals as it offers an advanced framework for researching and developing agents capable of making embodied decisions in complex environments
particularly in scenarios requiring spatial understanding and creative problem-solving skills.\

In Minecraft
the agent successfully placed an oak door in a specific location using ROCKET-1.
The agent hunted a cow without touching a sheep by utilizing ROCKET-1.
The agent mined emeralds and coal in Minecraft with ROCKET-1.

1. Visit the ROCKET-1 GitHub page to access the code and documentation.
2. Read and understand how ROCKET-1 works and the visual-temporal context prompting protocol.
3. Set up the development environment and install necessary dependencies following the documentation guidelines.
4. Run the ROCKET-1 model and conduct tests in a Minecraft environment.
5. Interact with ROCKET-1 using the Gradio platform to experience its decision-making abilities.

Visit

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