Takamitsu Matsubara

226 papers A* 19A 13B 4C 4Journal 142Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoLF: Learning Consistent Leader-Follower Policies for Vision-Language-Guided Multi-Robot Cooperative Transport. CoRR Joachim Yann Despature, Kazuki Shibata, Takamitsu Matsubara
2026	J	`jnl`	DAPPER: Discriminability-Aware Policy-to-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition. IEEE Robotics Autom. Mag. Yuki Kadokawa, Jonas Frey, Takahiro Miki, Takamitsu Matsubara, Marco Hutter
2026	J	`jnl`	DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport. CoRR Kazuki Shibata, Ryosuke Sota, Shandil Dhiresh Bosch, Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara
2026	J	`jnl`	DecompGrind: A Decomposition Framework for Robotic Grinding via Cutting-Surface Planning and Contact-Force Adaptation. CoRR Shunsuke Araki, Takumi Hachimine, Yuki Saito, Kouhei Ohnishi, Jun Morimoto, Takamitsu Matsubara
2026	J	`jnl`	Distilled Iterative Value Conversion: Reducing FPNN-to-SNN Conversion Errors via Distillation in Reinforcement Learning for Neurochip-Driven Edge Robots. IEEE Access Yuki Kadokawa, Tomoya Yamanokuchi, Alonso Ramos Fernandez, Takanori Homma, Takamitsu Matsubara
2026	J	`jnl`	Domains as objectives: Domain-uncertainty-aware policy optimization through explicit multi-domain convex coverage set learning. Int. J. Robotics Res. Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara
2026	J	`jnl`	Embodied AI: Bridging Robotics and AI Toward Real-World Applications [From the Guest Editors]. IEEE Robotics Autom. Mag. Hao Su, Yunduan Cui, Cosimo Della Santina, Kuan Fang, Jens Kober, Yanan Li, Yunzhu Li, Takamitsu Matsubara, Maria Pozzi, Bolei Zhou
2026	J	`jnl`	Feasibility-aware Imitation Learning from Observation with Multimodal Feedback. CoRR Kei Takahashi, Hikaru Sasaki, Takamitsu Matsubara
2026	J	`jnl`	Prolonging Tool Life: Learning Skillful Use of General-Purpose Tools Through Lifespan-Guided Reinforcement Learning. IEEE Access Po-Yen Wu, Cheng-Yu Kuo, Yuki Kadokawa, Takamitsu Matsubara
2026	J	`jnl`	Robotic system for chemical experiment automation with dual demonstration of end-effector and jig operations. Int. J. Intell. Robotics Appl. Hikaru Sasaki, Naoto Komeno, Takumi Hachimine, Kei Takahashi, Yu-ya Ohnishi, Tetsunori Sugawara, Araki Wakiuchi, Miho Hatanaka, Tomoyuki Miyao, Hiroharu Ajiro, Mikiya Fujii, Takamitsu Matsubara
2026	J	`jnl`	Robust Sim-to-Real Cloth Untangling through Reduced-Resolution Observations via Adaptive Force-Difference Quantization. CoRR Yoshihisa Tsurumine, Yuki Kadokawa, Kohei Hayashi, Christian Diehm, Takamitsu Matsubara
2026	J	`jnl`	Task-Relevant and Irrelevant Region-Aware Augmentation for Generalizable Vision-Based Imitation Learning in Agricultural Manipulation. CoRR Shun Hattori, Hikaru Sasaki, Takumi Hachimine, Yusuke Mizutani, Takamitsu Matsubara
2026	J	`jnl`	Tracing Energy Flow: Learning Tactile-Based Grasping Force Control to Reduce Slippage in Dynamic Object Interaction. IEEE Robotics Autom. Lett. Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara
2026	J	`jnl`	ViSA: Visited-State Augmentation for Generalized Goal-Space Contrastive Reinforcement Learning. CoRR Issa Nakamura, Tomoya Yamanokuchi, Yuki Kadokawa, Jia Qu, Shun Otsubo, Ken Miyamoto, Shotaro Miwa, Takamitsu Matsubara
2026	J	`jnl`	VoxelDiffusionCut: Non-destructive Internal-part Extraction via Iterative Cutting and Structure Estimation. CoRR Takumi Hachimine, Yuhwan Kwon, Cheng-Yu Kuo, Tomoya Yamanokuchi, Takamitsu Matsubara
2025	J	`jnl`	ASBI: Leveraging Informative Real-World Data for Active Black-Box Simulator Tuning. CoRR Gahee Kim, Takamitsu Matsubara
2025	J	`jnl`	ASBI: Leveraging informative real-world data for active black-box simulator tuning. Appl. Intell. Gahee Kim, Takamitsu Matsubara
