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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.
This repository contains all the lecture slides, paper reviews, topic presentation, project proposal, and final project report of the Embodied Learning and Vision course by Prof. Mengye Ren in Spring 2025 at NYU.