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Exploring the Use of LLMs for Teaching AI and Robotics Concepts at a Master's Degree

EasyChair Preprint no. 13074

10 pagesDate: April 24, 2024


This article explores the use of large language models (LLM) as transformative tools for teaching Artificial Intelligence (AI) and Robotics concepts at the master's level. LLMs, exemplified by models like ChatGPT, present a unique opportunity to revolutionize the pedagogical landscape by offering advanced capabilities in any service robot. The study investigates the integration of LLMs in the instructional framework, using a tool called llama_ros as a tool capable of replacing different classic cognitive functions in a transversal project across different subjects of an official master's degree. The research presents as an example the creation of a chatbot on an open hardware platform called Mini Pupper. The reader will easily find how to emphasize the potential of LLMs to shape their inclusion in bachelor's or master's programs.

Keyphrases: llama_ros, LLM, Robotics, ROS 2

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Miguel Angel Gonzalez-Santamarta and Francisco J Rodríguez Lera and Miguel Ángel Conde and Francisco Rodríguez-Sedano and Camino Fernández},
  title = {Exploring the Use of LLMs for Teaching AI and Robotics Concepts at a Master's Degree},
  howpublished = {EasyChair Preprint no. 13074},

  year = {EasyChair, 2024}}
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