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Video Language Planning

Visual planning for complex long-term tasks

#multimodal
#robot
#visual planning
Video Language Planning

Product Details

Video Language Planning (VLP) is an algorithm that enables visual planning for complex long-term tasks by training visual language models and text-to-video models. VLP accepts long-term task instructions and current image observations as input, and outputs a detailed multi-modal (video and language) plan describing how to complete the final task. VLP is capable of synthesizing long-term video planning in different robotic domains, from multi-object rearrangement to multi-camera dual-arm dexterity manipulation. The generated video planning can be transformed into real robot actions through target condition strategies. Experiments demonstrate that VLP significantly improves the success rate of long-term tasks compared with previous methods.

Main Features

1
Train visual language models and text-to-video models
2
Generate detailed multimodal plans
3
Synthesize long-term video planning
4
Translated into real robot movements

Target Users

Visual planning for complex long-term tasks

Examples

Stack objects in the center of the table

Put fruit in top drawer

Group blocks by color

Quick Access

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Categories

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› AI development assistant
› AI model

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