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forked from Auromix/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 for swift integration, enabling your robot to operate with it in as little as ten minutes.

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ROS-LLM

The ROS-LLM is a versatile interface designed for ROS, providing features such as natural language processing, visual interaction, and advanced motion control. By incorporating LLM-based technologies like GPT into the ROS ecosystem, this interface supports both ROS1 and ROS2. As a result, it can be seamlessly integrated with any ROS robot.

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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 for swift integration, enabling your robot to operate with it in as little as ten minutes.

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  • Python 86.9%
  • Shell 9.6%
  • Dockerfile 2.3%
  • CMake 1.2%