IROS 2015Poster

Analysis and semantic modeling of modality preferences in industrial human-robot interaction

作者: Stefan Profanter, Alexander Perzylo, Nikhil Somani, Markus Rickert, Alois Knoll

摘要

Intuitive programming of industrial robots is especially important for small and medium-sized enterprises. We evaluated four different input modalities (touch, gesture, speech, 3D tracking device) regarding their preference, usability, and intuitiveness for robot programming.

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