2025	J	`jnl`	BEAC: Imitating Complex Exploration and Task-oriented Behaviors for Invisible Object Nonprehensile Manipulation. CoRR Hirotaka Tahara, Takamitsu Matsubara
2025	J	`jnl`	BEAC: Imitating Complex Exploration and Task-oriented Behaviors for Invisible Object Nonprehensile Manipulation. J. Intell. Robotic Syst. Hirotaka Tahara, Takamitsu Matsubara
2025	J	`jnl`	Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies. CoRR Shu-yuan Wang, Hikaru Sasaki, Takamitsu Matsubara
2025	J	`jnl`	Composite Gaussian processes flows for learning discontinuous multimodal policies. Appl. Intell. Shu-yuan Wang, Hikaru Sasaki, Takamitsu Matsubara
2025	—	`conf`	Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation. SII Ing-Sheng Bernard-Tiong, Yoshihisa Tsurumine, Ryosuke Sota, Kazuki Shibata, Takamitsu Matsubara
2025	J	`jnl`	Cutting Sequence Diffuser: Sim-to-Real Transferable Planning for Object Shaping by Grinding. IEEE Robotics Autom. Lett. Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara
2025	J	`jnl`	DAPPER: Discriminability-Aware Policy-to-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition. CoRR Yuki Kadokawa, Jonas Frey, Takahiro Miki, Takamitsu Matsubara, Marco Hutter
2025	J	`jnl`	DIPP: Discriminative Impact Point Predictor for Catching Diverse In-Flight Objects. CoRR Ngoc Huy Nguyen, Kazuki Shibata, Takamitsu Matsubara
2025	J	`jnl`	DISF: Disentangled Iterative Surface Fitting for Contact-stable Grasp Planning with Grasp Pose Alignment to the Object Center of Mass. CoRR Tomoya Yamanokuchi, Alberto Bacchin, Emilio Olivastri, Ryotaro Arifuku, Takamitsu Matsubara, Emanuele Menegatti
2025	—	`conf`	Diffusion Model and RRT*-Based Methods for Reflected Mass Optimization in Motion Planning. SII David Gutierrez-Moreno, Simon Armleder, Yuhwan Kwon, Takumi Hachimine, Yoshihisa Tsurumine, Takamitsu Matsubara, Gordon Cheng
2025	J	`jnl`	Disentangled Iterative Surface Fitting for Contact-stable Grasp Planning. CoRR Tomoya Yamanokuchi, Alberto Bacchin, Emilio Olivastri, Takamitsu Matsubara, Emanuele Menegatti
2025	A*	`conf`	Feasibility-Aware Imitation Learning from Observations Through a Hand-Mounted Demonstration Interface. ICRA Kei Takahashi, Hikaru Sasaki, Takamitsu Matsubara
2025	J	`jnl`	Feasibility-aware Imitation Learning from Observations through a Hand-mounted Demonstration Interface. CoRR Kei Takahashi, Hikaru Sasaki, Takamitsu Matsubara
2025	A	`conf`	ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot Control. IROS Yoshiki Yano, Kazuki Shibata, Maarten Kokshoorn, Takamitsu Matsubara
2025	J	`jnl`	ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot Control. CoRR Yoshiki Yano, Kazuki Shibata, Maarten Kokshoorn, Takamitsu Matsubara
2025	J	`jnl`	KeyMPs: One-Shot Vision-Language Guided Motion Generation by Sequencing DMPs for Occlusion-Rich Tasks. IEEE Access Edgar Anarossi, Yuhwan Kwon, Hirotaka Tahara, Shohei Tanaka, Keisuke Shirai, Masashi Hamaya, Cristian C. Beltran-Hernandez, Atsushi Hashimoto, Takamitsu Matsubara
2025	J	`jnl`	KeyMPs: One-Shot Vision-Language Guided Motion Generation by Sequencing DMPs for Occlusion-Rich Tasks. CoRR Edgar Anarossi, Yuhwan Kwon, Hirotaka Tahara, Shohei Tanaka, Keisuke Shirai, Masashi Hamaya, Cristian C. Beltran-Hernandez, Atsushi Hashimoto, Takamitsu Matsubara
2025	J	`jnl`	Optimizing non-assisted body part movements for robot-assisted therapy. Biomed. Signal Process. Control. Tatsuya Teramae, Takamitsu Matsubara, Tomoyuki Noda, Jun Morimoto
2025	J	`jnl`	Progressive-Resolution Policy Distillation: Leveraging Coarse-Resolution Simulations for Time-Efficient Fine-Resolution Policy Learning. IEEE Trans Autom. Sci. Eng. Yuki Kadokawa, Hirotaka Tahara, Takamitsu Matsubara
