Takamitsu Matsubara
Orcid: 0000-0003-3545-4814
According to our database1,
Takamitsu Matsubara
authored at least 144 papers
between 2005 and 2024.
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Bibliography
2024
Constrained footstep planning using model-based reinforcement learning in virtual constraint-based walking.
Adv. Robotics, April, 2024
Robust iterative value conversion: Deep reinforcement learning for neurochip-driven edge robots.
Robotics Auton. Syst., 2024
Leveraging Demonstrator-Perceived Precision for Safe Interactive Imitation Learning of Clearance-Limited Tasks.
IEEE Robotics Autom. Lett., 2024
IEEE Robotics Autom. Lett., 2024
Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning.
CoRR, 2024
Reinforcement Learning of Multi-robot Task Allocation for Multi-object Transportation with Infeasible Tasks.
CoRR, 2024
Task-priority Intermediated Hierarchical Distributed Policies: Reinforcement Learning of Adaptive Multi-robot Cooperative Transport.
CoRR, 2024
Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024
2023
Reinforcement Learning of Action and Query Policies With LTL Instructions Under Uncertain Event Detector.
IEEE Robotics Autom. Lett., November, 2023
Cautious policy programming: exploiting KL regularization for monotonic policy improvement in reinforcement learning.
Mach. Learn., November, 2023
AdaTerm: Adaptive T-distribution estimated robust moments for Noise-Robust stochastic gradient optimization.
Neurocomputing, November, 2023
Reinforcement Learning With Energy-Exchange Dynamics for Spring-Loaded Biped Robot Walking.
IEEE Robotics Autom. Lett., October, 2023
Learning to Shape by Grinding: Cutting-Surface-Aware Model-Based Reinforcement Learning.
IEEE Robotics Autom. Lett., October, 2023
Disturbance Injection Under Partial Automation: Robust Imitation Learning for Long-Horizon Tasks.
IEEE Robotics Autom. Lett., May, 2023
Multi-step motion learning by combining learning-from-demonstration and policy-search.
Adv. Robotics, May, 2023
Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation.
Neural Networks, January, 2023
Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport.
Robotics Auton. Syst., 2023
Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization.
Robotics Auton. Syst., 2023
CoRR, 2023
IEEE Access, 2023
Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness.
IROS, 2023
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
Goal-aware generative adversarial imitation learning from imperfect demonstration for robotic cloth manipulation.
Robotics Auton. Syst., 2022
Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation.
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
IEEE Robotics Autom. Lett., 2022
Int. J. Intell. Robotics Appl., 2022
Learning Locally, Communicating Globally: Reinforcement Learning of Multi-robot Task Allocation for Cooperative Transport.
CoRR, 2022
Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning.
CoRR, 2022
Alleviating parameter-tuning burden in reinforcement learning for large-scale process control.
Comput. Chem. Eng., 2022
User intent estimation during robot learning using physical human robot interaction primitives.
Auton. Robots, 2022
Task-Relevant Encoding of Domain Knowledge in Dynamics Modeling: Application to Furnace Forecasting From Video.
IEEE Access, 2022
Variationally Autoencoded Dynamic Policy Programming for Robotic Cloth Manipulation Planning based on Raw Images.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022
Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022
Proceedings of the 61st IEEE Annual Conference of the Society of Instrument and Control Engineers, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
TDE2-MBRL: Energy-exchange Dynamics Learning with Task Decomposition for Spring-loaded Bipedal Robot Locomotion.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022
2021
IEEE Robotics Autom. Lett., 2021
IEEE Robotics Autom. Lett., 2021
Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA.
IEEE Robotics Autom. Lett., 2021
Variational policy search using sparse Gaussian process priors for learning multimodal optimal actions.
Neural Networks, 2021
Autonomous boat driving system using sample-efficient model predictive control-based reinforcement learning approach.
J. Field Robotics, 2021
Design of physical user-robot interactions for model identification of soft actuators on exoskeleton robots.
Int. J. Robotics Res., 2021
Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning.
CoRR, 2021
Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach.
Adv. Robotics, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning.
Proceedings of the Asian Conference on Machine Learning, 2021
2020
Robotics Auton. Syst., 2020
Quaternion-Based Trajectory Optimization of Human Postures for Inducing Target Muscle Activation Patterns.
IEEE Robotics Autom. Lett., 2020
IEEE Robotics Autom. Lett., 2020
Exploiting Visual-Outer Shape for Tactile-Inner Shape Estimation of Objects Covered with Soft Materials.
IEEE Robotics Autom. Lett., 2020
Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots.
IEEE Robotics Autom. Lett., 2020
Ensuring Monotonic Policy Improvement in Entropy-regularized Value-based Reinforcement Learning.
CoRR, 2020
Learning Contact-Rich Manipulation Tasks with Rigid Position-Controlled Robots: Learning to Force Control.
CoRR, 2020
Probabilistic active filtering with gaussian processes for occluded object search in clutter.
Appl. Intell., 2020
Learning Food-arrangement Policies from Raw Images with Generative Adversarial Imitation Learning.
Proceedings of the 17th International Conference on Ubiquitous Robots, 2020
Combining Model Predictive Path Integral with Kalman Variational Auto-encoder for Robot Control from Raw Images.
Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Sample-and-computation-efficient Probabilistic Model Predictive Control with Random Features.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Contact-based in-hand pose estimation using Bayesian state estimation and particle filtering.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation.
