Takamitsu Matsubara

发表

Application of Soft Q-learning to Maze Solving Probrem and Verification of Policy Compositionality

Takamitsu Matsubara, Junki Matsuoka, Yoshihisa Tsurumine, 2019 .

Motion Tablet : An Interface of Whole Body Motion Synthesis for Humanoid Robots with Dimentionality Reduction Methods

Takamitsu Matsubara, Ayato Iba, Masatsugu Kidode, 2012 .

Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion

Jun Morimoto, Jun Nakanishi, Takamitsu Matsubara, 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

Learning CPG-based biped locomotion with a policy gradient method

Jun Morimoto, Jun Nakanishi, Takamitsu Matsubara, 2005, Humanoids.

Walking pattern prediction with partial observation for partial walking assistance by using an exoskeleton system

Jun Morimoto, Takamitsu Matsubara, Tamim Asfour, 2015, 2015 IEEE International Conference on Rehabilitation Robotics (ICORR).

Object manifold learning with action features for active tactile object recognition

Takamitsu Matsubara, Kenji Sugimoto, Daisuke Tanaka, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Learning from demonstration for locally assistive mobility aids

Takamitsu Matsubara, James Poon, Yunduan Cui, 2019, International Journal of Intelligent Robotics and Applications.

Imitation Learning of Deformable Object Manipulation with Entropy-maximizing Dynamic Policy Programming

Takamitsu Matsubara, Yoshihisa Tsurumine, Cui Yunduan, 2019 .

Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states

Takamitsu Matsubara, Kenji Sugimoto, Yunduan Cui, 2017, Neural Networks.

Learning assistive strategies for exoskeleton robots from user-robot physical interaction

Jun Morimoto, Takamitsu Matsubara, Tatsuya Teramae, 2017, Pattern Recognit. Lett..

Spatiotemporal synchronization of biped walking patterns with multiple external inputs by style–phase adaptation

Jun Morimoto, Takamitsu Matsubara, Akimasa Uchikata, 2015, Biological Cybernetics.

On-line Human Motion prediction with Gaussian Process Dynamical Models for Human-Robot Interaction

Jun Morimoto, Takamitsu Matsubara, Sang-Ho Hyon, 2005 .

Special issue on artificial intelligence and machine learning for robotic manipulation

Takamitsu Matsubara, Oliver Kroemer, Kensuke Harada, 2019, Adv. Robotics.

Multimodal Policy Search using Overlapping Mixtures of Sparse Gaussian Process Prior

Hikaru Sasaki, Takamitsu Matsubara, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Reinforcement learning of a motor skill for wearing a T-shirt using topology coordinates

Takamitsu Matsubara, Masatsugu Kidode, Daisuke Shinohara, 2013, Adv. Robotics.

An approach to realistic physical simulation of digitally captured deformable linear objects

Kimitoshi Yamazaki, Takamitsu Matsubara, Nahum Álvarez, 2016, 2016 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR).

Probabilistic active filtering with gaussian processes for occluded object search in clutter

Takamitsu Matsubara, Yunduan Cui, Jun’ichiro Ooga, 2020, Applied Intelligence.

Classification of oceanwave conditions using Support Vector Machine

Takamitsu Matsubara, Kenji Sugimoto, Maricris Cuison Marimon, 2014, Proceedings of the 33rd Chinese Control Conference.

Learning Control Policies by Reinforcement Learning: —A Tool to Close Open Problems—

Takamitsu Matsubara, 2018 .

System Identification with Input-Output Manifold Learning

Takamitsu Matsubara, Kenji Sugimoto, Daisuke Tanaka, 2013 .

Variational Learning Approach for Sparse Pseudo-input Gaussian Process Policy Search

Hikaru Sasaki, Takamitsu Matsubara, Yuto Ozawa, 2018 .

