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- W4323537215 abstract "With the rise in the number of robots in our daily lives, human-robot encounters will become more frequent. To improve human-robot interaction (HRI), people will require explanations of robots' actions, especially if they do something unexpected. Our focus is on robot navigation, where we explain why robots make specific navigational choices. Building on methods from the area of Explainable Artificial Intelligence (XAI), we employ a semantic map and techniques from the area of Qualitative Spatial Reasoning (QSR) to enrich visual explanations with knowledge-level spatial information. We outline how a robot can generate visual and textual explanations simultaneously and test our approach in simulation." @default.
- W4323537215 created "2023-03-09" @default.
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- W4323537215 date "2023-03-13" @default.
- W4323537215 modified "2023-10-17" @default.
- W4323537215 title "Visuo-Textual Explanations of a Robot's Navigational Choices" @default.
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- W4323537215 doi "https://doi.org/10.1145/3568294.3580141" @default.
- W4323537215 hasPublicationYear "2023" @default.
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