Robotics Auton. Syst., 2019
Int. J. Intell. Robotics Appl., 2019
Reinforcement Learning Ship Autopilot: Sample-efficient and Model Predictive Control-based Approach.
CoRR, 2019
Environment-adaptive interaction primitives through visual context for human-robot motor skill learning.
Auton. Robots, 2019
Special issue on artificial intelligence and machine learning for robotic manipulation.
Adv. Robotics, 2019
Reinforcement Learning Boat Autopilot: A Sample-efficient and Model Predictive Control based Approach.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Multimodal Policy Search using Overlapping Mixtures of Sparse Gaussian Process Prior.
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Exploiting Human and Robot Muscle Synergies for Human-in-the-loop Optimization of EMG-based Assistive Strategies.
Proceedings of the International Conference on Robotics and Automation, 2019
Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019
Learning Deep Dynamical Models of a Waste Incineration Plant from In-furnace Images and Process Data.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
Proceedings of the IEEE International Conference on Information and Automation, 2018
Proceedings of the 15th International Conference on Control, 2018
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
Biomechanical Energy Harvester with Continuously Variable Transmission: Prototyping and Preliminary Evaluation.
Proceedings of the 2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2018
2017
Active tactile exploration with uncertainty and travel cost for fast shape estimation of unknown objects.
Robotics Auton. Syst., 2017
Learning assistive strategies for exoskeleton robots from user-robot physical interaction.
Pattern Recognit. Lett., 2017
Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states.
Neural Networks, 2017
Int. J. Intell. Robotics Appl., 2017
Pneumatic artificial muscle-driven robot control using local update reinforcement learning.
Adv. Robotics, 2017
Proceedings of the IEEE/SICE International Symposium on System Integration, 2017
Proceedings of the IEEE/SICE International Symposium on System Integration, 2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
User-robot collaborative excitation for PAM model identification in exoskeleton robots.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Learning task-parametrized assistive strategies for exoskeleton robots by multi-task reinforcement learning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Proceedings of the IEEE International Conference on Information and Automation, 2017
Model-based reinforcement learning approach for deformable linear object manipulation.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
2016
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016
An approach to realistic physical simulation of digitally captured deformable linear objects.
Proceedings of the 2016 IEEE International Conference on Simulation, 2016
Learning assistive strategies from a few user-robot interactions: Model-based reinforcement learning approach.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016
Kernel dynamic policy programming: Practical reinforcement learning for high-dimensional robots.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016
Latent Kullback-Leibler control for dynamic imitation learning of whole-body behaviors in humanoid robots.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016
Data-efficient human training of a care motion controller for human transfer assistant robots using Bayesian optimization.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
Active touch point selection with travel cost in tactile exploration for fast shape estimation of unknown objects.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2016
2015
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2015
Spatiotemporal synchronization of biped walking patterns with multiple external inputs by style-phase adaptation.
Biol. Cybern., 2015
Sequential intention estimation of a mobility aid user for intelligent navigational assistance.
Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, 2015
Reinforcement learning of shared control for dexterous telemanipulation: Application to a page turning skill.
Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, 2015
Local Update Dynamic Policy Programming in reinforcement learning of pneumatic artificial muscle-driven humanoid hand control.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015
2014
Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Real-time estimation of Human-Cloth topological relationship using depth sensor for robotic clothing assistance.
Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
An optimal control approach for exploratory actions in active tactile object recognition.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014
Task-adaptive inertial parameter estimation of rigid-body dynamics with modeling error for model-based control using covariate shift adaptation.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2014
2013
Bilinear Modeling of EMG Signals to Extract User-Independent Features for Multiuser Myoelectric Interface.
IEEE Trans. Biomed. Eng., 2013
Reinforcement learning of a motor skill for wearing a T-shirt using topology coordinates.
Adv. Robotics, 2013
Estimation of Human Cloth Topological Relationship using Depth Sensor for Robotic Clothing Assistance.
Proceedings of the Advances In Robotics 2013, 2013
2012
Proceedings of the 21st IEEE International Symposium on Robot and Human Interactive Communication, 2012
Full-body exoskeleton robot control for walking assistance by style-phase adaptive pattern generation.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Spatio-temporal synchronization of periodic movements by style-phase adaptation: Application to biped walking.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
2011
Neural Networks, 2011
Proceedings of the 2011 IEEE International Conference on Robotics and Biomimetics, 2011
Learning and adaptation of a Stylistic Myoelectric Interface: EMG-based robotic control with individual user differences.
Proceedings of the 2011 IEEE International Conference on Robotics and Biomimetics, 2011
Learning Parametric Inverse Dynamics Models from multiple conditions for fast adaptive computed torque control.
Proceedings of the 2011 IEEE International Conference on Robotics and Biomimetics, 2011
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011
2010
Proceedings of the 2nd Asian Conference on Machine Learning, 2010
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
Learning Basis Representations of Inverse Dynamics Models for Real-Time Adaptive Control.
Proceedings of the Neural Information Processing. Models and Applications, 2010
2008
Learning CPG-based Biped Locomotion with a Policy Gradient Method: Application to a Humanoid Robot.
Int. J. Robotics Res., 2008
Learning to Acquire Whole-Body Humanoid Center of Mass Movements to Achieve Dynamic Tasks.
Adv. Robotics, 2008
Adv. Robotics, 2008
2007
Syst. Comput. Jpn., 2007
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007
2006
Robotics Auton. Syst., 2006
2005
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005
Learning CPG Sensory Feedback with Policy Gradient for Biped Locomotion for a Full-Body Humanoid.
Proceedings of the Proceedings, 2005