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

ROCKET-1 Visit Over Time

Monthly Visits

231

Bounce Rate

47.66%

Page per Visit

1.4

Visit Duration

00:00:50

ROCKET-1 Visit Trend

ROCKET-1 Visit Geography

ROCKET-1 Traffic Sources

ROCKET-1 Alternatives

PromptFix — A framework for repairing and editing photos based on human instructions.

Image•Image Processing•Diffusion Models

MaskGCT — Zero-shot text-to-speech conversion model that does not require alignment information.

Others•Text-to-speech•Zero-shot learning

126

Prompt Engineering — A comprehensive resource library for Prompt Engineering techniques.

Productivity•Prompt Engineering•Machine Learning

Whisper large-v3-turbo — Efficient automatic speech recognition model

Productivity•Automatic speech recognition•Speech translation

348

Minecraft Circle Generator — Easily create perfect circles and ellipses in Minecraft.

Design•Minecraft•Building

Omni-Zero-Couples — Zero-shot stylized couple portrait creation

Image•Deep Learning•Image Generation

192

Seed-Music — A music generation system that supports multilingual vocal generation and music editing.

Music•Music Generation•Vocal Synthesis

282

seed-vc — Zero-shot voice conversion technology that achieves high-fidelity transformation of quality and tone.

Programming•Voice Conversion•Zero-shot Learning

258

SA-V Dataset — Video dataset for training general object segmentation models.

Image•Computer Vision•Object Segmentation

366

MimicBrush — Zero-shot image editing, mimic the style of reference images with one click

Image•Image Editing•Zero-Shot Learning

6654

Slicedit — Text-based video editing technology using spatiotemporal slicing.

Video•Video Editing•Text-to-Image

222

SAM — Intelligent Video Object Segmentation Technology

Image•Video Analysis•Object Segmentation

222

NaturalSpeech 3 — NaturalSpeech 3 is a zero-shot speech synthesis system that utilizes a decompositional encoder-decoder and diffusion model to generate natural-sounding speech.

Music•Artificial Intelligence•Speech Synthesis

1836

OpenVoice — An open-source real-time voice cloning technology

Others•Voice Synthesis•Voice Cloning

42096

Cola — Large language models are visual reasoning coordinators.

Productivity•Language Model•Visual Reasoning

228

Haddock — Free access to AI-generated code from GPT-4, Copilot, and other tools, providing a code generation tool for game engines.

Productivity•Game Engine•Code Generation

300

Computer Vision with DirectAI — Establish powerful computer vision models without code or training data

Productivity•Artificial Intelligence•Computer Vision

Best AI Websites & Tools