Takamitsu Matsubara

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 135

Top Venues

CoRR

IEEE Robotics Autom. Lett.

ICRA

Humanoids

Publications

Tomoya Kitamura, Takumi Hachimine, Takamitsu Matsubara, Yuki Saito, Hiroshi Asai, Kouhei Ohnishi
Analysis of Grinding Motion using Force/Tactile Sensation. ISIE (2024)
Hanbit Oh, Takamitsu Matsubara
Leveraging Demonstrator-Perceived Precision for Safe Interactive Imitation Learning of Clearance-Limited Tasks. IEEE Robotics Autom. Lett. 9 (4) (2024)
Naoto Komeno, Takamitsu Matsubara
Incipient Slip Detection by Vibration Injection into Soft Sensor. CoRR (2024)
Takanori Jin, Taisuke Kobayashi, Takamitsu Matsubara
Constrained footstep planning using model-based reinforcement learning in virtual constraint-based walking. Adv. Robotics 38 (8) (2024)
Yuma Shida, Tomohiko Jimbo, Tadashi Odashima, Takamitsu Matsubara
Reinforcement Learning of Multi-robot Task Allocation for Multi-object Transportation with Infeasible Tasks. CoRR (2024)
Yusei Naito, Tomohiko Jimbo, Tadashi Odashima, Takamitsu Matsubara
Task-priority Intermediated Hierarchical Distributed Policies: Reinforcement Learning of Adaptive Multi-robot Cooperative Transport. CoRR (2024)
Hanbit Oh, Takamitsu Matsubara
Leveraging Demonstrator-perceived Precision for Safe Interactive Imitation Learning of Clearance-limited Tasks. CoRR (2024)
Naoto Komeno, Takamitsu Matsubara
Incipient Slip Detection by Vibration Injection Into Soft Sensor. IEEE Robotics Autom. Lett. 9 (4) (2024)
Satoshi Yagi, Mitsunori Tada, Eiji Uchibe, Suguru Kanoga, Takamitsu Matsubara, Jun Morimoto
Unsupervised Neural Motion Retargeting for Humanoid Teleoperation. CoRR (2024)
Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara
Learning to Shape by Grinding: Cutting-Surface-Aware Model-Based Reinforcement Learning. IEEE Robotics Autom. Lett. 8 (10) (2023)
Edgar Anarossi, Hirotaka Tahara, Naoto Komeno, Takamitsu Matsubara
Deep Segmented DMP Networks for Learning Discontinuous Motions. CoRR (2023)
Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara
Reinforcement Learning of Action and Query Policies With LTL Instructions Under Uncertain Event Detector. IEEE Robotics Autom. Lett. 8 (11) (2023)
Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara
Reinforcement Learning With Energy-Exchange Dynamics for Spring-Loaded Biped Robot Walking. IEEE Robotics Autom. Lett. 8 (10) (2023)
Lingwei Zhu, Zheng Chen, Takamitsu Matsubara, Martha White
Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence. CoRR (2023)
Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Edgar Anarossi, Takamitsu Matsubara
Disturbance Injection Under Partial Automation: Robust Imitation Learning for Long-Horizon Tasks. IEEE Robotics Autom. Lett. 8 (5) (2023)
Yaqiang Mo, Hikaru Sasaki, Takamitsu Matsubara, Kimitoshi Yamazaki
Multi-step motion learning by combining learning-from-demonstration and policy-search. Adv. Robotics 37 (9) (2023)
Yuhwan Kwon, Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara
Policy Optimization for Waste Crane Automation From Human Preferences. IEEE Access 11 (2023)
Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara
Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization. Robotics Auton. Syst. 165 (2023)
Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Edgar Anarossi, Takamitsu Matsubara
Disturbance Injection under Partial Automation: Robust Imitation Learning for Long-horizon Tasks. CoRR (2023)
Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara
Learning to Shape by Grinding: Cutting-surface-aware Model-based Reinforcement Learning. CoRR (2023)
Kazuki Shibata, Tomohiko Jimbo, Takamitsu Matsubara
Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport. Robotics Auton. Syst. 159 (2023)
Edgar Anarossi, Hirotaka Tahara, Naoto Komeno, Takamitsu Matsubara
Deep Segmented DMP Networks for Learning Discontinuous Motions. CASE (2023)
Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara
Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector. CoRR (2023)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara
AdaTerm: Adaptive T-distribution estimated robust moments for Noise-Robust stochastic gradient optimization. Neurocomputing 557 (2023)
