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Adaptation of the level of automation according to the type of cooperative partner

Abstract : In highly dynamic domains like mobile robotics, it is essential to keep human in the control loop of the process and to maintain his/her situation awareness through adequate levels of automation. Our paper is focused on how to better match human and machine capabilities defining adaptive levels of automation. A method based on human-machine cooperation concepts which allow designing different possible human-machine interactions is used in order to identify different adaptive levels of automation. We present our approach to control the cooperation among the agents on use cases in the crisis management domain with firefighters and robots. Three types of agents take place in the scenario, human supervisor, firefighter with smart garment and robots. At the operational level, the robots and firefighter have to cooperate together and with the human supervisor in order to achieve a common goal. The human supervisor is at the tactical level; he/she can observe the situation, make decision about the process and send instructions to the robots using a visual support in which large amounts of information are presented. The proposed approach helps the agents to better organize their cooperative actions.
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https://hal-uphf.archives-ouvertes.fr/hal-03412472
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Submitted on : Wednesday, November 3, 2021 - 9:32:19 AM
Last modification on : Thursday, November 4, 2021 - 4:07:52 AM

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Lydia Habib, Marie-Pierre Pacaux-Lemoine, Patrick Millot. Adaptation of the level of automation according to the type of cooperative partner. 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC), Oct 2017, Banff, AB, Canada. pp.864-869, ⟨10.1109/SMC.2017.8122718⟩. ⟨hal-03412472⟩

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