Style-phase adaptation of human and humanoid biped walking patterns in real systems

Jun Morimoto, Takamitsu Matsubara, Tatsuya Teramae, 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

Optimal Feedback Control for anthropomorphic manipulators

Takamitsu Matsubara, Sethu Vijayakumar, Djordje Mitrovic, 2010, 2010 IEEE International Conference on Robotics and Automation.

XoR: Hybrid drive exoskeleton robot that can balance

Jun Morimoto, Takamitsu Matsubara, Mitsuo Kawato, 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

User-robot collaborative excitation for PAM model identification in exoskeleton robots

Jun Morimoto, Takamitsu Matsubara, Tatsuya Teramae, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning Robot Dynamics from Raw Image Time Series using Kalman Variational Auto-Encoders

Takamitsu Matsubara, Yoshihisa Tsurumine, Takumi Kaneko, 2018 .

Learning a dynamic policy by using policy gradient: application to biped walking

Jun Morimoto, Jun Nakanishi, Takamitsu Matsubara, 2007, Syst. Comput. Jpn..

Reinforcement learning of clothing assistance with a dual-arm robot

Takamitsu Matsubara, Tomohiro Shibata, Akshara Rai, 2011, 2011 11th IEEE-RAS International Conference on Humanoid Robots.

Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning

Takamitsu Matsubara, Yunduan Cui, Lingwei Zhu, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Contact-based in-hand pose estimation using Bayesian state estimation and particle filtering

Takamitsu Matsubara, Felix Von Drigalski, Kazutoshi Tanaka, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Robust shape estimation with false-positive contact detection

Takamitsu Matsubara, Kazuki Shibata, Tatsuya Miyano, 2020, Robotics Auton. Syst..

An optimal control approach for hybrid actuator system

Jun Morimoto, Takamitsu Matsubara, Tomoyuki Noda, 2011, 2011 11th IEEE-RAS International Conference on Humanoid Robots.

Probabilistic Pose Estimation of Deformable Linear Objects

Takamitsu Matsubara, Gavin Paul, Haifeng Han, 2018, 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).

Learning Stepping Motions for Fall Avoidance with Reinforcement Learning

Jun Morimoto, Takamitsu Matsubara, Joshua G. Hale, 2009 .

Learning CPG-based Biped Locomotion with a Policy Gradient Method: Application to a Humanoid Robot

Jun Morimoto, Gen Endo, Jun Nakanishi, 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

Generative Adversarial Imitation Learning using Dynamic Policy Programming and Its Applications

Takamitsu Matsubara, Yoshihisa Tsurumine, 2020 .

Learning CPG Sensory Feedback with Policy Gradient for Biped Locomotion for a Full-Body Humanoid

Jun Morimoto, Gen Endo, Jun Nakanishi, 2005, AAAI.

Learning Basis Representations of Inverse Dynamics Models for Real-Time Adaptive Control

Takamitsu Matsubara, Masatsugu Kidode, Yasuhito Horiguchi, 2010, ICONIP.

Model-based reinforcement learning approach for deformable linear object manipulation

Takamitsu Matsubara, Gavin Paul, Haifeng Han, 2017, 2017 13th IEEE Conference on Automation Science and Engineering (CASE).

Real-time estimation of Human-Cloth topological relationship using depth sensor for robotic clothing assistance

Takamitsu Matsubara, Nishanth Koganti, Tomohiro Shibata, 2014, The 23rd IEEE International Symposium on Robot and Human Interactive Communication.

Input-Output Manifold Learning with State Space Models

Takamitsu Matsubara, Kenji Sugimoto, Daisuke Tanaka, 2016, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots

Takamitsu Matsubara, Kensuke Harada, Shinichi Kikuchi, 2020, IEEE Robotics and Automation Letters.

Pneumatic artificial muscle-driven robot control using local update reinforcement learning

Takamitsu Matsubara, Kenji Sugimoto, Yunduan Cui, 2017, Adv. Robotics.

Bayesian Optimisation of Exoskeleton Design Parameters

Jun Morimoto, Takamitsu Matsubara, Sethu Vijayakumar, 2018, 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob).

