Human-machine interaction is a major challenge in the development of complex humanoid robots. In addition to verbal communication the use of non-verbal cues such as hand, arm and body gestures or mimics can improve the understanding of the intention of the robot. On the other hand, by perceiving such mechanisms of a human in a typical interaction scenario the humanoid robot can adapt its interaction skills in a better way. In this work, the perception system of two social robots, ROMAN and ROBIN of the RRLAB of the TU Kaiserslautern, is presented in the range of human-robot interaction.
CITATION STYLE
Berns, K., & Zafar, Z. (2018). Emotion based human-robot interaction. In MATEC Web of Conferences (Vol. 161). EDP Sciences. https://doi.org/10.1051/matecconf/201816101001
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