A paradigm for safe adaptation of collaborating robots

D 2022

A paradigm for safe adaptation of collaborating robots

CIOROAICA, Emilia; Barbora BÜHNOVÁ a Emrah TOMUR

Základní údaje

Originální název

A paradigm for safe adaptation of collaborating robots

Autoři

CIOROAICA, Emilia; Barbora BÜHNOVÁ a Emrah TOMUR

Vydání

New York, USA, SEAMS '22: Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, od s. 113-119, 7 s. 2022

Nakladatel

ACM

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10200 1.2 Computer and information sciences

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14330/22:00126612

Organizační jednotka

Fakulta informatiky

ISBN

978-1-4503-9305-8

ISSN

Klíčová slova anglicky

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

Štítky

core_A, firank_A

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 19. 4. 2024 00:39, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

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.

Návaznosti

CZ.02.1.01/0.0/0.0/16_019/0000822, interní kód MU
(Kód CEP: EF16_019/0000822)

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur (Akronym: C4e)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur, PO 1 Posilování kapacit pro kvalitní výzkum

EF16_019/0000822, projekt VaV

Název: Centrum excelence pro kyberkriminalitu, kyberbezpečnost a ochranu kritických informačních infrastruktur

Citovat

CIOROAICA, Emilia; Barbora BÜHNOVÁ a Emrah TOMUR. A paradigm for safe adaptation of collaborating robots. Online. In SEAMS '22: Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems. New York, USA: ACM, 2022, s. 113-119. ISBN 978-1-4503-9305-8. Dostupné z: https://doi.org/10.1145/3524844.3528061.

@inproceedings{2216145,
   author = {Cioroaica, Emilia and Bühnová, Barbora and Tomur, Emrah},
   address = {New York, USA},
   booktitle = {SEAMS '22: Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems},
   doi = {https://doi.org/10.1145/3524844.3528061},
   keywords = {Virtual Evaluation; Runtime Prediction; Building Trust; Safety-Critical Systems; Robots},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {New York, USA},
   isbn = {978-1-4503-9305-8},
   pages = {113-119},
   publisher = {ACM},
   title = {A paradigm for safe adaptation of collaborating robots},
   year = {2022}
}

TY  - CONF
ID  - 2216145
AU  - Cioroaica, Emilia - Bühnová, Barbora - Tomur, Emrah
PY  - 2022
TI  - A paradigm for safe adaptation of collaborating robots
PB  - ACM
CY  - New York, USA
SN  - 9781450393058
KW  - Virtual Evaluation
KW  - Runtime Prediction
KW  - Building Trust
KW  - Safety-Critical Systems
KW  - Robots
N2  - 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.
ER  -

CIOROAICA, Emilia; Barbora BÜHNOVÁ a Emrah TOMUR. A paradigm for safe adaptation of collaborating robots. Online. In \textit{SEAMS '22: Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems}. New York, USA: ACM, 2022, s.~113-119. ISBN~978-1-4503-9305-8. Dostupné z: https://doi.org/10.1145/3524844.3528061.

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