The rapid advancements in Robotics and Mixed Reality (MR) have opened new avenues for intuitive human-robot interaction. In this thesis, an intuitive and accessible robot grasping application is developed using MR to enable programming using the operator’s hand movements, reducing the technical complexity associated with traditional programming. The developed application leverages the strengths of MR to provide users with an immersive and intuitive environment. It includes powerful tools such as QR code recognition for quick deployment of virtual objects or the utilization of a Virtual Station that can be placed at any desired location, allowing remote and safe control of the robot. Three modes have been implemented, including manual target placing and thorough editing of its properties, path recording of the user's hand trajectory, and real-time replication of the operator's hand movements by the robot. To assess the effectiveness and intuitiveness of the developed application, a series of user tests are presented. These evaluations include user feedback and task completion time compared to traditional programming methods, which provide valuable insights into the application's usability, efficiency, and user satisfaction. The intuitiveness of the developed application democratizes robot programming, expanding accessibility to a wider range of users, including inexperienced operators and students. / <p>Det finns övrigt digitalt material (t.ex. film-, bild- eller ljudfiler) eller modeller/artefakter tillhörande examensarbetet som ska skickas till arkivet.</p><p>There are other digital material (eg film, image or audio files) or models/artifacts that belongs to the thesis and need to be archived.</p><p>Utbytesstudenter</p>
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:his-22996 |
| Date | January 2023 |
| Creators | San Blas Leal, César, Núñez Moreno, Julián |
| Publisher | Högskolan i Skövde, Institutionen för ingenjörsvetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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