| Learning CPG-based biped locomotion with a policy gradient method: Application to a humanoid robot G Endo, J Morimoto, T Matsubara, J Nakanishi, G Cheng The International Journal of Robotics Research 27 (2), 213-228, 2008 | 229 | 2008 |
| Learning CPG-based biped locomotion with a policy gradient method T Matsubara, J Morimoto, J Nakanishi, M Sato, K Doya Robotics and Autonomous Systems 54 (11), 911-920, 2006 | 128 | 2006 |
| Bilinear modeling of EMG signals to extract user-independent features for multiuser myoelectric interface T Matsubara, J Morimoto IEEE Transactions on Biomedical Engineering 60 (8), 2205-2213, 2013 | 121 | 2013 |
| Learning parametric dynamic movement primitives from multiple demonstrations T Matsubara, SH Hyon, J Morimoto Neural networks 24 (5), 493-500, 2011 | 98 | 2011 |
| Reinforcement learning of clothing assistance with a dual-arm robot T Tamei, T Matsubara, A Rai, T Shibata 2011 11th IEEE-RAS International Conference on Humanoid Robots, 733-738, 2011 | 75 | 2011 |
| XoR: Hybrid drive exoskeleton robot that can balance SH Hyon, J Morimoto, T Matsubara, T Noda, M Kawato 2011 IEEE/RSJ International conference on intelligent robots and systems …, 2011 | 68 | 2011 |
| Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation Y Tsurumine, Y Cui, E Uchibe, T Matsubara Robotics and Autonomous Systems 112, 72-83, 2019 | 54 | 2019 |
| Learning stylistic dynamic movement primitives from multiple demonstrations T Matsubara, SH Hyon, J Morimoto 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 41 | 2010 |
| Learning cpg sensory feedback with policy gradient for biped locomotion for a full-body humanoid G Endo, J Morimoto, T Matsubara, J Nakanishi, G Cheng AAAI, 1267-1273, 2005 | 41 | 2005 |
| Learning assistive strategies for exoskeleton robots from user-robot physical interaction M Hamaya, T Matsubara, T Noda, T Teramae, J Morimoto Pattern Recognition Letters 99, 67-76, 2017 | 36 | 2017 |
| Object manifold learning with action features for active tactile object recognition D Tanaka, T Matsubara, K Ichien, K Sugimoto 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 33 | 2014 |
| Optimal feedback control for anthropomorphic manipulators D Mitrovic, S Nagashima, S Klanke, T Matsubara, S Vijayakumar | 31 | 2010 |
| Learning sensory feedback to CPG with policy gradient for biped locomotion T Matsubara, J Morimoto, J Nakanishi, M Sato, K Doya Proceedings of the 2005 IEEE international conference on robotics and …, 2005 | 30 | 2005 |
| Real-time stylistic prediction for whole-body human motions T Matsubara, SH Hyon, J Morimoto Neural Networks 25, 191-199, 2012 | 26 | 2012 |
| Latent Kullback Leibler control for continuous-state systems using probabilistic graphical models T Matsubara, V Gómez, HJ Kappen arXiv preprint arXiv:1406.0993, 2014 | 25 | 2014 |
| Reinforcement learning of a motor skill for wearing a T-shirt using topology coordinates T Matsubara, D Shinohara, M Kidode Advanced Robotics 27 (7), 513-524, 2013 | 24 | 2013 |
| Pneumatic artificial muscle-driven robot control using local update reinforcement learning Y Cui, T Matsubara, K Sugimoto Advanced Robotics 31 (8), 397-412, 2017 | 22 | 2017 |
| Learning and adaptation of a stylistic myoelectric interface: EMG-based robotic control with individual user differences T Matsubara, SH Hyon, J Morimoto 2011 IEEE international conference on robotics and biomimetics, 390-395, 2011 | 21 | 2011 |
| Active tactile exploration with uncertainty and travel cost for fast shape estimation of unknown objects T Matsubara, K Shibata Robotics and Autonomous Systems 91, 314-326, 2017 | 19 | 2017 |
| Full-body exoskeleton robot control for walking assistance by style-phase adaptive pattern generation T Matsubara, A Uchikata, J Morimoto 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2012 | 18 | 2012 |
Jun MorimotoATR Computational Neuroscience LabsVerified email at atr.jp
