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Takamitsu Matsubara
Takamitsu Matsubara
Nara Institute of Science and Technology
Подтвержден адрес электронной почты в домене is.naist.jp - Главная страница
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Процитировано
Год
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
2802008
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
2172013
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
1912019
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
1502006
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
1452020
Learning parametric dynamic movement primitives from multiple demonstrations
T Matsubara, SH Hyon, J Morimoto
Neural networks 24 (5), 493-500, 2011
1332011
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
1192011
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
922011
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
842017
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
672010
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
612020
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
522005
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
482021
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
452013
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
442020
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
432017
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
422014
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
402017
Pneumatic artificial muscle-driven robot control using local update reinforcement learning
Y Cui, T Matsubara, K Sugimoto
Advanced Robotics 31 (8), 397-412, 2017
392017
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
372019
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