RT info:eu-repo/semantics/article
T1 Development of a human–robot interface for cobot trajectory planning using mixed reality
A1 Calderón Sesmero, Raúl
A1 Duque Domingo, Jaime
A1 Gómez García-Bermejo, Jaime
A1 Zalama Casanova, Eduardo
K1 Mixed reality
K1 Human-robot interaction
K1 Collaborative robots
K1 Robots
K1 Robotics and Automation
K1 Robótica
K1 Automatización
K1 Pattern recognition
K1 Reconocimiento de formas (Informática)
K1 Artificial intelligence
K1 Computer networks
K1 Redes de ordenadores
K1 Computer science
K1 1203 Ciencia de Los Ordenadores
K1 1203.04 Inteligencia Artificial
K1 3304 Tecnología de Los Ordenadores
K1 3311.01 Tecnología de la Automatización
AB 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.
PB MDPI
SN 2079-9292
YR 2024
FD 2024
LK https://uvadoc.uva.es/handle/10324/69775
UL https://uvadoc.uva.es/handle/10324/69775
LA eng
NO Electronics, 2024, Vol. 13, Nº. 3, 571
NO Producción Científica
DS UVaDOC
RD 22-dic-2024