2025	J	`jnl`	Prolonging Tool Life: Learning Skillful Use of General-purpose Tools through Lifespan-guided Reinforcement Learning. CoRR Po-Yen Wu, Cheng-Yu Kuo, Yuki Kadokawa, Takamitsu Matsubara
2025	J	`jnl`	Reinforcement Learning of Flexible Policies for Symbolic Instructions With Adjustable Mapping Specifications. IEEE Robotics Autom. Lett. Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara
2025	J	`jnl`	Reinforcement Learning of Flexible Policies for Symbolic Instructions with Adjustable Mapping Specifications. CoRR Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara
2025	—	`conf`	Reinforcement Learning of Multi-robot Task Allocation for Multi-object Transportation with Infeasible Tasks. SII Yuma Shida, Tomohiko Jimbo, Tadashi Odashima, Takamitsu Matsubara
2025	J	`jnl`	Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations. CoRR Hikaru Sasaki, Naoto Komeno, Takumi Hachimine, Kei Takahashi, Yu-ya Ohnishi, Tetsunori Sugawara, Araki Wakiuchi, Miho Hatanaka, Tomoyuki Miyao, Hiroharu Ajiro, Mikiya Fujii, Takamitsu Matsubara
2025	—	`conf`	Self-Supervised Learning of Grasping Arbitrary Objects On-the-Move. SII Takuya Kiyokawa, Eiki Nagata, Yoshihisa Tsurumine, Yuhwan Kwon, Takamitsu Matsubara
2025	—	`conf`	Task-priority Intermediated Hierarchical Distributed Policies: Reinforcement Learning of Adaptive Multi-robot Cooperative Transport. SII Yusei Naito, Tomohiko Jimbo, Tadashi Odashima, Takamitsu Matsubara
2025	J	`jnl`	Tracing Energy Flow: Learning Tactile-based Grasping Force Control to Prevent Slippage in Dynamic Object Interaction. CoRR Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara
2025	J	`jnl`	Weber-Fechner law in temporal difference learning derived from control as inference. Frontiers Robotics AI Keiichiro Takahashi, Taisuke Kobayashi, Tomoya Yamanokuchi, Takamitsu Matsubara
2025	J	`jnl`	Where Do We Look When We Teach? Analyzing Human Gaze Behavior Across Demonstration Devices in Robot Imitation Learning. CoRR Yutaro Ishida, Takamitsu Matsubara, Takayuki Kanai, Kazuhiro Shintani, Hiroshi Bito
2024	—	`conf`	Analysis of Grinding Motion using Force/Tactile Sensation. ISIE Tomoya Kitamura, Takumi Hachimine, Takamitsu Matsubara, Yuki Saito, Hiroshi Asai, Kouhei Ohnishi
2024	J	`jnl`	Constrained footstep planning using model-based reinforcement learning in virtual constraint-based walking. Adv. Robotics Takanori Jin, Taisuke Kobayashi, Takamitsu Matsubara
2024	J	`jnl`	Cooperative Grasping and Transportation using Multi-agent Reinforcement Learning with Ternary Force Representation. CoRR Ing-Sheng Bernard-Tiong, Yoshihisa Tsurumine, Ryosuke Sota, Kazuki Shibata, Takamitsu Matsubara
2024	J	`jnl`	Cutting Sequence Diffuser: Sim-to-Real Transferable Planning for Object Shaping by Grinding. CoRR Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara
2024	A	`conf`	Domain Randomization-free Sim-to-Real : An Attention-Augmented Memory Approach for Robotic Tasks. IROS Jia Qu, Shun Otsubo, Tomoya Yamanokuchi, Takamitsu Matsubara, Shotaro Miwa
2024	J	`jnl`	Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning. CoRR Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara
2024	J	`jnl`	ISPIL: Interactive Sub-Goal-Planning Imitation Learning for Long-Horizon Tasks With Diverse Goals. IEEE Access Cynthia Ochoa, Hanbit Oh, Yuhwan Kwon, Yukiyasu Domae, Takamitsu Matsubara
2024	J	`jnl`	Incipient Slip Detection by Vibration Injection Into Soft Sensor. IEEE Robotics Autom. Lett. Naoto Komeno, Takamitsu Matsubara
2024	J	`jnl`	Incipient Slip Detection by Vibration Injection into Soft Sensor. CoRR Naoto Komeno, Takamitsu Matsubara
2024	J	`jnl`	Leveraging Demonstrator-Perceived Precision for Safe Interactive Imitation Learning of Clearance-Limited Tasks. IEEE Robotics Autom. Lett. Hanbit Oh, Takamitsu Matsubara
