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CORDIS - Resultados de investigaciones de la UE
CORDIS

Embodied Social Experiences in Hybrid Shared Spaces

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Implemented integrated SHARESPACE prototypes v1 (se abrirá en una nueva ventana)

The deliverable consists of the first integrated prototype demonstration of SHS-system which will be used in the trial.

Avatar adaptation v1 (se abrirá en una nueva ventana)

The deliverable consists of the first implementation demonstrating the capability of the avatar to adapt to the local context, meaning avatar-to-environment interactions and social engagement with multiple humans/avatars.

Accurate Hand Kinematics Predictions from ego-vision v1 (se abrirá en una nueva ventana)

The deliverable presents the first implementation of hand tracking and reconstruction from an ego-perspective.

XR communication platform design and validation v1 (se abrirá en una nueva ventana)

The deliverable presents the XR-communication platform which will be used for the trials.

Self-calibrating ego-centric visual-intertial bofy tracking v1 (se abrirá en una nueva ventana)

The deliverable presents succinctly the first implementation of the self-calibration capability of the visual-inertial ego-centric body sensor network.

Multi-sensors and Multifocal XR display v1 (se abrirá en una nueva ventana)

The deliverable consists of the demonstrator with the first integration of the cameras and sensor system in the head-mounted display. The demonstrator is presented in a document, which is submitted as a deliverable.

Spherical RGB and ToF scene capturing v1 (se abrirá en una nueva ventana)

This demonstrator consists of an evaluation of the 3D capability of the spherical ToF-camera for scanning a room or large space. The results are described succinctly in a document submitted as deliverable.

Style Preserving animation of avatars v1 (se abrirá en una nueva ventana)

This deliverable consists of a demonstrator presenting the animated avatar with a certain degree of autonomy. The motion styles are preserved and do violate the sensorimotor primitives.

Avatar animation v1 (se abrirá en una nueva ventana)

This deliverable consists of a demonstrator presenting the capability of the avatar animation. The results will be succinctly documented in a report.

Photo-realistic scene neutral rendering v1 (se abrirá en una nueva ventana)

The report presents the first results on neural rendering with spherical images for large spaces.

Interim impact and communication assessment report phase 1 (se abrirá en una nueva ventana)

The deliverable presents the first assessment of the communication measures. The impact is evaluated through measurable metrics and will lead to an adjustment of the communication strategy.

Architecture design and validation (L3 avatars) v1 (se abrirá en una nueva ventana)

The deliverable describes the first approaches and results of the capability of the avatars L3.

Research Requirements for challenges and scenarios v1 (se abrirá en una nueva ventana)

This deliverable will present the results of task 1.3 about the use-case description and requirement definition at the project beginning. It will allow for the development of the system architecture.

SHARESPACE avatar definition v1 (se abrirá en una nueva ventana)

The deliverable describes the virtual avatar from a technical point of view. This includes the definition of the animation and rendering features as well as API for integration.

Detailed planning on scenario validation v1 (se abrirá en una nueva ventana)

The deliverable presents a detailed planning of the trial as conceived in task 6.1. It addresses all aspects of the trial preparation and proposed a detailed timeline with corresponding milestones.

Ethical Framework v1 (se abrirá en una nueva ventana)

This report presents the ethical approach and principles of the SHS project, the constitution of the Advisory Board and its activities within the first 12 months.

Architecture design and validation (L1 and L2 avatars) v1 (se abrirá en una nueva ventana)

The deliverable presents the results of the first architecture for L1 and L2 avatars, which generate reference motions for the avatar by considering the metrics to be minimised.

Publicaciones

Distributed control for geometric pattern formation of large-scale multirobot systems (se abrirá en una nueva ventana)

Autores: Andrea Giusti, Gian Carlo Maffettone, Davide Fiore, Marco Coraggio, Mario di Bernardo
Publicado en: Frontiers in Robotics and AI, Edición 10-2023, 2023, ISSN 1664-3224
Editor: Frontiers
DOI: 10.48550/arXiv.2207.14567

Kinematic priming of action predictions (se abrirá en una nueva ventana)

Autores: Eugenio Scaliti, Kiri Pullar, Giulia Borghini, Andrea Cavallo, Stefano Panzeri, Cristina Becchio
Publicado en: CellPress, Edición 33-13, 2023, ISSN 0092-8674
Editor: Cell Press
DOI: 10.1016/j.cub.2023.05.055

