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- W4224853204 abstract "Abstract Understanding why a robot's behaviour was triggered is a growing concern to get human‐acceptable social robots. Every action, expected and unexpected, should be able to be explained and audited. The formal model proposed here deals with different information levels, from low‐level data, such as sensors' data logging; to high‐level data that provide an explanation of the robot's behaviour. This study examines the impact on the robot system of a custom log engine based on a custom ROS logging node and investigates pros and cons when used together with a NoSQL database locally and in a cloud environment. Results allow to characterize these alternatives and explore the best strategy for offering a fully log‐based accountability engine that maximizes the mapping between robot behaviour and robot logs." @default.
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- W4224853204 date "2022-04-25" @default.
- W4224853204 modified "2023-10-01" @default.
- W4224853204 title "Towards explainability in robotics: A performance analysis of a cloud accountability system" @default.
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- W4224853204 doi "https://doi.org/10.1111/exsy.13004" @default.
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