2024	J	`jnl`	Leveraging Demonstrator-perceived Precision for Safe Interactive Imitation Learning of Clearance-limited Tasks. CoRR Hanbit Oh, Takamitsu Matsubara
2024	J	`jnl`	Progressive-Resolution Policy Distillation: Leveraging Coarse-Resolution Simulation for Time-Efficient Fine-Resolution Policy Learning. CoRR Yuki Kadokawa, Hirotaka Tahara, Takamitsu Matsubara
2024	J	`jnl`	Reinforcement Learning of Multi-robot Task Allocation for Multi-object Transportation with Infeasible Tasks. CoRR Yuma Shida, Tomohiko Jimbo, Tadashi Odashima, Takamitsu Matsubara
2024	J	`jnl`	Robust Iterative Value Conversion: Deep Reinforcement Learning for Neurochip-driven Edge Robots. CoRR Yuki Kadokawa, Tomohito Kodera, Yoshihisa Tsurumine, Shinya Nishimura, Takamitsu Matsubara
2024	J	`jnl`	Robust iterative value conversion: Deep reinforcement learning for neurochip-driven edge robots. Robotics Auton. Syst. Yuki Kadokawa, Tomohito Kodera, Yoshihisa Tsurumine, Shinya Nishimura, Takamitsu Matsubara
2024	J	`jnl`	Self-Supervised Learning of Grasping Arbitrary Objects On-the-Move. CoRR Takuya Kiyokawa, Eiki Nagata, Yoshihisa Tsurumine, Yuhwan Kwon, Takamitsu Matsubara
2024	J	`jnl`	Task-priority Intermediated Hierarchical Distributed Policies: Reinforcement Learning of Adaptive Multi-robot Cooperative Transport. CoRR Yusei Naito, Tomohiko Jimbo, Tadashi Odashima, Takamitsu Matsubara
2024	J	`jnl`	Unsupervised Neural Motion Retargeting for Humanoid Teleoperation. CoRR Satoshi Yagi, Mitsunori Tada, Eiji Uchibe, Suguru Kanoga, Takamitsu Matsubara, Jun Morimoto
2024	J	`jnl`	Weber-Fechner Law in Temporal Difference learning derived from Control as Inference. CoRR Keiichiro Takahashi, Taisuke Kobayashi, Tomoya Yamanokuchi, Takamitsu Matsubara
2023	J	`jnl`	AdaTerm: Adaptive T-distribution estimated robust moments for Noise-Robust stochastic gradient optimization. Neurocomputing Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara
2023	J	`jnl`	Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation. Neural Networks Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
2023	J	`jnl`	Cautious policy programming: exploiting KL regularization for monotonic policy improvement in reinforcement learning. Mach. Learn. Lingwei Zhu, Takamitsu Matsubara
2023	J	`jnl`	Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization. Robotics Auton. Syst. Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara
2023	—	`conf`	Deep Segmented DMP Networks for Learning Discontinuous Motions. CASE Edgar Anarossi, Hirotaka Tahara, Naoto Komeno, Takamitsu Matsubara
2023	J	`jnl`	Deep Segmented DMP Networks for Learning Discontinuous Motions. CoRR Edgar Anarossi, Hirotaka Tahara, Naoto Komeno, Takamitsu Matsubara
2023	J	`jnl`	Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport. Robotics Auton. Syst. Kazuki Shibata, Tomohiko Jimbo, Takamitsu Matsubara
2023	J	`jnl`	Disturbance Injection Under Partial Automation: Robust Imitation Learning for Long-Horizon Tasks. IEEE Robotics Autom. Lett. Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Edgar Anarossi, Takamitsu Matsubara
2023	J	`jnl`	Disturbance Injection under Partial Automation: Robust Imitation Learning for Long-horizon Tasks. CoRR Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Edgar Anarossi, Takamitsu Matsubara
2023	A	`conf`	Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness. IROS Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara
2023	J	`jnl`	Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence. CoRR Lingwei Zhu, Zheng Chen, Takamitsu Matsubara, Martha White
2023	J	`jnl`	Jamming Gripper-Inspired Soft Jig for Perceptive Parts Fixing. IEEE Access Tatsuya Sakuma, Takuya Kiyokawa, Takamitsu Matsubara, Jun Takamatsu, Takahiro Wada, Tsukasa Ogasawara
