[en] Abstract—Autonomous systems are often needed to perform
tasks in complex and dynamic environments. For this class of
systems the traditional safety assuring methods are not satisfying
because these systems cannot be analyzed completely during
development phase. In order to realize a more flexible safety
analysis the internal representation of the outside world that is
learned by an autonomous Cognitive Technical System is used to
identify hazardous situations. The so called safety principles are
the hazard knowledge. These can be added to the system prior
to operating time without losing the possibility of adjusting or
expanding this hazard knowledge during operating time. How
these safety principles are generally designed and implemented
is explained in this contribution. Furthermore, as underlying
Cognitive Technical System provides anticipation capabilities it is
possible to expand the planning process in order to take hazard
information into account. Finally, in a simulation example is
shown how the autonomous system determines possible future
actions and evaluates them with regard to hazards in order to
provide a plan with acceptable risk.
VOOS, Holger ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Söffker, Dirk
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Action Planning for Autonomous Systems with respect to Safety Aspects
Date de publication/diffusion :
2010
Nom de la manifestation :
IEEE Int. Conference on Systems Man and Cybernetics (SMC)
Lieu de la manifestation :
Istanbul, Turquie
Date de la manifestation :
2010
Manifestation à portée :
International
Titre de l'ouvrage principal :
IEEE Int. Conference on Systems Man and Cybernetics (SMC), Istanbul, Turkey, 2010
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