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CORDIS - Risultati della ricerca dell’UE
CORDIS

Mixed reality ecosystem for teaching robotics in manufacturing

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Tools for robot application programming with PbD and visual support - First version (si apre in una nuova finestra)

The first version of robot programming tool will be described, including the Programming-by-Demonstration (PbD) technique and the Look-and-Move (L&M) technique

Demonstrator of active and passive gaze-based interaction in XR - First version (si apre in una nuova finestra)

Description of the first development of a module for active and passive gaze-based interaction in XR settings

Demonstrator of active and passive gaze-based interaction in XR - Initial design (si apre in una nuova finestra)

Description of the design of the module for active and passive gazebased interaction in XR settings

Platform for XR content creation - Initial design (si apre in una nuova finestra)

Design of the XR platform for content creation

Platform for XR content creation - First version (si apre in una nuova finestra)

First version of the XR platform for content creation

MR based features for ensuring health and safety - Initial design (si apre in una nuova finestra)

Initial design of MR features integrated with AI decision making tools that will ensure health and safety in a workplace

MR based features for ensuring health and safety - First version (si apre in una nuova finestra)

First version of MR features integrated with AI decision making tools, that will ensure health and safety in a workplace.

Tools for robot application programming with PbD and visual support - Initial design (si apre in una nuova finestra)

The design of robot programming tool will be described including the ProgrammingbyDemonstration PbD technique and the LookandMove LM technique

Definition of platform and educational use cases for each category of end-user (si apre in una nuova finestra)

Describe the features that will be included in the XR platform and the didactic use cases based on the end users requirements to build a value proposition that considers their needs

Data Management Plan (si apre in una nuova finestra)

Report describing the Data Management Plan that will be followed during the project

Open Call 1 launch documentation package (si apre in una nuova finestra)

Description of the documentation package prepared for the 1st OC.

Pubblicazioni

A review of machine learning in scanpath analysis for passive gaze-based interaction (si apre in una nuova finestra)

Autori: Abdulrahman Mohamed Selim. Michael Barz, Omair Shahzad Bhatti1, Hasan Md Tusfiqur Alam, Daniel Sonntag1
Pubblicato in: Front. Artif. Intell., 2024, ISSN 2624-8212
Editore: Frontiers
DOI: 10.3389/frai.2024.1391745

Cross-Viewpoint Semantic Mapping: Integrating Human and Robot Perspectives for Improved 3D Semantic Reconstruction (si apre in una nuova finestra)

Autori: Kopácsi, László; Baffy, Benjamin; Baranyi, Gábor; Skaf, Joul; Sörös, Gábor; Szeier, Szilvia; Lőrincz, András; Sonntag, Daniel
Pubblicato in: Sensors, Vol 23, Iss 11, p 5126 (2023), 2023, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23115126

IMETA: An Interactive Mobile Eye Tracking Annotation Method for Semi-automatic Fixation-to-AOI mapping (si apre in una nuova finestra)

Autori: Kopácsi, László; Barz, Michael; Bhatti, Omair Shahzad; Sonntag, Daniel
Pubblicato in: IUI'23 Companion, 2023, ISBN 9798400701078
Editore: Association for Computing Machinery
DOI: 10.1145/3581754.3584125

Interactive Fixation-to-AOI Mapping for Mobile Eye Tracking Data based on Few-Shot Image Classification (si apre in una nuova finestra)

Autori: Barz, Michael; Bhatti, Omair Shahzad; Alam, Hasan Md Tusfiqur; Nguyen, Duy Minh Ho; Sonntag, Daniel
Pubblicato in: IUI'23 Companion, 2023, ISBN 9798400701078
Editore: Association for Computing Machinery
DOI: 10.1145/3581754.3584179

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