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Jun Morimoto

Showing results (11-20 of 70) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|September 19, 2016
Model-based reinforcement learning with dimension reductionVoot Tangkaratt, Jun Morimoto, Masashi Sugiyama
Frontiers in Systems Neuroscience|May 27, 2014
Decoding the ERD/ERS: influence of afferent input induced by a leg assistive robotGiuseppe Lisi, Tomoyuki Noda, Jun Morimoto
Neural Networks : the Official Journal of the International Neural Network Society|June 8, 2020
Phase portraits as movement primitives for fast humanoid robot controlGuilherme Maeda, Okan Koç, Jun Morimoto
Neural Networks : the Official Journal of the International Neural Network Society|October 4, 2011
Real-time stylistic prediction for whole-body human motionsTakamitsu Matsubara, Sang-Ho Hyon, Jun Morimoto
Neural Computation|December 16, 2021
Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical EnvironmentTakeshi D Itoh, Koji Ishihara, Jun Morimoto
Neural Networks : the Official Journal of the International Neural Network Society|February 6, 2013
Extraction of primitive representation from captured human movements and measured ground reaction force to generate physically consistent imitated behaviorsYuka Ariki, Sang-Ho Hyon, Jun Morimoto
Neural Networks : the Official Journal of the International Neural Network Society|March 11, 2011
Learning parametric dynamic movement primitives from multiple demonstrationsTakamitsu Matsubara, Sang-Ho Hyon, Jun Morimoto
Frontiers in Bioengineering and Biotechnology|August 11, 2025
Neural-enhanced motion-to-EMG: refining simulated muscle activity from musculoskeletal models using a Seq2Seq approachTatsuya Teramae, Takamitsu Matsubara, Tomoyuki Noda, et al.
Frontiers in Neurorobotics|June 14, 2019
Assistive Arm-Exoskeleton Control Based on Human Muscular ManipulabilityTadej Petrič, Luka Peternel, Jun Morimoto, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 24, 2004
Reinforcement learning with via-point representationHiroyuki Miyamoto, Jun Morimoto, Kenji Doya, et al.
Pageof 7

Showing results (11-20 of 70) with videos related to

Sort By:
Pageof 7
Neural Networks : the Official Journal of the International Neural Network Society|September 19, 2016
Model-based reinforcement learning with dimension reductionVoot Tangkaratt, Jun Morimoto, Masashi Sugiyama
Frontiers in Systems Neuroscience|May 27, 2014
Decoding the ERD/ERS: influence of afferent input induced by a leg assistive robotGiuseppe Lisi, Tomoyuki Noda, Jun Morimoto
Neural Networks : the Official Journal of the International Neural Network Society|June 8, 2020
Phase portraits as movement primitives for fast humanoid robot controlGuilherme Maeda, Okan Koç, Jun Morimoto
Neural Networks : the Official Journal of the International Neural Network Society|October 4, 2011
Real-time stylistic prediction for whole-body human motionsTakamitsu Matsubara, Sang-Ho Hyon, Jun Morimoto
Neural Computation|December 16, 2021
Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical EnvironmentTakeshi D Itoh, Koji Ishihara, Jun Morimoto
Neural Networks : the Official Journal of the International Neural Network Society|February 6, 2013
Extraction of primitive representation from captured human movements and measured ground reaction force to generate physically consistent imitated behaviorsYuka Ariki, Sang-Ho Hyon, Jun Morimoto
Neural Networks : the Official Journal of the International Neural Network Society|March 11, 2011
Learning parametric dynamic movement primitives from multiple demonstrationsTakamitsu Matsubara, Sang-Ho Hyon, Jun Morimoto
Frontiers in Bioengineering and Biotechnology|August 11, 2025
Neural-enhanced motion-to-EMG: refining simulated muscle activity from musculoskeletal models using a Seq2Seq approachTatsuya Teramae, Takamitsu Matsubara, Tomoyuki Noda, et al.
Frontiers in Neurorobotics|June 14, 2019
Assistive Arm-Exoskeleton Control Based on Human Muscular ManipulabilityTadej Petrič, Luka Peternel, Jun Morimoto, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 24, 2004
Reinforcement learning with via-point representationHiroyuki Miyamoto, Jun Morimoto, Kenji Doya, et al.
Pageof 7