Model-based RL with High Dimensional Observations using MPPI and Deep Path-cost Predictor

Takamitsu Matsubara, Yoshihisa Tsurumine, Kimiko Motonaka, 2019 .

Learning parametric dynamic movement primitives from multiple demonstrations

Jun Morimoto, Takamitsu Matsubara, Sang-Ho Hyon, 2011, Neural Networks.

Real-time stylistic prediction for whole-body human motions

Jun Morimoto, Takamitsu Matsubara, Sang-Ho Hyon, 2012, Neural Networks.

Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation

Takamitsu Matsubara, Yoshihisa Tsurumine, Yunduan Cui, 2019, Robotics Auton. Syst..

Learning assistive strategies from a few user-robot interactions: Model-based reinforcement learning approach

Jun Morimoto, Takamitsu Matsubara, Tatsuya Teramae, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Reinforcement learning of shared control for dexterous telemanipulation: Application to a page turning skill

Takamitsu Matsubara, Kenji Sugimoto, Takahiro Hasegawa, 2015, 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Learning CPG-based biped locomotion with a policy gradient method

Jun Morimoto, Jun Nakanishi, Takamitsu Matsubara, 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

Latent Kullback-Leibler control for dynamic imitation learning of whole-body behaviors in humanoid robots

Takamitsu Matsubara, Sang-Ho Hyon, Yuka Ariki, 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

Active tactile exploration with uncertainty and travel cost for fast shape estimation of unknown objects

Takamitsu Matsubara, Kotaro Shibata, Takamitsu Matsubara, 2017, Robotics Auton. Syst..

Scalable reinforcement learning for plant-wide control of vinyl acetate monomer process

Takamitsu Matsubara, Yunduan Cui, Go Takami, 2020 .

An Acquisition of Folding Ability of Cloth Products Using Chest Based on Observation of Teaching Demonstration of a Human Being

Kimitoshi Yamazaki, Takamitsu Matsubara, Yaqiang Mo, 2019 .

Local driving assistance from demonstration for mobility aids

Jaime Valls Miró, Takamitsu Matsubara, Kenji Sugimoto, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Learning Parametric Dynamic Movement Primitives from Multiple Demonstrations

Jun Morimoto, Takamitsu Matsubara, Sang-Ho Hyon, 2010, ICONIP.

Learning discriminative intention predictors for sit-to-stand assistance

Takamitsu Matsubara, Kenji Sugimoto, Tsuyoshi Inoue, 2017, 2017 IEEE/SICE International Symposium on System Integration (SII).

Reinforcement Learning Ship Autopilot: Sample-efficient and Model Predictive Control-based Approach pdf

Takamitsu Matsubara, Yunduan Cui, Shigeki Osaki, 2019, ArXiv.

Local Update Dynamic Policy Programming in reinforcement learning of pneumatic artificial muscle-driven humanoid hand control

Takamitsu Matsubara, Kenji Sugimoto, Yunduan Cui, 2015, 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids).

Kullback Leibler control approach to rubber band manipulation

Kimitoshi Yamazaki, Takamitsu Matsubara, Masaki Murase, 2017, 2017 IEEE/SICE International Symposium on System Integration (SII).

Policy Transfer from Simulations to Real World by Transfer Component Analysis

Takamitsu Matsubara, Yunduan Cui, Yuto Ozawa, 2018, 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).

Learning and adaptation of a Stylistic Myoelectric Interface: EMG-based robotic control with individual user differences

Jun Morimoto, Takamitsu Matsubara, Sang-Ho Hyon, 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

Uncertainty-aware Contact-safe Model-based Reinforcement Learning pdf

Takamitsu Matsubara, Tamim Asfour, Yunduan Cui, 2020, ArXiv.

Combining Model Predictive Path Integral with Kalman Variational Auto-encoder for Robot Control from Raw Images

Hikaru Sasaki, Takamitsu Matsubara, Yoshihisa Tsurumine, 2020, 2020 IEEE/SICE International Symposium on System Integration (SII).

