Code as Policies

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Overview

A framework utilizing language model-generated programs to enable robots to perform complex tasks through code-based policies.

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Code as Policies is a framework that leverages large language models (LLMs) to generate programs acting as policies for robotic control. By interpreting natural language commands, these models produce code that directs robots to execute complex tasks, integrating perception and control. This approach allows for the creation of both reactive and waypoint-based policies, facilitating advanced robotic behaviors across various platforms. The framework emphasizes the use of hierarchical code generation to manage intricate tasks, enhancing the adaptability and functionality of robotic systems.

Some of the use cases of Code as Policies:

Developing robotic systems capable of executing complex, multi-step tasks based on natural language instructions.
Enhancing robot adaptability by utilizing code-generated policies for diverse applications.
Advancing research in AI-driven robotics through the integration of language models and program synthesis.
Implementing flexible and interpretable control mechanisms in robotic platforms.

Tags:

robotic control language models program synthesis AI robotics policy generation

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