2026-03-09T21:15:18Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/697752025-02-20T09:27:42Zcom_10324_966com_10324_952com_10324_894col_10324_967
Calderón Sesmero, Raúl
Duque Domingo, Jaime
Gómez García-Bermejo, Jaime
Zalama Casanova, Eduardo
2024-09-16T11:43:26Z
2024-09-16T11:43:26Z
2024
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
Producción Científica
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.
Centro para el Desarrollo Tecnológico Industrial - (grant CER-20211007)
Junta de Castilla y León, Instituto para la Competitividad Empresarial y Fondo Europeo de Desarrollo Regional (FEDER) - (Project CCTT3/20/VA/0 0 03)
Ministerio de Ciencia, Innovación y Universidades/Agencia Estatal de Investigación (AEI)/10.13039/501100011033 y Fondo Europeo de Desarrollo Regional (FEDER), Unión Europea - (grant ROSOGAR PID2021-123020OB-I00)
application/pdf
eng
MDPI
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
© 2024 The authors
Atribución 4.0 Internacional
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
1203 Ciencia de Los Ordenadores
1203.04 Inteligencia Artificial
3304 Tecnología de Los Ordenadores
3311.01 Tecnología de la Automatización
Development of a human–robot interface for cobot trajectory planning using mixed reality
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
https://www.mdpi.com/2079-9292/13/3/571
SI