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• W2100153899 abstract "To be effective team members, it is important for robots to understand the high-level behaviors of collocated humans. This is a challenging perceptual task when both the robots and people are in motion. In this paper, we describe an event-based model for multiple robots to automatically measure synchronous joint action of a group while both the robots and co-present humans are moving. We validated our model through an experiment where two people marched both synchronously and asynchronously, while being followed by two mobile robots. Our results suggest that our model accurately identifies synchronous motion, which can enable more adept human-robot collaboration." @default.
• W2100153899 created "2016-06-24" @default.
• W2100153899 creator A5007752395 @default.
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• W2100153899 date "2015-08-01" @default.
• W2100153899 modified "2023-09-23" @default.
• W2100153899 title "Joint action perception to enable fluent human-robot teamwork" @default.
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• W2100153899 doi "https://doi.org/10.1109/roman.2015.7333671" @default.
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