Robotic Safe Adaptation In unprecedented Situations

Información del proyecto

RoboSAPIENS

Identificador del acuerdo de subvención: 101133807

DOI

10.3030/101133807

Fecha de la firma de la CE 14 Noviembre 2023

Fecha de inicio 1 Enero 2024

Fecha de finalización 31 Diciembre 2026

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 6 883 242,50

Aportación de la UE

€ 6 883 233,50

Coordinado por

AARHUS UNIVERSITET
Denmark

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 .

Publicaciones

Conference proceedings (6)

Improving Active Face Recognition using Multi-Task Learning

Autores: Michail Loufakis, Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas
Publicado en: 15th International Conference on Information, Intelligence, Systems and Applications (IISA) 2024, 2024
Editor: IEEE

Improving Active Face Recognition using Multi-Task Learning

Autores: Michail Loufakis, Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas
Publicado en: 2024 15th International Conference on Information, Intelligence, Systems & Applications (IISA), 2024
Editor: IEEE
DOI: 10.1109/IISA62523.2024.10786720

Assessing the Uncertainty and Robustness of the Laptop Refurbishing Software

Autores: Chengjie Lu, Jiahui Wu, Shaukat Ali, Mikkel Labori Olsen
Publicado en: 2025 IEEE Conference on Software Testing, Verification and Validation (ICST), 2025
Editor: IEEE
DOI: 10.1109/ICST62969.2025.10988977

Continual Updates of Face Embeddings using Deep Reinforcement Learning

Autores: Pavlos Tosidis, Nikolaos Passalis and Anastasios Tefas
Publicado en: 27th International Conference on Pattern Recognition (ICPR) 2024, Workshop on Facial and Body Expressions, 2024
Editor: IAPR

Runtime Verification of Autonomous Systems Utilizing Digital Twins as a Service

Autores: Morten Haahr Kristensen, Alberto Bonizzi, Cláudio Gomes, Simon Thrane Hansen, Carlos Isasa, Hannes Iven, Eduard Kamburjan, Peter Gorm Larsen, Martin Leucker, Prasad Talasila, Valdemar Trøjgård Tang, Stefano Tonetta, Lars B. Vosteen, Thomas Wright
Publicado en: 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), 2024
Editor: IEEE
DOI: 10.1109/ACSOS-C63493.2024.00042

Probabilistic Knowledge Transfer for Lightweight Vision Transformers

Autores: Ioannis Bountouris, Nikolaos Passalis, Anastasios Tefas
Publicado en: 32nd European Signal Processing Conference (EUSIPCO), 2024, 2024
Editor: EURASIP

Book chapters (4)

Formal Architectural Patterns for Adaptive Robotic Software

Autores: James Baxter, Bert van Acker, Morten Kristensen, Thomas Wright, Ana Cavalcanti, Cláudio Gomes
Publicado en: Lecture Notes in Computer Science, Fundamental Approaches to Software Engineering, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-90900-9_8

Foundation Models for the Digital Twins Creation of Cyber-Physical Systems

Autores: Shaukat Ali, Paolo Arcaini, Aitor Arrieta
Publicado en: Lecture Notes in Computer Science, Leveraging Applications of Formal Methods, Verification and Validation. Application Areas, 2024
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-75390-9_2

Process-Algebraic Semantics for Verifying Intelligent Robotic Control Software

Autores: Ziggy Attala, Fang Yan, Simon Foster, Ana Cavalcanti, Jim Woodcock
Publicado en: Lecture Notes in Computer Science, NASA Formal Methods, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-93706-4_2

Large Models in Dialogue for Active Perception and Anomaly Detection

Autores: Tzoulio Chamiti, Nikolaos Passalis, Anastasios Tefas
Publicado en: Lecture Notes in Computer Science, Pattern Recognition, 2024
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78447-7_25

Peer reviewed articles (4)

Robotic safe adaptation in unprecedented situations: the RoboSAPIENS project

Autores: Larsen, G. Peter; Ali, Shaukat; Behrens, Roland; Cavalcanti, Ana; Gomes, Claudio; Li, Guoyuan; Meulenaere, Paul De; Olsen, Mikkel L.; Passalis, Nikolaos; Peyrucain, Thomas; Tapia, Jesús; Tefas, Anastasios; Zhang, Houxiang
Publicado en: Research Directions: Cyber-Physical Systems, 2024, ISSN 2753-8516
Editor: Cambridge University Press
DOI: 10.1017/CBP.2024.4

Learning Nonlinear Dynamics of Ocean Surface Vessel With Multistep Constraints

Autores: Tongtong Wang, Robert Skulstad, Motoyasu Kanazawa, Guoyuan Li, Houxiang Zhang
Publicado en: IEEE Transactions on Industrial Informatics, Edición 20, 2024, ISSN 1551-3203
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TII.2024.3396359

Physics-Informed Neural Networks for Robust System Identification of Ship Roll Dynamics With Noise Resilience

Autores: Tongtong Wang, Robert Skulstad, Houxiang Zhang
Publicado en: IEEE Transactions on Industrial Informatics, Edición 21, 2025, ISSN 1551-3203
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TII.2025.3534406

Leveraging active perception for real-time high-resolution pose estimation

Autores: Theodoros Manousis, Emmanouil Eleftheriadis, Nikolaos Passalis, Anastasios Tefas
Publicado en: Expert Systems with Applications, Edición 271, 2025, ISSN 0957-4174
Editor: Elsevier BV
DOI: 10.1016/J.ESWA.2025.126550