2023	J	`jnl`	Learning to Shape by Grinding: Cutting-Surface-Aware Model-Based Reinforcement Learning. IEEE Robotics Autom. Lett. Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara
2023	J	`jnl`	Learning to Shape by Grinding: Cutting-surface-aware Model-based Reinforcement Learning. CoRR Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara
2023	J	`jnl`	Multi-step motion learning by combining learning-from-demonstration and policy-search. Adv. Robotics Yaqiang Mo, Hikaru Sasaki, Takamitsu Matsubara, Kimitoshi Yamazaki
2023	J	`jnl`	Policy Optimization for Waste Crane Automation From Human Preferences. IEEE Access Yuhwan Kwon, Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara
2023	J	`jnl`	Reinforcement Learning With Energy-Exchange Dynamics for Spring-Loaded Biped Robot Walking. IEEE Robotics Autom. Lett. Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara
2023	J	`jnl`	Reinforcement Learning of Action and Query Policies With LTL Instructions Under Uncertain Event Detector. IEEE Robotics Autom. Lett. Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara
2023	J	`jnl`	Reinforcement Learning of Action and Query Policies with LTL Instructions under Uncertain Event Detector. CoRR Wataru Hatanaka, Ryota Yamashina, Takamitsu Matsubara
2022	J	`jnl`	Alleviating parameter-tuning burden in reinforcement learning for large-scale process control. Comput. Chem. Eng. Lingwei Zhu, Go Takami, Mizuo Kawahara, Hiroaki Kanokogi, Takamitsu Matsubara
2022	J	`jnl`	Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies for Robot Manipulation. CoRR Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
2022	J	`jnl`	Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization. CoRR Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara
2022	—	`conf`	Deep Koopman with Control: Spectral Analysis of Soft Robot Dynamics. SICE Naoto Komeno, Brendan Michael, Katharina Küchler, Edgar Anarossi, Takamitsu Matsubara
2022	J	`jnl`	Deep Koopman with Control: Spectral Analysis of Soft Robot Dynamics. CoRR Naoto Komeno, Brendan Michael, Katharina Küchler, Edgar Anarossi, Takamitsu Matsubara
2022	J	`jnl`	Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport. CoRR Kazuki Shibata, Tomohiko Jimbo, Takamitsu Matsubara
2022	—	`conf`	Disturbance Suppression in Feedback Error Learning Control. SICE Atsuki Nagata, Takamitsu Matsubara, Kenji Sugimoto
2022	J	`jnl`	Disturbance-Injected Robust Imitation Learning with Task Achievement. CoRR Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Brendan Michael, Takamitsu Matsubara
2022	A*	`conf`	Disturbance-injected Robust Imitation Learning with Task Achievement. ICRA Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Brendan Michael, Takamitsu Matsubara
2022	J	`jnl`	Enforcing KL Regularization in General Tsallis Entropy Reinforcement Learning via Advantage Learning. CoRR Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara
2022	A*	`conf`	Gaussian Process Self-triggered Policy Search in Weakly Observable Environments. ICRA Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara
2022	J	`jnl`	Gaussian Process Self-triggered Policy Search in Weakly Observable Environments. CoRR Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara
2022	J	`jnl`	Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth Manipulation. CoRR Yoshihisa Tsurumine, Takamitsu Matsubara
2022	J	`jnl`	Goal-aware generative adversarial imitation learning from imperfect demonstration for robotic cloth manipulation. Robotics Auton. Syst. Yoshihisa Tsurumine, Takamitsu Matsubara
2022	J	`jnl`	Learning Locally, Communicating Globally: Reinforcement Learning of Multi-robot Task Allocation for Cooperative Transport. CoRR Kazuki Shibata, Tomohiko Jimbo, Tadashi Odashima, Keisuke Takeshita, Takamitsu Matsubara
