Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Sauser, Eric L."'
Publikováno v:
In Robotics and Autonomous Systems 2012 60(1):55-71
Autor:
Sauser, Eric L., Billard, Aude G.
Publikováno v:
In Neural Networks 2006 19(3):285-298
Autor:
Sauser, Eric L. *, Billard, Aude G.
Publikováno v:
In Neurocomputing 2005 64:5-24
Autor:
Sauser, Eric L.1 eric.sauser@a3.epfl.ch, Billard, Aude G.1
Publikováno v:
Biological Cybernetics. Dec2006, Vol. 95 Issue 6, p567-588. 22p. 5 Diagrams, 2 Charts, 7 Graphs.
The development of behaviors for robot motion control is fundamental for robot operation in physical environments, yet is challenged by many factors such as sensor noise and approximate actuation models. Techniques like demonstration learning, that s
Akademický článek
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Autor:
Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, de Sá, Joaquim Marques, Alexandre, Luís A., Duch, Włodzisław, Mandic, Danilo, Sauser, Eric L.
Publikováno v:
Artificial Neural Networks - ICANN 2007; 2007, p768-778, 11p
We present a probabilistic approach to learn robust models of human motion through imitation. The association of Hidden Markov Model (HMM), Gaussian Mixture Regression (GMR) and dynamical systems allows us to extract redundancies across multiple demo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::e4e845def6b4d46da84619ae4be5ec3c
https://infoscience.epfl.ch/record/143502
https://infoscience.epfl.ch/record/143502
This work considers our approach to robot motion control learning from the standpoint of multiple data sources. Our paradigm derives data from human teachers providing task demonstrations and tactile corrections for policy refinement and reuse. We co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::a0ef778a461f8b1f717a70a93d72f159
https://infoscience.epfl.ch/record/143459
https://infoscience.epfl.ch/record/143459