A random forest application to contact-state classification for robot programming by human demonstration

This paper addresses the non‐parametric estimation of the stochastic process related to the classification problem that arises in robot programming by demonstration of compliant motion tasks. Robot programming by demonstration is a robot programming paradigm in which a human operator demonstrates th...

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Veröffentlicht in:	Applied stochastic models in business and industry 2016-03, Vol.32 (2), p.209-227
Hauptverfasser:	Cabras, S., Castellanos, M. E., Staffetti, E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Business Classification Classifiers Contact multi-class contact classification Programming Robots sensor force analysis supervised learning Tasks
Online-Zugang:	Volltext
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