2022	J	`jnl`	Physically Consistent Preferential Bayesian Optimization for Food Arrangement. CoRR Yuhwan Kwon, Yoshihisa Tsurumine, Takeshi Shimmura, Sadao Kawamura, Takamitsu Matsubara
2022	J	`jnl`	Physically Consistent Preferential Bayesian Optimization for Food Arrangement. IEEE Robotics Autom. Lett. Yuhwan Kwon, Yoshihisa Tsurumine, Takeshi Shimmura, Sadao Kawamura, Takamitsu Matsubara
2022	J	`jnl`	Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation. IEEE Robotics Autom. Lett. Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara
2022	J	`jnl`	Randomized-to-Canonical Model Predictive Control for Real-world Visual Robotic Manipulation. CoRR Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara
2022	J	`jnl`	Sample-efficient gear-ratio optimization for biomechanical energy harvester. Int. J. Intell. Robotics Appl. Taisuke Kobayashi, Yutaro Ikawa, Takamitsu Matsubara
2022	—	`conf`	TDE2-MBRL: Energy-exchange Dynamics Learning with Task Decomposition for Spring-loaded Bipedal Robot Locomotion. Humanoids Cheng-Yu Kuo, Hirofumi Shin, Takumi Kamioka, Takamitsu Matsubara
2022	J	`jnl`	Task-Relevant Encoding of Domain Knowledge in Dynamics Modeling: Application to Furnace Forecasting From Video. IEEE Access Brendan Michael, Akifumi Ise, Kaoru Kawabata, Takamitsu Matsubara
2022	J	`jnl`	Uncertainty-Aware Manipulation Planning Using Gravity and Environment Geometry. IEEE Robotics Autom. Lett. Felix von Drigalski, Kazumi Kasaura, Cristian C. Beltran-Hernandez, Masashi Hamaya, Kazutoshi Tanaka, Takamitsu Matsubara
2022	J	`jnl`	User intent estimation during robot learning using physical human robot interaction primitives. Auton. Robots Yujun Lai, Gavin Paul, Yunduan Cui, Takamitsu Matsubara
2022	—	`conf`	Variationally Autoencoded Dynamic Policy Programming for Robotic Cloth Manipulation Planning based on Raw Images. SII Yoshihisa Tsurumine, Takamitsu Matsubara
2022	J	`jnl`	q-Munchausen Reinforcement Learning. CoRR Lingwei Zhu, Zheng Chen, Eiji Uchibe, Takamitsu Matsubara
2021	J	`jnl`	Autonomous boat driving system using sample-efficient model predictive control-based reinforcement learning approach. J. Field Robotics Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara
2021	A*	`conf`	Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies. ICRA Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
2021	J	`jnl`	Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies. CoRR Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
2021	J	`jnl`	Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA. CoRR Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara
2021	J	`jnl`	Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA. IEEE Robotics Autom. Lett. Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara
2021	C	`conf`	Cautious Actor-Critic. ACML Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara
2021	J	`jnl`	Cautious Actor-Critic. CoRR Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara
2021	J	`jnl`	Cautious Policy Programming: Exploiting KL Regularization in Monotonic Policy Improvement for Reinforcement Learning. CoRR Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara
2021	A*	`conf`	Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport. ICRA Kazuki Shibata, Tomohiko Jimbo, Takamitsu Matsubara
2021	J	`jnl`	Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport. CoRR Kazuki Shibata, Tomohiko Jimbo, Takamitsu Matsubara
2021	J	`jnl`	Design of physical user-robot interactions for model identification of soft actuators on exoskeleton robots. Int. J. Robotics Res. Masashi Hamaya, Takamitsu Matsubara, Tatsuya Teramae, Tomoyuki Noda, Jun Morimoto