Enhancing humanoid learning abilities : scalable learning through task-relevant features

Takamitsu Matsubara, 2007 .

Folding Behavior Acquisition of A Shirt Placed on the Chest of a Dual-Arm Robot*

Kimitoshi Yamazaki, Takamitsu Matsubara, Yaqiang Mo, 2018, 2018 IEEE International Conference on Information and Automation (ICIA).

Probabilistic Active Filtering for Object Search in Clutter

Takamitsu Matsubara, James Poon, Yunduan Cui, 2019, 2019 International Conference on Robotics and Automation (ICRA).

器用な遠隔マニピュレーションのための共有制御方策の強化学習;器用な遠隔マニピュレーションのための共有制御方策の強化学習;Reinforcement Learning of Shared Control Policies for Dexterous Telemanipulation

Takamitsu Matsubara, Kenji Sugimoto, Takahiro Hasegawa, 2016 .

Environment-adaptive interaction primitives for human-robot motor skill learning

Kimitoshi Yamazaki, Jaime Valls Miró, Takamitsu Matsubara, 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

Data-efficient human training of a care motion controller for human transfer assistant robots using Bayesian optimization

Takamitsu Matsubara, Tsukasa Ogasawara, Kenji Sugimoto, 2016, 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob).

Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation

Kimitoshi Yamazaki, Takamitsu Matsubara, Yoshihisa Tsurumine, 2019, 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids).

Optimal Control Approach for Active Local Driving Assistance in Mobility Aids

Takamitsu Matsubara, Kenji Sugimoto, Yunduan Cui, 2016 .

Learning biped locomotion with a dynamic policy

Jun Morimoto, Jun Nakanishi, Takamitsu Matsubara, 2004 .

Learning Parametric Inverse Dynamics Models from multiple conditions for fast adaptive computed torque control

Takamitsu Matsubara, Masatsugu Kidode, Yasuhito Horiguchi, 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

Sample-and-computation-efficient Probabilistic Model Predictive Control with Random Features

Takamitsu Matsubara, Yunduan Cui, Cheng-Yu Kuo, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

An optimal control approach for exploratory actions in active tactile object recognition

Takamitsu Matsubara, Kenji Sugimoto, Daisuke Tanaka, 2014, 2014 IEEE-RAS International Conference on Humanoid Robots.

Sequential intention estimation of a mobility aid user for intelligent navigational assistance

Takamitsu Matsubara, Jaime Valls Miro, James Poon, 2015, 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).

Learning Stylistic Dynamic Movement Primitives from multiple demonstrations

Jun Morimoto, Takamitsu Matsubara, Sang-Ho Hyon, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Task-adaptive inertial parameter estimation of rigid-body dynamics with modeling error for model-based control using covariate shift adaptation

Takamitsu Matsubara, Hiroaki Takada, Kenji Sugimoto, 2014, 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

Reinforcement Learning Boat Autopilot: A Sample-efficient and Model Predictive Control based Approach

Takamitsu Matsubara, Yunduan Cui, Shigeki Osaki, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning Contact-Rich Manipulation Tasks with Rigid Position-Controlled Robots: Learning to Force Control pdf

Takamitsu Matsubara, Kensuke Harada, Shinichi Kikuchi, 2020, ArXiv.

Learning to Acquire Whole-Body Humanoid Center of Mass Movements to Achieve Dynamic Tasks

Jun Morimoto, Jun Nakanishi, Gordon Cheng, 2008, Adv. Robotics.

Environment-adaptive interaction primitives through visual context for human–robot motor skill learning

Kimitoshi Yamazaki, Jaime Valls Miró, Takamitsu Matsubara, 2018, Autonomous Robots.

Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control

Takamitsu Matsubara, Yunduan Cui, Lingwei Zhu, 2018, 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).

