Towards Transparent Robotic Planning via Contrastive Explanations

16 Mar 2020 Shenghui Chen Kayla Boggess Lu Feng

Providing explanations of chosen robotic actions can help to increase the transparency of robotic planning and improve users' trust. Social sciences suggest that the best explanations are contrastive, explaining not just why one action is taken, but why one action is taken instead of another... (read more)

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