A Paradigm for Safe Adaptation of Collaborating Robots

Emilia Cioroaica, Barbora Buhnova, Emrah Tomur

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.

Original languageEnglish
Title of host publicationProceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages113-119
Number of pages7
ISBN (Electronic)9781450393058
DOIs
Publication statusPublished - 15 Aug 2022
Event17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022 - Pittsburgh, United States
Duration: 18 May 202220 May 2022

Publication series

NameProceedings - Symposia on Software Engineering for Adaptive and Self-Managing Systems

Conference

Conference17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022
Country/TerritoryUnited States
CityPittsburgh
Period18/05/2220/05/22

Keywords

  • Building Trust
  • Robots
  • Runtime Prediction
  • Safety-Critical Systems
  • Virtual Evaluation

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