Publications

Scientific Publications

Ensuring Trustworthiness of Hybrid AI-Based Robotics Systems

European Robotics Forum 2024
Alexander Eguia, Nuria Quintano, Irina Marsh, Michel Barreteau, Jakub Głowka, and Agnieszka Spronska, Ensuring Trustworthiness of Hybrid AI-Based Robotics Systems. European Robotics Forum 2024, pp.142-146, Springer Proceedings in Advanced Robotics https://doi.org/10.1007/978-3-031-76428-8
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On the Black-box Explainability of Object Detection Models for Safe and Trustworthy Industrial Applications

Results in Engineering Volume 24, December 2024
Alain Andres, Aitor Martinez-Seras, Ibai Laña, Javier Del Ser, On the black-box explainability of object detection models for safe and trustworthy industrial applications, Results in Engineering, Volume 24, 2024, 103498, ISSN 2590-1230, https://doi.org/10.1016/j.rineng.2024.103498.
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Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurit

Neurocomputing, 2024
PAWLICKI, Marek, PAWLICKA, Aleksandra, KOZIK, Rafał, et al. Advanced insights through systematic analysis: Mapping future research directions and opportunities for xAI in deep learning and artificial intelligence used in cybersecurity. Neurocomputing, 2024, 127759.
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“Physics-Informed Learning in Control” Workshop

2024 European Control Conference (ECC’24)
Nicola Bastianello, Matthieu Barreau, Amritam Das, Kateryna Morozovska, Workshop “Physics-Informed Learning in Control” , at 2024 European Control Conference (ECC’24), Jun. 2024, ISI Web of Science, June 2024.
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Towards Quality Measures for xAI algorithms: Explanation Stability

2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA)

PAWLICKI, Marek, Towards Quality Measures for xAI algorithms: Explanation StabilityIn : 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2023. p. 1-10.

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A unified approach to solve the dynamic consensus on the average, maximum, and median values with linear convergence

2023 62nd IEEE Conference on Decision and Control (CDC)

DEPLANO, Diego, BASTIANELLO, Nicola, FRANCESCHELLI, Mauro, et al. A unified approach to solve the dynamic consensus on the average, maximum, and median values with linear convergence. In : 2023 62nd IEEE Conference on Decision and Control (CDC). IEEE, 2023. p. 6442-6448.

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How Explainable Is Explainability? Towards Better Metrics for Explainable AI

The International Research & Innovation Forum. Springer International
PAWLICKA, Aleksandra, PAWLICKI, Marek, KOZIK, Rafał, et al. How Explainable Is Explainability? Towards Better Metrics for Explainable AI. In : The International Research & Innovation Forum. Cham : Springer International Publishing, 2023. p. 685-695.
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Real-Time Anomaly Detection and Categorization for Satellite Reaction Wheels

2024 European Control Conference (ECC). IEEE
RIVEIROS, Alejandro Penacho, XING, Yu, BASTIANELLO, Nicola, et al. Real-Time Anomaly Detection and Categorization for Satellite Reaction Wheels. In : 2024 European Control Conference (ECC). IEEE, 2024. p. 253-260.
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Newsletters
Communication

Fifth Newsletter

Trustworthy Hybrid-AI for flexible manipulation and navigation Autonomous navigation of AMR (Autonomous Mobile Robots) and manipulation of robotic arms are advanced technologies that independently face

26 février 2025
Communication

Fourth Newsletter

Thales Alenia Space delivers cost-effective solutions for telecommunications, navigation, Earth observation, environmental management, exploration, science and orbital infrastructures. Governments and private industry alike count on Thales Alenia Space to design

10 février 2024
Communication

Third Newsletter

Robotnik designs, manufactures and markets autonomous mobile robots and manipulators, capable of working autonomously in collaborative environments, sharing space with humans. Its activity in the service robotics

18 janvier 2024

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