2026-03-10T06:15:24Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/697752025-02-20T09:27:42Zcom_10324_966com_10324_952com_10324_894col_10324_967

00925njm 22002777a 4500 dc Calderón Sesmero, Raúl author Duque Domingo, Jaime author Gómez García-Bermejo, Jaime author Zalama Casanova, Eduardo author 2024 The growing demand for projects with collaborative robots, known as “cobots”, underlines the need to efficiently address the execution of tasks with speed and flexibility, without neglecting safety in human–robot interaction. In general terms, this practice requires knowledge of robotics programming and skill in the use of hardware. The proposed solution consists of a mixed reality (MR) application integrated into a mixed reality head-mounted device (HMD) that accelerates the process of programming the complex manoeuvres of a cobot. This advancement is achieved through voice and gesture recognition, in addition to the use of digital panels. This allows any user, regardless of his or her robotics experience, to work more efficiently. The Robot Operating System (ROS) platform monitors the cobot and manages the transfer of data between the two. The system uses QR (Quick Response) codes to establish a precise frame of reference. This solution has proven its applicability in industrial processes, by automating manoeuvres and receiving positive feedback from users who have evaluated its performance. This solution promises to revolutionize the programming and operation of cobots, and pave the way for efficient and accessible collaborative robotics. Electronics, 2024, Vol. 13, Nº. 3, 571 2079-9292 https://uvadoc.uva.es/handle/10324/69775 10.3390/electronics13030571 571 3 Electronics 13 2079-9292 Mixed reality Human-robot interaction Collaborative robots Robots Robotics and Automation Robótica Automatización Pattern recognition Reconocimiento de formas (Informática) Artificial intelligence Computer networks Redes de ordenadores Computer science Development of a human–robot interface for cobot trajectory planning using mixed reality