Mixed Reality Human-Robot Interface for Robotic Operations in Hazardous Environments
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/29747
comunitat-uji-handle3:10234/162753
comunitat-uji-handle4:
TESISMetadatos
Título
Mixed Reality Human-Robot Interface for Robotic Operations in Hazardous EnvironmentsAutoría
Director/a
Marín Prades, Raúl; Di Castro, MarioPrograma de Doctorado
Programa de Doctorat en InformàticaÓrgano responsable
Universitat Jaume I. Escola de DoctoratFecha de defensa
2023-10-23Descripción
Compendi d'articles. Doctorat internacional
Editor
Universitat Jaume IPalabras clave
Área de conocimiento
Páginas
122 p.Resumen
This thesis addresses the need for reliable and immersive human-robot interfaces in hazardous environments. Three key goals were achieved. Firstly, techniques were developed to provide immersive interactions while ... [+]
This thesis addresses the need for reliable and immersive human-robot interfaces in hazardous environments. Three key goals were achieved. Firstly, techniques were developed to provide immersive interactions while ensuring accurate robot positioning in a realistic underground particle accelerator environment. A network optimization framework facilitated using Mixed Reality (MR) technologies for collision detection, trajectory planning, and real-time control. Secondly, an Augmented Reality (AR) interface was designed for wireless network environments, enabling efficient interaction through hand and eye tracking, motion tracking, and voice recognition. The interface allowed collaboration among multiple experts in the AR workspace. The interface's performance was evaluated in real intervention scenarios at CERN, meeting operational requirements. A comparison with a 2D interface was conducted, assessing safety and efficiency using various assessment methods and physiological measurements. The developed MR human-robot interfaces demonstrated operational readiness. Limitations and areas for improvement were identified, including optimizing network architecture and applying automatic interaction strategies. [-]
Derechos de acceso
L'accés als continguts d'aquesta tesi queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-sa/4.0/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess