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Norikazu Sugimoto

Showing results (1-10 of 5) with videos related to

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Frontiers in Robotics and AI|December 15, 2023
Curriculum-based humanoid robot identification using large-scale human motion databaseSunhwi Kang, Koji Ishihara, Norikazu Sugimoto, et al.
Neural Computation|December 16, 2011
MOSAIC for multiple-reward environmentsNorikazu Sugimoto, Masahiko Haruno, Kenji Doya, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 28, 2012
The eMOSAIC model for humanoid robot controlNorikazu Sugimoto, Jun Morimoto, Sang-Ho Hyon, et al.
Frontiers in Systems Neuroscience|August 21, 2014
Brain-machine interfacing control of whole-body humanoid motionKarim Bouyarmane, Joris Vaillant, Norikazu Sugimoto, et al.
Experimental Brain Research|April 18, 2007
Explicit contextual information selectively contributes to predictive switching of internal modelsHiroshi Imamizu, Norikazu Sugimoto, Rieko Osu, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Frontiers in Robotics and AI|December 15, 2023
Curriculum-based humanoid robot identification using large-scale human motion databaseSunhwi Kang, Koji Ishihara, Norikazu Sugimoto, et al.
Neural Computation|December 16, 2011
MOSAIC for multiple-reward environmentsNorikazu Sugimoto, Masahiko Haruno, Kenji Doya, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 28, 2012
The eMOSAIC model for humanoid robot controlNorikazu Sugimoto, Jun Morimoto, Sang-Ho Hyon, et al.
Frontiers in Systems Neuroscience|August 21, 2014
Brain-machine interfacing control of whole-body humanoid motionKarim Bouyarmane, Joris Vaillant, Norikazu Sugimoto, et al.
Experimental Brain Research|April 18, 2007
Explicit contextual information selectively contributes to predictive switching of internal modelsHiroshi Imamizu, Norikazu Sugimoto, Rieko Osu, et al.
Pageof 1