Robotic Safe Adaptation In unprecedented Situations

Informazioni relative al progetto

RoboSAPIENS

ID dell’accordo di sovvenzione: 101133807

DOI

10.3030/101133807

Data della firma CE 14 Novembre 2023

Data di avvio 1 Gennaio 2024

Data di completamento 31 Dicembre 2026

Finanziato da

• Digital, Industry and Space

Costo totale

€ 6 883 242,50

Contributo UE

€ 6 883 233,50

Coordinato da

AARHUS UNIVERSITET
Denmark

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 .

Pubblicazioni

Conference proceedings (6)

Improving Active Face Recognition using Multi-Task Learning

Autori: Michail Loufakis, Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas
Pubblicato in: 15th International Conference on Information, Intelligence, Systems and Applications (IISA) 2024, 2024
Editore: IEEE

Improving Active Face Recognition using Multi-Task Learning

Autori: Michail Loufakis, Pavlos Tosidis, Nikolaos Passalis, Anastasios Tefas
Pubblicato in: 2024 15th International Conference on Information, Intelligence, Systems & Applications (IISA), 2024
Editore: IEEE
DOI: 10.1109/IISA62523.2024.10786720

Assessing the Uncertainty and Robustness of the Laptop Refurbishing Software

Autori: Chengjie Lu, Jiahui Wu, Shaukat Ali, Mikkel Labori Olsen
Pubblicato in: 2025 IEEE Conference on Software Testing, Verification and Validation (ICST), 2025
Editore: IEEE
DOI: 10.1109/ICST62969.2025.10988977

Continual Updates of Face Embeddings using Deep Reinforcement Learning

Autori: Pavlos Tosidis, Nikolaos Passalis and Anastasios Tefas
Pubblicato in: 27th International Conference on Pattern Recognition (ICPR) 2024, Workshop on Facial and Body Expressions, 2024
Editore: IAPR

Runtime Verification of Autonomous Systems Utilizing Digital Twins as a Service

Autori: 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
Pubblicato in: 2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), 2024
Editore: IEEE
DOI: 10.1109/ACSOS-C63493.2024.00042

Probabilistic Knowledge Transfer for Lightweight Vision Transformers

Autori: Ioannis Bountouris, Nikolaos Passalis, Anastasios Tefas
Pubblicato in: 32nd European Signal Processing Conference (EUSIPCO), 2024, 2024
Editore: EURASIP

Book chapters (4)

Formal Architectural Patterns for Adaptive Robotic Software

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

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

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

Process-Algebraic Semantics for Verifying Intelligent Robotic Control Software

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

Large Models in Dialogue for Active Perception and Anomaly Detection

Autori: Tzoulio Chamiti, Nikolaos Passalis, Anastasios Tefas
Pubblicato in: Lecture Notes in Computer Science, Pattern Recognition, 2024
Editore: 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

Autori: 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
Pubblicato in: Research Directions: Cyber-Physical Systems, 2024, ISSN 2753-8516
Editore: Cambridge University Press
DOI: 10.1017/CBP.2024.4

Learning Nonlinear Dynamics of Ocean Surface Vessel With Multistep Constraints

Autori: Tongtong Wang, Robert Skulstad, Motoyasu Kanazawa, Guoyuan Li, Houxiang Zhang
Pubblicato in: IEEE Transactions on Industrial Informatics, Numero 20, 2024, ISSN 1551-3203
Editore: 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

Autori: Tongtong Wang, Robert Skulstad, Houxiang Zhang
Pubblicato in: IEEE Transactions on Industrial Informatics, Numero 21, 2025, ISSN 1551-3203
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TII.2025.3534406

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

Autori: Theodoros Manousis, Emmanouil Eleftheriadis, Nikolaos Passalis, Anastasios Tefas
Pubblicato in: Expert Systems with Applications, Numero 271, 2025, ISSN 0957-4174
Editore: Elsevier BV
DOI: 10.1016/J.ESWA.2025.126550