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Analyse de Risques en Robotique : Apports de la Conscience de Situation

Abstract : Although strict design standards have been developed for robotics, using robots within industrial environments leads to accidents involving operators, sometimes resulting in fatalities. In order to address this situation, this paper proposes a new risk analysis method for robotics based on the Endsley’s situationawareness model, and its demons impeding the situation awareness. Categorizing accidents with robots in industrial environments (INRS database) lead to identifying that 3 specific demons are involved in 90% of reported accidents (N=44): “out-of-the-loop”, “errant mental model” and “attentional tunneling”. A Bayesian network is used to determine risks probabilities. In addition, specific recommendations are made to improve situation awareness and reduce the risks.
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Conference papers
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Contributor : Jean-Marc Salotti Connect in order to contact the contributor
Submitted on : Thursday, January 21, 2021 - 4:27:36 PM
Last modification on : Monday, November 22, 2021 - 2:40:08 PM
Long-term archiving on: : Thursday, April 22, 2021 - 7:42:53 PM


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  • HAL Id : hal-03117894, version 1


Charles Fage, Jean-Marc Salotti. Analyse de Risques en Robotique : Apports de la Conscience de Situation. SELF 2021 - 55ème congrès de la Société d'Ergonomie de Langue Française, Jan 2021, Paris / Virtuelle, France. ⟨hal-03117894⟩



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