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|Title:||Stirring up the learning to program robotic arms through the generation of student handwriting||Authors:||Quintana, Jose J.
Ferrer, Miguel A.
|Keywords:||120304 Inteligencia artificial
33 Ciencias tecnológicas
|Issue Date:||2018||Publisher:||2573-4059||Journal:||2018 XIII TECHNOLOGIES APPLIED TO ELECTRONICS TEACHING CONFERENCE (TAEE)||Abstract:||The use of robotics arms provides students several advantages in the teaching and learning process, compared to methods based on simulation programs. Moreover, programming the robotic arm to imitate a human action previously carried out by the students, makes them to have a better personal satisfaction. Following up this idea, a lab session has been designed and tested by the authors. It is composed by the following phases: Students first register their personal handwriting on a digitizing tablet. Next, they develop a program to make that a commercial robot writes such piece of handwriting. Then, the commercial robotic arm produce such piece of handwriting on a digitizing tablet. Finally, a comparison between the original handwriting and the one made by the robot is worked out. To evaluate the success of the proposed lab session, a survey was issued to students who followed the course in robotics last semester with encouraging resuts.||URI:||http://hdl.handle.net/10553/52576||ISSN:||2573-4059||Source:||2018 XIII Technologies Applied to Electronics Teaching Conference (TAEE) [ISSN 2573-4059]|
|Appears in Collections:||Artículos|
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checked on Jul 21, 2019
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