Model-based development (MBD) is gaining widespread acceptance as a design technique in robotics. Not only it eases the work of developers and makes software deployment faster than traditional code-based approaches, but it also enables the application of formal methods without the need of specific training for developers. In particular, (off-line) automated verification is known to improve the quality of software and enable early recognition of hard-to-find bugs whereas (on-line) monitoring helps to close the reality-gap by running either on simulators or actual hardware. In this paper we present a comprehensive approach to MBD, verification, and monitoring that enables developers to design robust control software by featuring both off- and on-line checks in a push-button fashion, i.e., one where all the complexity of formal methods is hidden under the hood of the development tools.

Model-based Verification and Monitoring for Safe and Responsive Robots / Bernagozzi, S.; Faraci, S.; Ghiorzi, E.; Pedemonte, K.; Ferrando, A.; Natale, L.; Tacchella, A.. - (2025), pp. 1-6. ( 2025 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2025 Palermo, ITALY APR 14-18, 2025) [10.1109/SIMPAR62925.2025.10979077].

Model-based Verification and Monitoring for Safe and Responsive Robots

Ferrando A.;
2025

Abstract

Model-based development (MBD) is gaining widespread acceptance as a design technique in robotics. Not only it eases the work of developers and makes software deployment faster than traditional code-based approaches, but it also enables the application of formal methods without the need of specific training for developers. In particular, (off-line) automated verification is known to improve the quality of software and enable early recognition of hard-to-find bugs whereas (on-line) monitoring helps to close the reality-gap by running either on simulators or actual hardware. In this paper we present a comprehensive approach to MBD, verification, and monitoring that enables developers to design robust control software by featuring both off- and on-line checks in a push-button fashion, i.e., one where all the complexity of formal methods is hidden under the hood of the development tools.
2025
2025 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2025
Palermo, ITALY
APR 14-18, 2025
1
6
Bernagozzi, S.; Faraci, S.; Ghiorzi, E.; Pedemonte, K.; Ferrando, A.; Natale, L.; Tacchella, A.
Model-based Verification and Monitoring for Safe and Responsive Robots / Bernagozzi, S.; Faraci, S.; Ghiorzi, E.; Pedemonte, K.; Ferrando, A.; Natale, L.; Tacchella, A.. - (2025), pp. 1-6. ( 2025 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2025 Palermo, ITALY APR 14-18, 2025) [10.1109/SIMPAR62925.2025.10979077].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1383128
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