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ROS-LLM
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ROS-LLM

ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot control. With an easy configuration process, this framework allows f

by Auromix · GitHub
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embodied-intelligencegptllmApache-2.0Python
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In plain words

Control robots and enable them to understand natural language using large language models.

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810809
2026-07-202026-08-31
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📄 About

ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot control. With an easy configuration process, this framework allows f

ROS-LLM has 809 stars on GitHub. It has been forked 98 times. ROS-LLM is written mainly in Python. It has been in active development since 2023. ROS-LLM is available under the Apache-2.0 license. Its main topics are embodied-intelligence, gpt, llm, ros.

Frequently asked questions

What is ROS-LLM?

ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot control. With an easy configuration process, this framework allows f

Is ROS-LLM open source?

ROS-LLM is an open-source project. It is released under the Apache-2.0 license.

Is ROS-LLM free?

Yes. ROS-LLM is free and open source — you can use, modify and self-host it.

What license does ROS-LLM use?

ROS-LLM is available under the Apache-2.0 license.

What language is ROS-LLM written in?

ROS-LLM is written mainly in Python.

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