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CORDIS - Resultados de investigaciones de la UE
CORDIS

AI Powered human-centred Robot Interactions for Smart Manufacturing

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

Task Analysis for benchmarking and design requirements (I) (se abrirá en una nueva ventana)

Written report providing in-depth analysis of the original manual tasks for each use case, setting out risks and recommended mitigations, guidance for function allocation, and human-centred design requirements. Behavioural models and skills analysis will also be included in some of the iterations (M20 and M36 respectively).

AI-PRISM Dissemination and Communication Report (I) (se abrirá en una nueva ventana)

Documentation of the actions and outcomes achieved concerning the promotional strategies. The final report will detail the international cooperation report.

Technology benchmarking and Project Vision (se abrirá en una nueva ventana)

This deliverable will provide details about project vision and the benchmarking oftechnology landscape. It will be the main output of tasks 1.1 and 1.2.

AI-PRISM Impact Master Plan (se abrirá en una nueva ventana)

Project’s dissemination, exploitation, and communication plans, outlining the target groups and segments. The report will include a description of the project website and social media, and the standardisation landscape.

AI-PRISM Human Robot Cooperation Ambient (I) (se abrirá en una nueva ventana)

Consecutive releases of the CI/CD framework (code repositories, CI/CD pipelines and project scaffolds to support the development, integration, and validation of AI-based modules). Software releases of libraries of AI-based modules to enhance perception andreasoning capabilities of agents in the collaborative ambient, as well as to enable ambient level coordination and learning tasks by human demonstration.

AI-PRISM Human Centred Collaborative Robotic Platform (I) (se abrirá en una nueva ventana)

Consecutive releases of the AI-PRISM software which includes libraries for real time communication, ambient digitalisation, and simulation. This includes code repositories, and pipelines to support the development of new modules, their deployment and testing. The simulation platform supports specific developed modules for agent simulation and for collaboration and risks evaluation.

Publicaciones

A Study to Compare YOLO Family Models for Metal Surface Anomaly Detection (se abrirá en una nueva ventana)

Autores: A. Koc, O. Albayrak, Y. Kurt and P. Unal
Publicado en: IEEE International Conference on Big Data (BigData), 2023
Editor: IEEE
DOI: 10.1109/BigData59044.2023.10386849

Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation (se abrirá en una nueva ventana)

Autores: Corsetti, Jaime; Boscaini, Davide; Poiesi, Fabio
Publicado en: 8th International Workshop on Recovering 6D Object Pose, 2023
Editor: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
DOI: 10.48550/arxiv.2307.15514

Breaking the barriers: multilingual user engagement to increase process engagement and technology acceptance in manufacturing (se abrirá en una nueva ventana)

Autores: Iveta Eimontaite, Sarah Fletcher, Krystian Goławski, Tomasz Kołcon
Publicado en: Human Aspects of Advanced Manufacturing, Edición Volume 80, 2023
Editor: AHFE International
DOI: 10.54941/AHFE1003503

FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models

Autores: Caraffa, Andrea; Boscaini, Davide; Hamza, Amir; Poiesi, Fabio
Publicado en: Computer Vision and Pattern Recognition, 2024
Editor: arXiv

Novel Class Discovery for 3D Point Cloud Semantic Segmentation (se abrirá en una nueva ventana)

Autores: Riz, Luigi; Saltori, Cristiano; Ricci, Elisa; Poiesi, Fabio
Publicado en: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Editor: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
DOI: 10.48550/arxiv.2303.11610

TO COLLABORATE OR NOT TO COLLABORATE? HOW TO DETERMINE THE MOST SUITABLE LEVEL OF AUTOMATION TO INCREASE WORKFORCE SUSTAINABILITY AND PRODUCTION EFFICIENCY (se abrirá en una nueva ventana)

Autores: SACHA GODHANIA, IVETA EIMONTAITE, SARAH R. FLETCHER, ANA GONZALEZ SEGURA, ELOY RUIZ, ANA PAOLA CARO OSPINA
Publicado en: ICRES 2023: 8th International Conference on Robot Ethics and Standards, 2023
Editor: CLAWAR Association - Series on Robot Ethics and Standards
DOI: 10.13180/icres.2023.17-18.07.006

Open-vocabulary object 6D pose estimation (se abrirá en una nueva ventana)

Autores: Jaime Corsetti, Davide Boscaini, Changjae Oh, Andrea Cavallaro, Fabio Poiesi
Publicado en: Computer Vision and Pattern Recognition, 2024
Editor: Computer Vision and Pattern Recognition
DOI: 10.48550/arXiv.2312.00690

Adaptive Beacon Period Configurator for Scalable LoRaWAN Downlink Applications (se abrirá en una nueva ventana)

Autores: SILVESTRE-BLANES, Javier
Publicado en: IEEE Access, 2023, ISSN 2169-3536
Editor: IEEE Access
DOI: 10.1109/ACCESS.2023.3301991

PatchMixer: Rethinking network design to boost generalization for 3D point cloud understanding (se abrirá en una nueva ventana)

Autores: Davide Boscaini; Fabio Poiesia
Publicado en: Image and Vision Computing, 2023, ISSN 0262-8856
Editor: Image and Vision Computing
DOI: 10.2139/ssrn.4370105

Novel class discovery meets foundation models for 3D semantic segmentation (se abrirá en una nueva ventana)

Autores: Riz, Luigi; Saltori, Cristiano; Wang, Yiming; Ricci, Elisa; Poiesi, Fabio
Publicado en: International Journal of Computer Vision, 2024, ISSN 1573-1405
Editor: International Journal of Computer Vision
DOI: 10.48550/arxiv.2312.03782

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