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Markov models / Expectation–maximization algorithm / Missing data / Particle filter / Hidden Markov model / Kalman filter / Normal distribution / Maximum likelihood / Inference / Statistics / Estimation theory / Robot control


Probabilistic Movement Modeling for Intention Inference in Human-Robot Interaction Zhikun Wang1,2 , Katharina Mülling1,2 , Marc Peter Deisenroth2 , Heni Ben Amor2 , David Vogt3 , Bernhard Schölkopf1 , and Jan Peters1,2
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Document Date: 2013-02-21 04:12:48

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File Size: 3,84 MB

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City

Freiberg / Darmstadt / Tübingen / /

Country

Germany / /

Facility

Max Planck Institute / /

IndustryTerm

online inference / approximate algorithms / inference algorithm / nonlinear dynamical systems / Online learning / real-time intention inference / online algorithm / post-processing / online intention inference / real-time requirements / robotics applications / decision making systems / approximate inference algorithm / proposed online intention inference algorithm / /

Organization

e.g. / Technische Universität Darmstadt Hochschulstr / Zj / Max Planck Institute for Intelligent Systems Spemannstr / /

Person

Marc Peter / /

Position

biomimetic robot table tennis player / human player / Bishop / representative / player / model for notational simplicity / /

Product

Pentax K-x Digital Camera / Altec XT1 Speakers / /

Technology

approximate inference algorithm / online algorithm / Monte Carlo EM algorithm / proposed algorithm / artificial intelligence / proposed online intention inference algorithm / GPS / inference algorithm / 9 Algorithm / EM algorithm / /

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