MASTER: Difference between revisions

Latest revision as of 12:48, 22 April 2026

MASTER Project

CORDIS Reference	Start date	End date	Coordinator	Project website
https://cordis.europa.eu/project/id/101093079	01/01/2023	30/06/2026	PANEPISTIMIO PATRON	https://www.master-xr.eu/project/

Project description

The transition to Industry 4.0 required the adoption of new robotic and automation tools in its processes. The adoption of such tools requires that workers understand how to use and take advantage of them. Additionally, extended reality (XR) technologies have reached sufficient maturity to enter the domain of industrial applications and, among other things, support the training of operators. The EU-funded MASTER project will use XR tools to address the education challenges and create new training material to help operators learn and adapt to the new automation tools, boosting the XR ecosystem's capacity for training in robotics in manufacturing. The project will launch two Open Calls; the first will provide the XR platform with the necessary training tools and features to be enhanced by selected companies, while the second will test first-hand the platform and tools by creating training material

Project outputs

Publications

Domain	Type of output	Title	DOI URL
Computer Vision, 3D Modeling & Rendering	Peer reviewed articles	Cross-Viewpoint Semantic Mapping: Integrating Human and Robot Perspectives for Improved 3D Semantic Reconstruction	https://doi.org/10.3390/s23115126
Extended Reality (VR/AR/MR) & HCI	Peer reviewed articles	A review of machine learning in scanpath analysis for passive gaze-based interaction	https://doi.org/10.3389/frai.2024.1391745
Healthcare, Medicine & Accessibility	Conference proceedings	Interactive Fixation-to-AOI Mapping for Mobile Eye Tracking Data based on Few-Shot Image Classification	https://doi.org/10.1145/3581754.3584179
Healthcare, Medicine & Accessibility	Conference proceedings	IMETA: An Interactive Mobile Eye Tracking Annotation Method for Semi-automatic Fixation-to-AOI mapping	https://doi.org/10.1145/3581754.3584125

Technological assets

Title	Type of Asset	Link / DOI	Description
IMETA	Software Tool	https://doi.org/10.1145/3581754.3584125	An interactive mobile eye-tracking annotation method for semi-automatic fixation-to-AOI mapping.

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-"=== MASTER Project ===
+== MASTER Project ==
 {| class='wikitable' style='margin:auto'
 |-
-! CORDIS Reference !! Start date !! End date !! Coordinator
+! CORDIS Reference !! Start date !! End date !! Coordinator !! Project website
 |-
-| https://cordis.europa.eu/project/id/101093079 || 01/01/2023 || 30/06/2026 || PANEPISTIMIO PATRON|}
+| https://cordis.europa.eu/project/id/101093079 || 01/01/2023 || 30/06/2026 || PANEPISTIMIO PATRON || https://www.master-xr.eu/project/
-The transition to Industry 4.0 required the adoption of new robotic and automation tools in its processes. The adoption of such tools requires that workers understand how to use and take advantage of them. Additionally, extended reality (XR) technologies have reached sufficient maturity to enter the domain of industrial applications and, among other things, support the training of operators. The EU-funded MASTER project will use XR tools to address the education challenges and create new training material to help operators learn and adapt to the new automation tools, boosting the XR ecosystem's capacity for training in robotics in manufacturing. The project will launch two Open Calls; the first will provide the XR platform with the necessary training tools and features to be enhanced by selected companies, while the second will test first-hand the platform and tools by creating training material"
+|}
+=== Project description ===
+The transition to Industry 4.0 required the adoption of new robotic and automation tools in its processes. The adoption of such tools requires that workers understand how to use and take advantage of them. Additionally, extended reality (XR) technologies have reached sufficient maturity to enter the domain of industrial applications and, among other things, support the training of operators. The EU-funded MASTER project will use XR tools to address the education challenges and create new training material to help operators learn and adapt to the new automation tools, boosting the XR ecosystem's capacity for training in robotics in manufacturing. The project will launch two Open Calls; the first will provide the XR platform with the necessary training tools and features to be enhanced by selected companies, while the second will test first-hand the platform and tools by creating training material
+=== Project outputs ===
+==== Publications ====
+{| class="wikitable sortable"
+! Domain !! Type of output !! Title !! DOI URL
+|-
+| Computer Vision, 3D Modeling & Rendering || Peer reviewed articles || Cross-Viewpoint Semantic Mapping: Integrating Human and Robot Perspectives for Improved 3D Semantic Reconstruction || https://doi.org/10.3390/s23115126
+|-
+| Extended Reality (VR/AR/MR) & HCI || Peer reviewed articles || A review of machine learning in scanpath analysis for passive gaze-based interaction || https://doi.org/10.3389/frai.2024.1391745
+|-
+| Healthcare, Medicine & Accessibility || Conference proceedings || Interactive Fixation-to-AOI Mapping for Mobile Eye Tracking Data based on Few-Shot Image Classification || https://doi.org/10.1145/3581754.3584179
+|-
+| Healthcare, Medicine & Accessibility || Conference proceedings || IMETA: An Interactive Mobile Eye Tracking Annotation Method for Semi-automatic Fixation-to-AOI mapping || https://doi.org/10.1145/3581754.3584125
+|}
+==== Technological assets ====
+{| class="wikitable sortable"
+! Title !! Type of Asset !! Link / DOI !! Description
+|-
+| IMETA || Software Tool || https://doi.org/10.1145/3581754.3584125 || An interactive mobile eye-tracking annotation method for semi-automatic fixation-to-AOI mapping.
+|}