Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Stéphane Zieba"'
Publikováno v:
In IFAC Proceedings Volumes 2007 40(16):101-106
Autor:
Frédéric Vanderhaegen, Stéphane Zieba
Publikováno v:
Information Sciences. 276:146-159
This paper defines learning systems that contribute to the incremental building of knowledge to optimize the prediction of human actions. Two modes of knowledge building are proposed: merged approach and cumulative approach. In a merged learning syst
Publikováno v:
Reliability Engineering & System Safety. 96:757-766
This paper proposes an original model for interpreting human errors, mainly violations, in terms of benefits, costs and potential deficits. This BCD model is then used as an input framework to learn from human errors, and two systems based on this mo
Publikováno v:
Information Sciences. 181:379-397
This study concerns autonomous ground vehicles performing missions of observation or surveillance. These missions are accomplished under the supervision of human operators, who can also remotely control the unmanned vehicle. This kind of human-machin
Publikováno v:
IFAC HMS
This paper presents a framework for designing natural and sensible human-machine collaborations in the ITS domain. This framework uses the concept of affordances to manage the resolution of conflicts between agents that arise from their difference of
Publikováno v:
IFAC HMS
This paper addresses the topic of learning in resilient systems, and more especially human-machine systems. Resilient systems aim at managing the occurrence of perturbations by taking into consideration their past experiences, either successes or fai
Publikováno v:
IFAC HMS
This paper proposes a new alternative to identify and predict intentional human errors based on the consequences of human behaviors. It develops an iterative learning system integrating two main functions. A similarity function aims at comparing an i
Publikováno v:
Cognition, Technology & Work. 12:193-203
Unmanned ground vehicles tend to be more and more autonomous, but both complete teleoperation and full autonomy are not efficient enough to deal with all possible situations. To be efficient, the human–robot system must be able to anticipate, react
Publikováno v:
Engineering Applications of Artificial Intelligence. 22:654-659
This paper proposes a reinforced iterative formalism to learn from intentional human errors called barrier removal and from uncertainty on human-error parameters. Barrier removal consists in misusing a safety barrier that human operators are supposed
Publikováno v:
Fusion Engineering and Design
Fusion Engineering and Design, Elsevier, 2013, 88 (9-10), pp.2067-2072. ⟨10.1016/j.fusengdes.2013.02.088⟩
Fusion Engineering and Design, 2013, 88 (9-10), pp.2067-2072. ⟨10.1016/j.fusengdes.2013.02.088⟩
Fusion Engineering and Design, Elsevier, 2013, 88 (9-10), pp.2067-2072. ⟨10.1016/j.fusengdes.2013.02.088⟩
Fusion Engineering and Design, 2013, 88 (9-10), pp.2067-2072. ⟨10.1016/j.fusengdes.2013.02.088⟩
International audience; This paper concerns the improvement of supervisory control systems in the context of remote handling for the maintenance tasks in ITER. This work aims at providing a single formalism and tools to define in a generic way the IT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc9a0ba5de2c45bea70891c2794d7d23
https://hal-cea.archives-ouvertes.fr/cea-01831849
https://hal-cea.archives-ouvertes.fr/cea-01831849