| 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 | 277 | 2008 |
| 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 | 215 | 2013 |
| 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 | 182 | 2019 |
| 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 | 147 | 2006 |
| Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots CC Beltran-Hernandez, D Petit, IG Ramirez-Alpizar, T Nishi, S Kikuchi, ... IEEE Robotics and Automation Letters 5 (4), 5709 - 5716, 2020 | 132 | 2020 |
| Learning parametric dynamic movement primitives from multiple demonstrations T Matsubara, SH Hyon, J Morimoto Neural networks 24 (5), 493-500, 2011 | 132 | 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 | 116 | 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 | 91 | 2011 |
| 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 | 79 | 2017 |
| 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 | 66 | 2010 |
| Scalable reinforcement learning for plant-wide control of vinyl acetate monomer process L Zhu, Y Cui, G Takami, H Kanokogi, T Matsubara Control Engineering Practice 97, 104331, 2020 | 56 | 2020 |
| 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 | 53 | 2005 |
| 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 | 44 | 2013 |
| Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach K Nagatani, M Abe, K Osuka, P Chun, T Okatani, M Nishio, S Chikushi, ... Advanced Robotics 35 (11), 715-722, 2021 | 42 | 2021 |
| 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 | 42 | 2014 |
| 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 | 41 | 2017 |
| Model-based reinforcement learning approach for deformable linear object manipulation H Han, G Paul, T Matsubara 2017 13th IEEE Conference on Automation Science and Engineering (CASE), 750-755, 2017 | 40 | 2017 |
| Autonomous boat driving system using sample‐efficient model predictive control‐based reinforcement learning approach Y Cui, S Osaki, T Matsubara Journal of Field Robotics, 2020 | 38 | 2020 |
| Pneumatic artificial muscle-driven robot control using local update reinforcement learning Y Cui, T Matsubara, K Sugimoto Advanced Robotics 31 (8), 397-412, 2017 | 38 | 2017 |
| Reinforcement learning boat autopilot: a sample-efficient and model predictive control based approach Y Cui, S Osaki, T Matsubara 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 36 | 2019 |
Jun MorimotoKyoto University & ATR Computational Neuroscience LabsVerified email at atr.jp
