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Dokumenttyp:
Misc 
Autor(en):
M. Lang, S. Endo, O. Dunkley and S. Hirche 
Titel:
Object Handover Prediction using Gaussian Processes clustered with Trajectory Classification 
Abstract:
A robotic system which approximates the user intention and appropriate complimentary motion is critical for successful human-robot interaction. Here, we demonstrate robustness of the Gaussian Process (GP) clustered with a stochastic classification technique for trajectory prediction using an object handover scenario. By parametrising real 6D hand movements during human-human object handover using dual quaternions, variations of handover configurations were classified in real-time and then the re...    »
 
Publiziert als:
arXiv preprint: arXiv:1707.02745 
Monat:
Aug 
Jahr:
2014 
Hinweis:
RO-MAN Workshop on Wearable Technology and Human – Wearable Robot Interaction