Tatsuya Sakuma, Takuya Kiyokawa, Takamitsu Matsubara, Jun Takamatsu, Takahiro Wada, Tsukasa Ogasawara
Jamming Gripper-Inspired Soft Jig for Perceptive Parts Fixing. IEEE Access 11 (2023)
Lingwei Zhu, Takamitsu Matsubara
Cautious policy programming: exploiting KL regularization for monotonic policy improvement in reinforcement learning. Mach. Learn. 112 (11) (2023)
Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation. Neural Networks 158 (2023)
Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara
Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness. IROS (2023)
Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Brendan Michael, Takamitsu Matsubara
Disturbance-Injected Robust Imitation Learning with Task Achievement. CoRR (2022)
Lingwei Zhu, Go Takami, Mizuo Kawahara, Hiroaki Kanokogi, Takamitsu Matsubara
Alleviating parameter-tuning burden in reinforcement learning for large-scale process control. Comput. Chem. Eng. 158 (2022)
Atsuki Nagata, Takamitsu Matsubara, Kenji Sugimoto
Disturbance Suppression in Feedback Error Learning Control. SICE (2022)
Kazuki Shibata, Tomohiko Jimbo, Tadashi Odashima, Keisuke Takeshita, Takamitsu Matsubara
Learning Locally, Communicating Globally: Reinforcement Learning of Multi-robot Task Allocation for Cooperative Transport. CoRR (2022)
Taisuke Kobayashi, Yutaro Ikawa, Takamitsu Matsubara
Sample-efficient gear-ratio optimization for biomechanical energy harvester. Int. J. Intell. Robotics Appl. 6 (1) (2022)
Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara
Gaussian Process Self-triggered Policy Search in Weakly Observable Environments. ICRA (2022)
Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara
Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning. CoRR (2022)
Felix von Drigalski, Kazumi Kasaura, Cristian C. Beltran-Hernandez, Masashi Hamaya, Kazutoshi Tanaka, Takamitsu Matsubara
Uncertainty-Aware Manipulation Planning Using Gravity and Environment Geometry. IEEE Robotics Autom. Lett. 7 (4) (2022)
Yuhwan Kwon, Yoshihisa Tsurumine, Takeshi Shimmura, Sadao Kawamura, Takamitsu Matsubara
Physically Consistent Preferential Bayesian Optimization for Food Arrangement. IEEE Robotics Autom. Lett. 7 (4) (2022)
Naoto Komeno, Brendan Michael, Katharina Küchler, Edgar Anarossi, Takamitsu Matsubara
Deep Koopman with Control: Spectral Analysis of Soft Robot Dynamics. CoRR (2022)
Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara
q-Munchausen Reinforcement Learning. CoRR (2022)
Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara
Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation. IEEE Robotics Autom. Lett. 7 (4) (2022)
Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies for Robot Manipulation. CoRR (2022)
Yuhwan Kwon, Yoshihisa Tsurumine, Takeshi Shimmura, Sadao Kawamura, Takamitsu Matsubara
Physically Consistent Preferential Bayesian Optimization for Food Arrangement. CoRR (2022)
Kazuki Shibata, Tomohiko Jimbo, Takamitsu Matsubara
Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport. CoRR (2022)
Yoshihisa Tsurumine, Takamitsu Matsubara
Goal-aware generative adversarial imitation learning from imperfect demonstration for robotic cloth manipulation. Robotics Auton. Syst. 158 (2022)
Yoshihisa Tsurumine, Takamitsu Matsubara
Variationally Autoencoded Dynamic Policy Programming for Robotic Cloth Manipulation Planning based on Raw Images. SII (2022)
Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara
Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation. CoRR (2022)
Cheng-Yu Kuo, Hirofumi Shin, Takumi Kamioka, Takamitsu Matsubara
TDE2-MBRL: Energy-exchange Dynamics Learning with Task Decomposition for Spring-loaded Bipedal Robot Locomotion. Humanoids (2022)
Yujun Lai, Gavin Paul, Yunduan Cui, Takamitsu Matsubara
User intent estimation during robot learning using physical human robot interaction primitives. Auton. Robots 46 (2) (2022)
Naoto Komeno, Brendan Michael, Katharina Küchler, Edgar Anarossi, Takamitsu Matsubara
Deep Koopman with Control: Spectral Analysis of Soft Robot Dynamics. SICE (2022)
Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara
Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization. CoRR (2022)
Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara
Gaussian Process Self-triggered Policy Search in Weakly Observable Environments. CoRR (2022)
Brendan Michael, Akifumi Ise, Kaoru Kawabata, Takamitsu Matsubara
Task-Relevant Encoding of Domain Knowledge in Dynamics Modeling: Application to Furnace Forecasting From Video. IEEE Access 10 (2022)
Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Brendan Michael, Takamitsu Matsubara
Disturbance-injected Robust Imitation Learning with Task Achievement. ICRA (2022)
Yoshihisa Tsurumine, Takamitsu Matsubara
Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth Manipulation. CoRR (2022)
Hikaru Sasaki, Takamitsu Matsubara
Variational policy search using sparse Gaussian process priors for learning multimodal optimal actions. Neural Networks 143 (2021)
Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara
Cautious Actor-Critic. CoRR (2021)
Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies. CoRR (2021)
Kazuki Shibata, Tomohiko Jimbo, Takamitsu Matsubara
Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport. CoRR (2021)
Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara
Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA. CoRR (2021)
Masashi Hamaya, Takamitsu Matsubara, Tatsuya Teramae, Tomoyuki Noda, Jun Morimoto
Design of physical user-robot interactions for model identification of soft actuators on exoskeleton robots. Int. J. Robotics Res. 40 (1) (2021)
Taisuke Kobayashi, Yutaro Ikawa, Takamitsu Matsubara
Sample-efficient Gear-ratio Optimization for Biomechanical Energy Harvester. CoRR (2021)
Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara
Autonomous boat driving system using sample-efficient model predictive control-based reinforcement learning approach. J. Field Robotics 38 (3) (2021)
Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. ACML (2021)
Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. CoRR (2021)
Naoto Komeno, Takamitsu Matsubara
Tactile Perception based on Injected Vibration in Soft Sensor. CoRR (2021)
Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara
Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA. IEEE Robotics Autom. Lett. 6 (4) (2021)
Kazutoshi Tanaka, Masashi Hamaya, Devwrat Joshi, Felix von Drigalski, Ryo Yonetani, Takamitsu Matsubara, Yoshihisa Ijiri
Learning Robotic Contact Juggling. IROS (2021)
Kazuki Shibata, Tatsuya Miyano, Tomohiko Jimbo, Takamitsu Matsubara
Robust shape estimation with false-positive contact detection. CoRR (2021)
Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies. ICRA (2021)
Keiji Nagatani, Masato Abe, Koichi Osuka, Pang-jo Chun, Takayuki Okatani, Mayuko Nishio, Shota Chikushi, Takamitsu Matsubara, Yusuke Ikemoto, Hajime Asama
Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach. Adv. Robotics 35 (11) (2021)
Kazuki Shibata, Tomohiko Jimbo, Takamitsu Matsubara
Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport. ICRA (2021)
Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara
Uncertainty-Aware Contact-Safe Model-Based Reinforcement Learning. IEEE Robotics Autom. Lett. 6 (2) (2021)
Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara
Cautious Actor-Critic. ACML (2021)
Hikaru Sasaki, Takamitsu Matsubara
Variational Policy Search using Sparse Gaussian Process Priors for Learning Multimodal Optimal Actions. CoRR (2021)
Naoto Komeno, Takamitsu Matsubara
Tactile Perception Based on Injected Vibration in Soft Sensor. IEEE Robotics Autom. Lett. 6 (3) (2021)
Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara
Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning. CoRR (2021)
Lingwei Zhu, Yunduan Cui, Takamitsu Matsubara
Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning. ICRA (2020)
Junki Matsuoka, Yoshihisa Tsurumine, Yuhwan Kwon, Takamitsu Matsubara, Takeshi Shimmura, Sadao Kawamura
Learning Food-arrangement Policies from Raw Images with Generative Adversarial Imitation Learning. UR (2020)
Tatsuya Teramae, Takamitsu Matsubara, Tomoyuki Noda, Jun Morimoto
Quaternion-Based Trajectory Optimization of Human Postures for Inducing Target Muscle Activation Patterns. IEEE Robotics Autom. Lett. 5 (4) (2020)