Learning motor skills with non-rigid materials by reinforcement learning

Takamitsu Matsubara, Masatsugu Kidode, Daisuke Shinohara, 2011, 2011 IEEE International Conference on Robotics and Biomimetics.

Full-body exoskeleton robot control for walking assistance by style-phase adaptive pattern generation

Jun Morimoto, Takamitsu Matsubara, Akimasa Uchikata, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Estimation of Human Cloth Topological Relationship using Depth Sensor for Robotic Clothing Assistance

Takamitsu Matsubara, Nishanth Koganti, Tomohiro Shibata, 2013, AIR '13.

A Learning Method for Nonlinear Dynamical Motor Primitives from a Variety of Nominal Trajectories : Application to Robot Learning from Demonstration

Jun Morimoto, Takamitsu Matsubara, Sang-Ho Hyon, 2010 .

Bilinear Modeling of EMG Signals to Extract User-Independent Features for Multiuser Myoelectric Interface

Jun Morimoto, Takamitsu Matsubara, J. Morimoto, 2013, IEEE Transactions on Biomedical Engineering.

Learning Mobility Aid Assistance via Decoupled Observation Models

Jaime Valls Miró, Takamitsu Matsubara, Yunduan Cui, 2018, 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV).

Learning to acquire whole-body humanoid CoM movements to achieve dynamic tasks

Jun Morimoto, Jun Nakanishi, Gordon Cheng, 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

Kernel dynamic policy programming: Practical reinforcement learning for high-dimensional robots

Takamitsu Matsubara, Kenji Sugimoto, Yunduan Cui, 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

Generation of comfortable lifting motion for a human transfer assistant robot

Takamitsu Matsubara, Ryojun Ikeura, Tsukasa Ogasawara, 2016, International Journal of Intelligent Robotics and Applications.

Learning Food-arrangement Policies from Raw Images with Generative Adversarial Imitation Learning

Takamitsu Matsubara, Sadao Kawamura, Yoshihisa Tsurumine, 2020, 2020 17th International Conference on Ubiquitous Robots (UR).

Quaternion-Based Trajectory Optimization of Human Postures for Inducing Target Muscle Activation Patterns

Jun Morimoto, Takamitsu Matsubara, Tatsuya Teramae, 2020, IEEE Robotics and Automation Letters.

Spatio-temporal synchronization of periodic movements by style-phase adaptation: Application to biped walking

Jun Morimoto, Takamitsu Matsubara, Akimasa Uchikata, 2012, 2012 IEEE International Conference on Robotics and Automation.

Exploiting Visual-Outer Shape for Tactile-Inner Shape Estimation of Objects Covered with Soft Materials

Hikaru Sasaki, Takamitsu Matsubara, Tomoya Miyamoto, 2020, IEEE Robotics and Automation Letters.

Autonomous boat driving system using sample‐efficient model predictive control‐based reinforcement learning approach

Takamitsu Matsubara, Cui Yunduan, Shigeki Osaki, 2020, J. Field Robotics.

Ensuring Monotonic Policy Improvement in Entropy-regularized Value-based Reinforcement Learning pdf

Takamitsu Matsubara, Lingwei Zhu, 2020, ArXiv.

Graduate Curriculum of Robot Education Centered on Project based Learning

Takamitsu Matsubara, Tsukasa Ogasawara, Jun Takamatsu, 2016 .

Hanging work of T-shirt in consideration of deformability and stretchability

Solvi Arnold, Kimitoshi Yamazaki, Takamitsu Matsubara, 2017, 2017 IEEE International Conference on Information and Automation (ICIA).

Biomechanical Energy Harvester with Continuously Variable Transmission: Prototyping and Preliminary Evaluation

Takamitsu Matsubara, Taisuke Kobayashi, Yutaro Ikawa, 2018, 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM).

Learning Deep Dynamical Models of a Waste Incineration Plant from In-furnace Images and Process Data

Takamitsu Matsubara, Yoshihisa Tsurumine, James Poon, 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).

