A Model for Time-Synchronized Sensing and Motion to Support Human-Robot Fluency

Abstract

The timing of actions in human-robot interaction (HRI) is important for achieving fluency. In order to accurately sense what people are doing and respond appropriately, it is important that the data captured by a robot and any external sensors are time-synchronized. In this paper, we propose a timing model to handle real-time data capture and processing to… (More)

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