Robótica, OpenAI, ChatGPT, STEAM: Aplicación

Jorge Gudiño Lau; Mike Kevin Andrade-Gudiño; Miguel Durán-Fonseca; Saida Charre-Ibarra; Janeth Alcalá-Rodríguez; Sergio  Loeza-Alfaro

doi:10.29057/xikua.v13i25.7949

Authors

Jorge Gudiño Lau Universidad de Colima https://orcid.org/0009-0002-5607-6373
Mike Kevin Andrade-Gudiño https://orcid.org/0000-0003-4257-5788
Miguel Durán-Fonseca Facultad de Ingeniería Electromecánica de la Universidad de Colima https://orcid.org/0000-0002-0780-6192
Saida Charre-Ibarra Facultad de Ingeniería Electromecánica de la Universidad de Colima https://orcid.org/0000-0002-3823-5388
Janeth Alcalá-Rodríguez Facultad de Ingeniería Electromecánica de la Universidad de Colima https://orcid.org/0000-0002-0238-3952
Sergio Loeza-Alfaro Facultad de Ingeniería Electromecánica de la Universidad de Colima https://orcid.org/0009-0001-2418-0777

DOI:

https://doi.org/10.29057/xikua.v13i25.7949

Keywords:

OpenAI, chatGPT, robotic, STEAM

Abstract

The article presents an experimental study on the use of OpenAI's ChatGPT in robotics applications, with educational purposes in the STEAM fields (Science, Technology, Engineering, Arts, and Mathematics). The main objective is to create an interactive laboratory environment where students can explore and start their journey into the world of robotics, artificial intelligence, programming, and the interaction of ChatGPT with a robotic manipulator within the STEAM framework. This research shows that ChatGPT has the capability to solve equations or mathematical questions, and these answers are interpreted by Python as integers and sent to the Jetson NANO platform, which controls six servomotors of the robotic manipulator. Students write detailed mathematical questions to obtain a real integer as a result; using OpenAI and Python, they interpret the result, while a compact Jetson Nano computer receives the information to move the Yahboom DOFBOT robot. The movement degrees are determined by the response, and the articulation is defined by the user. This platform allows students, teachers, and researchers to delve into the world of artificial intelligence through OpenAI, robotics, and programming.

Downloads

Download data is not yet available.

Publication Facts

This article

Author statements

Data availability

N/A

16%

External funding

No

32%

Competing interests

N/A

11%

This journal

Other journals

Articles accepted

42%

33%

Days to publication

79

145

Indexed in

GS

Editor & editorial board: profiles
Academic society: N/A
Publisher: Universidad Autónoma del Estado de Hidalgo

References

Anis Koubaa.2023. “ROSGPT: Next-Generation Human-Robot Interaction with ChatGPT and ROS.” Preprints.

Fu, Kelin, Yang Tian, and Kaigui Bian. 2024. “PeriGuru: A Peripheral Robotic Mobile App Operation Assistant Based on GUI Image Understanding and Prompting with LLM.”

Gudiño-Lau, Jorge, Miguel Durán-Fonseca, Saida Charre-Ibarra, and Julia Arana-LLanes. 2023. Diseño y Control de Sistemas Mecatrónicos. ECORFAN. México.

Haque, Md. Asraful. 2023. “A Brief Analysis of ‘ChatGPT’ –A Revolutionary Tool Designed by OpenAI.” EAI Endorsed Transactions on AI and Robotics1(1). doi: 10.4108/airo.v1i1.2983.

OpenAI. 2024. ChatGPT (versiónoctubre) [Large language model]. https://openai.com/

Nvidia. 2024. Nvidia(versiónoctubre) https://www.nvidia.com/es-la/

Yahboom. 2024. Yahboom(versiónoctubre) https://yahboom.com/

Jin, Yixiang, DingzheLi, Yong A, Jun Shi, Peng Hao, Fuchun Sun, Jianwei Zhang, and Bin Fang. 2023. “RobotGPT: Robot Manipulation Learning from ChatGPT.”

Peters, Michael A., Liz Jackson, Marianna Papastephanou, Petar Jandrić, George Lazaroiu, Colin W. Evers, Bill Cope, Mary Kalantzis, Daniel Araya, Marek Tesar, Carl Mika, Lei Chen, Chengbing Wang, Sean Sturm, Sharon Rider, and Steve Fuller. 2024. “AI and the Future of Humanity: ChatGPT-4, Philosophy and Education –Critical Responses.” Educational Philosophy and Theory56(9):828–62. doi: 10.1080/00131857.2023.2213437.

Vemprala, Sai H., Rogerio Bonatti, Arthur Bucker, and Ashish Kapoor. 2024. “ChatGPT for Robotics: Design Principles and Model Abilities.” IEEE Access12:55682–96. doi: 10.1109/ACCESS.2024.3387941.

Xu, Yongjun, Xin Liu, Xin Cao, Changping Huang, Enke Liu, Sen Qian, Xingchen Liu, Yanjun Wu, Fengliang Dong, Cheng-Wei Qiu, Junjun Qiu, Keqin Hua, Wentao Su, Jian Wu, Huiyu Xu, Yong Han, Chenguang Fu, Zhigang Yin, Miao Liu, Ronald Roepman, Sabine Dietmann,Marko Virta, Fredrick Kengara, Ze Zhang, Lifu Zhang, Taolan Zhao, Ji Dai, Jialiang Yang, Liang Lan, Ming Luo, Zhaofeng Liu, Tao An, Bin Zhang, Xiao He, Shan Cong, Xiaohong Liu, Wei Zhang, James P. Lewis, James M. Tiedje, Qi Wang, Zhulin An, Fei Wang, LiboZhang, Tao Huang, Chuan Lu, Zhipeng Cai, Fang Wang, and Jiabao Zhang. 2021. “Artificial Intelligence: A Powerful Paradigm for Scientific Research.” The Innovation2(4):100179. doi: 10.1016/j.xinn.2021.100179.