A Paradigm for Safe Adaptation of Collaborating Robots

Cioroaica, Emilia, Buhnova, Barbora and Tomur, Emrah (2022) A Paradigm for Safe Adaptation of Collaborating Robots. In: Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022. Proceedings - Symposia on Software Engineering for Adaptive and Self-Managing Systems . Institute of Electrical and Electronics Engineers Inc., USA, pp. 113-119. ISBN 9781450393058

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Abstract

The dynamic forces that transit back and forth traditional boundaries of system development have led to the emergence of digital ecosystems. Within these, business gains are achieved through the development of intelligent control that requires a continuous design and runtime co-engineering process endangered by malicious attacks. The possibility of inserting specially crafted faults capable to exploit the nature of unknown evolving intelligent behavior raises the necessity of malicious behavior detection at runtime.Adjusting to the needs and opportunities of fast AI development within digital ecosystems, in this paper, we envision a novel method and framework for runtime predictive evaluation of intelligent robots' behavior for assuring a cooperative safe adjustment.

Item Type: Book Section
Additional Information: Funding Information: The work was supported This work was supported by the project BIECO (www.bieco.org) that received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 952702 and by ERDF/ESF "CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence" (No. CZ.02.1.01/0.0/0.0/16_019/0000822). Publisher Copyright: © 2022 ACM.
Uncontrolled Keywords: building trust,robots,runtime prediction,safety-critical systems,virtual evaluation,information systems,software,artificial intelligence,information systems and management,control and optimization ,/dk/atira/pure/subjectarea/asjc/1700/1710
Faculty \ School: Faculty of Science > School of Computing Sciences
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Depositing User: LivePure Connector
Date Deposited: 18 Aug 2022 15:30
Last Modified: 24 Sep 2022 08:32
URI: https://ueaeprints.uea.ac.uk/id/eprint/87486
DOI: 10.1145/3524844.3528061

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