Masashi Hamaya, Felix von Drigalski, Takamitsu Matsubara, Kazutoshi Tanaka, Robert Lee, Chisato Nakashima, Yoshiya Shibata, Yoshihisa Ijiri
Learning Soft Robotic Assembly Strategies from Successful and Failed Demonstrations. IROS (2020)
Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Yukio Onuki, Takamitsu Matsubara
Bayesian Policy Optimization for Waste Crane With Garbage Inhomogeneity. IEEE Robotics Autom. Lett. 5 (3) (2020)
Lingwei Zhu, Takamitsu Matsubara
Ensuring Monotonic Policy Improvement in Entropy-regularized Value-based Reinforcement Learning. CoRR (2020)
Cristian Camilo Beltran-Hernandez, Damien Petit, Ixchel Georgina Ramirez-Alpizar, Takayuki Nishi, Shinichi Kikuchi, Takamitsu Matsubara, Kensuke Harada
Learning Contact-Rich Manipulation Tasks with Rigid Position-Controlled Robots: Learning to Force Control. CoRR (2020)
Kazuki Shibata, Tatsuya Miyano, Tomohiko Jimbo, Takamitsu Matsubara
Robust shape estimation with false-positive contact detection. Robotics Auton. Syst. 129 (2020)
Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara
Uncertainty-aware Contact-safe Model-based Reinforcement Learning. CoRR (2020)
Tomoya Miyamoto, Hikaru Sasaki, Takamitsu Matsubara
Exploiting Visual-Outer Shape for Tactile-Inner Shape Estimation of Objects Covered with Soft Materials. IEEE Robotics Autom. Lett. 5 (4) (2020)
Yunduan Cui, Jun'ichiro Ooga, Akihito Ogawa, Takamitsu Matsubara
Probabilistic active filtering with gaussian processes for occluded object search in clutter. Appl. Intell. 50 (12) (2020)
Cheng-Yu Kuo, Yunduan Cui, Takamitsu Matsubara
Sample-and-computation-efficient Probabilistic Model Predictive Control with Random Features. ICRA (2020)
Cristian Camilo Beltran-Hernandez, Damien Petit, Ixchel Georgina Ramirez-Alpizar, Takayuki Nishi, Shinichi Kikuchi, Takamitsu Matsubara, Kensuke Harada
Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots. IEEE Robotics Autom. Lett. 5 (4) (2020)
Yuhwan Kwon, Takumi Kaneko, Yoshihisa Tsurumine, Hikaru Sasaki, Kimiko Motonaka, Seiji Miyoshi, Takamitsu Matsubara
Combining Model Predictive Path Integral with Kalman Variational Auto-encoder for Robot Control from Raw Images. SII (2020)
Felix Von Drigalski, Shohei Taniguchi, Robert Lee, Takamitsu Matsubara, Masashi Hamaya, Kazutoshi Tanaka, Yoshihisa Ijiri
Contact-based in-hand pose estimation using Bayesian state estimation and particle filtering. ICRA (2020)
Yunduan Cui, James Poon, Jaime Valls Miró, Kimitoshi Yamazaki, Kenji Sugimoto, Takamitsu Matsubara
Environment-adaptive interaction primitives through visual context for human-robot motor skill learning. Auton. Robots 43 (5) (2019)
James Poon, Yunduan Cui, Jun'ichiro Ooga, Akihito Ogawa, Takamitsu Matsubara
Probabilistic Active Filtering for Object Search in Clutter. ICRA (2019)
James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara
Learning from demonstration for locally assistive mobility aids. Int. J. Intell. Robotics Appl. 3 (3) (2019)
Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara
Reinforcement Learning Ship Autopilot: Sample-efficient and Model Predictive Control-based Approach. CoRR (2019)
Masashi Hamaya, Takamitsu Matsubara, Jun-ichiro Furukawa, Yuting Sun, Satoshi Yagi, Tatsuya Teramae, Tomoyuki Noda, Jun Morimoto
Exploiting Human and Robot Muscle Synergies for Human-in-the-loop Optimization of EMG-based Assistive Strategies. ICRA (2019)
Takumi Kaneko, Yoshihisa Tsurumine, James Poon, Yukio Onuki, Yingda Dai, Kaoru Kawabata, Takamitsu Matsubara
Learning Deep Dynamical Models of a Waste Incineration Plant from In-furnace Images and Process Data. CASE (2019)
Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara
Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation. Robotics Auton. Syst. 112 (2019)
Hikaru Sasaki, Takamitsu Matsubara
Multimodal Policy Search using Overlapping Mixtures of Sparse Gaussian Process Prior. ICRA (2019)
Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara
Reinforcement Learning Boat Autopilot: A Sample-efficient and Model Predictive Control based Approach. IROS (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Takamitsu Matsubara