The emerging role of virtual reality as an adjunct to procedural sedation and anesthesia (se abrirá en una nueva ventana)

Autores: Rita Hitching; Hunter G. Hoffman; Azucena Garcia-Palacios; Maheen M. Adamson; Esmeralda Madrigal; Wadee Alhalabi; Ahad Alhudali; Mariana Sampaio; Barry Peterson; Miles R. Fontenot; Keira P. Mason
Publicado en: Journal of Clinical Medicine, Edición 12-3, 2023, ISSN 2077-0383
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/jcm12030843

Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning (se abrirá en una nueva ventana)

Autores: De Lellis, Francesco; Coraggio, Marco; Russo, Giovanni; Musolesi, Mirco; di Bernardo, Mario
Publicado en: IEEE, 2023, ISSN 1803-7232
Editor: IEEE
DOI: 10.48550/arxiv.2311.10026

Local Convergence of Multi-Agent Systems Toward Rigid Lattices (se abrirá en una nueva ventana)

Autores: Andrea Giusti; Marco Coraggio; Mario di Bernardo
Publicado en: IEEE, 2023, ISSN 1803-7232
Editor: IEEE
DOI: 10.1109/lcsys.2023.3289060

Data-driven architecture to encode information in the kinematics of robots and artificial avatars (se abrirá en una nueva ventana)

Autores: Francesco De Lellis, Marco Coraggio, Nathan C. Foster, Riccardo Villa, Cristina Becchio, Mario di Bernardo
Publicado en: IEEE, 2024, ISSN 1803-7232
Editor: IEEE
DOI: 10.48550/arXiv.2403.06557

Action prediction in psychosis (se abrirá en una nueva ventana)

Autores: Noemi Montobio
Publicado en: SpringerNature, Edición 1264, 2024, ISSN 2193-1801
Editor: Springer Science and Business Media Deutschland GmbH
DOI: 10.1038/s41537-023-00429-x.

Local convergence of multi-agent systems towards triangular patterns (se abrirá en una nueva ventana)

Autores: Giusti, Andrea; Coraggio, Marco; di Bernardo, Mario
Publicado en: IEEE, 2023, ISSN 1803-7232
Editor: IEEE
DOI: 10.48550/arxiv.2303.11865

eXtended Reality of socio-motor interactions: Current Trends and Ethical Considerations for Mixed Reality Environments Design (se abrirá en una nueva ventana)

Autores: Julia Ayache, Marta Bienkiewicz, Kathleen Richardson, Benoit Bardy
Publicado en: ACM, 2023
Editor: ACM
DOI: 10.1145/3610661.361798

Data-driven design of complex network structures to promote synchronization (se abrirá en una nueva ventana)

Autores: Coraggio, Marco; di Bernardo, Mario
Publicado en: 2023
Editor: N/A
DOI: 10.48550/arxiv.2309.10941

Continuification Control of Large-Scale Multiagent Systems Under Limited Sensing and Structural Perturbations (se abrirá en una nueva ventana)

Autores: Gian Carlo Maffettone; Maurizio Porfiri; Mario Di Bernardo
Publicado en: IEEE, 2023
Editor: 1803-7232
DOI: 10.48550/arxiv.2303.13246

Improving Image Reconstruction using Incremental PCA-Embedded Convolutional Variational Auto- Encoder (se abrirá en una nueva ventana)

Autores: Amir Azizi, Panayiotis Charalambous, Yiorgos Chrysanthou
Publicado en: WSCG, 2024
Editor: WSCG
DOI: 10.24132/10.24132/CSRN.3401.12

Control- Tutored Deep Reinforcement Learning (se abrirá en una nueva ventana)

Autores: Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
Publicado en: PMLR, Edición 211, 2023, ISSN 2640-3498
Editor: PMLR
DOI: 10.48550/arXiv.2212.01343

Learning-based cognitive architecture for enhancing coordination in human groups (se abrirá en una nueva ventana)

Autores: Antonio Grotta, Marco Coraggio, Antonio Spallone, Francesco De Lellis, Mario di Bernardo
Publicado en: IFAC, 2024, ISSN 0000-1118
Editor: IFAC
DOI: 10.48550/arXiv.2406.06297

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