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Beyond perfection: about learning from errors, NAO, and the world of virtual reality

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dc.contributor.advisorJiménez Hernández, Mario Fernando
dc.creatorAcosta Castillo, Dana Isabella
dc.creator.degreeProfesional en Matemáticas Aplicadas y Ciencias de la Computación
dc.creator.degreeLevelPregrado
dc.creator.degreetypeFull time
dc.date.accessioned2023-09-27T16:09:06Z
dc.date.available2023-09-27T16:09:06Z
dc.date.created2023-07-04
dc.date.embargoEndinfo:eu-repo/date/embargoEnd/2025-09-28
dc.descriptionLa realidad virtual (VR) ha experimentado avances significativos en los últimos años gracias a los avances tecnológicos. Se ha convertido en un factor clave en varios campos, incluida la interacción humano-robot (HRI, por sus siglas en inglés). En los estudios de HRI, se observó que las pruebas requerían muchos recursos y protocolos largos y consumidores de tiempo. La VR se utiliza cada vez más para probar robots, ya que permite crear entornos sin consumir tantos recursos. Esto es especialmente evidente en la educación, donde la tecnología de VR se utiliza para crear experiencias de aprendizaje inmersivas, como viajes virtuales que permiten a los estudiantes explorar sitios históricos y fenómenos científicos sin salir del aula. Además, la VR ofrece beneficios económicos al optimizar el tiempo, el espacio y los recursos. La telepresencia es una aplicación crítica de la VR en la relación HRI, permitiendo a los usuarios controlar y interactuar con robots de forma remota, mejorando la calidad y efectividad de la comunicación y la interacción entre humanos y robots. Se mencionan avances significativos en la historia de la robótica, desde Leonardo Da Vinci hasta robots modernos utilizados en tareas de asistencia, fabricación y más. La interacción natural entre humanos y robots es esencial, especialmente en tareas colaborativas, como la fabricación. Para lograr una interacción natural, es necesario comprender cómo los humanos se comunican entre sí, así como cómo perciben y responden a los robots. Esta información se utiliza para desarrollar protocolos de comunicación efectiva entre humanos y robots y para diseñar robots que puedan transmitir información y responder a las señales humanas de manera efectiva. La colaboración entre humanos y robots (HRC) se centra en estudiar y mejorar la relación entre humanos y robots que trabajan juntos en tareas comunes. La implementación de HRC suele ser costosa debido a los altos costos de robots, sensores y espacios controlados. La VR se presenta como una alternativa para reducir costos y facilitar este tipo de estudios. La investigación sugiere que las experiencias de VR son más cercanas a las interacciones con un robot real y que las pruebas en VR son más confiables y transferibles a las habilidades de un robot real. El estudio propone un taller de HRC basado en la VR para evaluar su viabilidad en comparación con las pruebas físicas en términos de eficiencia, costo y estrategia. También busca comparar los resultados y comportamientos de los participantes en entornos físicos y virtuales. La investigación se enfoca en el efecto Pratfall en humanos y robots y sus implicaciones para el desarrollo y uso de robots en entornos que requieren empatía e interacción social. Se llevan a cabo encuestas en dos grupos: uno en un entorno físico y otro en VR, recopilando datos para analizar resultados y discutir posibles influencias de género en las percepciones y respuestas de los participantes. El estudio se organiza en varias secciones que cubren antecedentes, métodos, resultados y discusiones, y concluye con reflexiones sobre futuros trabajos basados en los hallazgos del estudio.
dc.description.abstractThrough a series of instructions, collaborative human-robot interaction is sought to achieve the execution of a practical session in the field of robotics. In this sense, a program composed of a series of instructions related to a typical activity of a practical session in the area of digital electronic systems was proposed. Specifically, a basic session on the management of embedded systems, where students of engineering and computer science will be participants. Basic electronic elements and an embedded system were used to develop a practical session. These elements are usually found in a laboratory in the robotics field because they are part of the fundamental knowledge in such area. The practical session will be carried out through human-robot collaboration (HRC), were the set of instructions is a series of orders given by the NAO, which is a humanoid social robot, thus it is initially indicated to the participant where to locate the electronic elements within a robotics laboratory. Once the set of elements is available, the NAO provides instructions to implement a simple circuit for turning on an LED using an embedded system. In addition, during instructions, the NAO will intentionally give incorrect instructions to the participant without the participant being affected in any way by the said error. In addition, the HRC was implemented in a virtual environment. Different tests were carried out in Virtual Reality (VR) environments because fewer resources are required for their development. In this way, we intend to corroborate the use of VR to develop HRC work tests that are normally carried out in the physical world. In this sense, the same laboratory environment used in the physical world was designed in a virtual environment and the NAO robot. In this way, the participant perceives that he is in a familiar environment. The aim for the participant was to develop a practical robotics session both in the physical world and VR, and to turn on the LED, even with the wrong instructions given by NAO. In both physical and VR cases, the NAO will give instructions for the development of the session. To assess compliance with this objective, a quantitative evaluation will be carried out using the Godspeed, RoSaS, and SUS questionnaires, which allows the evaluation of the perception associated with the performance of the NAO behavior. In addition, the NARS and BFI questionnaires were used to evaluate the participants’ perceptions regarding their interaction with the NAO. The responses (numeric responses) will be classified on Likert scales, and from this information, it is possible to identify the effectiveness and acceptance of the NAO as a support tool for the proposed program. 65.22\% of participants were able to carry out collaborative human-robot work during the practical session. These results support the feasibility and potential of social assistance robots in collaborative environments and highlight the importance of considering error perception and emotional responses in the design of robotic interactions and virtual reality environments.
dc.format.extent80 pp
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.48713/10336_41008
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/41008
dc.language.isoeng
dc.publisherUniversidad del Rosario
dc.publisher.departmentEscuela de Ingeniería, Ciencia y Tecnología
dc.publisher.programPrograma de Matemáticas Aplicadas y Ciencias de la Computación - MACC
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.accesRightsinfo:eu-repo/semantics/embargoedAccess
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dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
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dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subjectHRI
dc.subjectRobótica
dc.subjectVR
dc.subjectErrores
dc.subjectRealidad virtual
dc.subject.keywordHRI
dc.subject.keywordHRC
dc.subject.keywordErrors
dc.subject.keywordRobotics
dc.titleBeyond perfection: about learning from errors, NAO, and the world of virtual reality
dc.title.TranslatedTitleMás allá de la perfección: sobre aprender de los errores, NAO y el mundo de la realidad virtual
dc.typebachelorThesis
dc.type.documentTrabajo de grado
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersion
dc.type.spaTrabajo de grado
local.department.reportEscuela de Ingeniería, Ciencia y Tecnología
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