Learning task-parametrized assistive strategies for exoskeleton robots by multi-task reinforcement learning

Jun Morimoto, Takamitsu Matsubara, Tatsuya Teramae, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

Adaptive Step-size Policy Gradients with Average Reward Metric

Jun Morimoto, Takamitsu Matsubara, Tetsuro Morimura, 2010, ACML.

Deep dynamic policy programming for robot control with raw images

Takamitsu Matsubara, Yoshihisa Tsurumine, Yunduan Cui, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Bayesian Policy Optimization for Waste Crane With Garbage Inhomogeneity

Hikaru Sasaki, Takamitsu Matsubara, Yukio Onuki, 2020, IEEE Robotics and Automation Letters.

Highly Precise Dynamic Simulation Environment for Humanoid Robots

Gordon Cheng, Takamitsu Matsubara, Joshua G. Hale, 2008, Adv. Robotics.

Dynamic Linear Bellman Combination of Optimal Policies for Solving New Tasks

Takamitsu Matsubara, Kenji Sugimoto, Takaya Asakura, 2015, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Learning of Real-to-Sim Image Transfer with Latent Dynamics Model

Jun Morimoto, Hikaru Sasaki, Takamitsu Matsubara, 2020 .

Exploiting Human and Robot Muscle Synergies for Human-in-the-loop Optimization of EMG-based Assistive Strategies

Jun Morimoto, Takamitsu Matsubara, Satoshi Yagi, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Active touch point selection with travel cost in tactile exploration for fast shape estimation of unknown objects

Takamitsu Matsubara, Kotaro Shibata, Kenji Sugimoto, 2016, 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).

Efficient schema matching algorithm based on pre-checking

Jun Morimoto, Jun Nakanishi, Takamitsu Matsubara, 2007 .

Adaptive choreography for user's preferences on personal robots

Takamitsu Matsubara, Masatsugu Kidode, Shizuko Matsuzoe, 2012, 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication.

Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models

Takamitsu Matsubara, Vicenç Gómez, Hilbert J. Kappen, 2014, UAI.

Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies

Hikaru Sasaki, Takamitsu Matsubara, Hanbit Oh, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Model-based Reinforcement Learning with Approximate Gaussian Processes using Random Fourier Features

Takamitsu Matsubara, 2021, Journal of the Robotics Society of Japan.

Tactile Perception Based on Injected Vibration in Soft Sensor

Takamitsu Matsubara, Naoto Komeno, Takamitsu Matsubara, 2021, IEEE Robotics and Automation Letters.

Variational Policy Search using Sparse Gaussian Process Priors for Learning Multimodal Optimal Actions

Hikaru Sasaki, Takamitsu Matsubara, Takamitsu Matsubara, 2021, Neural Networks.

Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning

Takamitsu Matsubara, Toshinori Kitamura, Lingwei Zhu, 2021, ACML.

Sample-efficient gear-ratio optimization for biomechanical energy harvester pdf

Takamitsu Matsubara, Taisuke Kobayashi, Yutaro Ikawa, 2021, International Journal of Intelligent Robotics and Applications.

Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning pdf

Takamitsu Matsubara, Toshinori Kitamura, Lingwei Zhu, 2021, ArXiv.

Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport

Takamitsu Matsubara, Kazuki Shibata, Tomohiko Jimbo, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA

Takamitsu Matsubara, Yoshihisa Tsurumine, Yuki Kadokawa, 2021, IEEE Robotics and Automation Letters.

Cautious Actor-Critic pdf

Takamitsu Matsubara, Toshinori Kitamura, Lingwei Zhu, 2021, ArXiv.

Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots

Takamitsu Matsubara, Kensuke Harada, Damien Petit, 2020, IEEE Robotics and Automation Letters.

An approach to Short Plan Construction for Deformable Linear Object Manipulation

Kimitoshi Yamazaki, Takamitsu Matsubara, Takamitsu Matsubara, .