2021	C	`conf`	Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. ACML Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara
2021	J	`jnl`	Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. CoRR Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara
2021	J	`jnl`	Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach. Adv. Robotics Keiji Nagatani, Masato Abe, Koichi Osuka, Pang-jo Chun, Takayuki Okatani, Mayuko Nishio, Shota Chikushi, Takamitsu Matsubara, Yusuke Ikemoto, Hajime Asama
2021	A	`conf`	Learning Robotic Contact Juggling. IROS Kazutoshi Tanaka, Masashi Hamaya, Devwrat Joshi, Felix von Drigalski, Ryo Yonetani, Takamitsu Matsubara, Yoshihisa Ijiri
2021	J	`jnl`	Robust shape estimation with false-positive contact detection. CoRR Kazuki Shibata, Tatsuya Miyano, Tomohiko Jimbo, Takamitsu Matsubara
2021	J	`jnl`	Sample-efficient Gear-ratio Optimization for Biomechanical Energy Harvester. CoRR Taisuke Kobayashi, Yutaro Ikawa, Takamitsu Matsubara
2021	J	`jnl`	Tactile Perception Based on Injected Vibration in Soft Sensor. IEEE Robotics Autom. Lett. Naoto Komeno, Takamitsu Matsubara
2021	J	`jnl`	Tactile Perception based on Injected Vibration in Soft Sensor. CoRR Naoto Komeno, Takamitsu Matsubara
2021	J	`jnl`	Uncertainty-Aware Contact-Safe Model-Based Reinforcement Learning. IEEE Robotics Autom. Lett. Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara
2021	J	`jnl`	Variational Policy Search using Sparse Gaussian Process Priors for Learning Multimodal Optimal Actions. CoRR Hikaru Sasaki, Takamitsu Matsubara
2021	J	`jnl`	Variational policy search using sparse Gaussian process priors for learning multimodal optimal actions. Neural Networks Hikaru Sasaki, Takamitsu Matsubara
2020	J	`jnl`	Bayesian Policy Optimization for Waste Crane With Garbage Inhomogeneity. IEEE Robotics Autom. Lett. Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Yukio Onuki, Takamitsu Matsubara
2020	—	`conf`	Combining Model Predictive Path Integral with Kalman Variational Auto-encoder for Robot Control from Raw Images. SII Yuhwan Kwon, Takumi Kaneko, Yoshihisa Tsurumine, Hikaru Sasaki, Kimiko Motonaka, Seiji Miyoshi, Takamitsu Matsubara
2020	A*	`conf`	Contact-based in-hand pose estimation using Bayesian state estimation and particle filtering. ICRA Felix von Drigalski, Shohei Taniguchi, Robert Lee, Takamitsu Matsubara, Masashi Hamaya, Kazutoshi Tanaka, Yoshihisa Ijiri
2020	A*	`conf`	Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning. ICRA Lingwei Zhu, Yunduan Cui, Takamitsu Matsubara
2020	J	`jnl`	Ensuring Monotonic Policy Improvement in Entropy-regularized Value-based Reinforcement Learning. CoRR Lingwei Zhu, Takamitsu Matsubara
2020	J	`jnl`	Exploiting Visual-Outer Shape for Tactile-Inner Shape Estimation of Objects Covered with Soft Materials. IEEE Robotics Autom. Lett. Tomoya Miyamoto, Hikaru Sasaki, Takamitsu Matsubara
2020	J	`jnl`	Learning Contact-Rich Manipulation Tasks with Rigid Position-Controlled Robots: Learning to Force Control. CoRR Cristian Camilo Beltran-Hernandez, Damien Petit, Ixchel Georgina Ramirez-Alpizar, Takayuki Nishi, Shinichi Kikuchi, Takamitsu Matsubara, Kensuke Harada
2020	—	`conf`	Learning Food-arrangement Policies from Raw Images with Generative Adversarial Imitation Learning. UR Junki Matsuoka, Yoshihisa Tsurumine, Yuhwan Kwon, Takamitsu Matsubara, Takeshi Shimmura, Sadao Kawamura
2020	J	`jnl`	Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots. IEEE Robotics Autom. Lett. Cristian Camilo Beltran-Hernandez, Damien Petit, Ixchel Georgina Ramirez-Alpizar, Takayuki Nishi, Shinichi Kikuchi, Takamitsu Matsubara, Kensuke Harada
2020	A	`conf`	Learning Soft Robotic Assembly Strategies from Successful and Failed Demonstrations. IROS Masashi Hamaya, Felix von Drigalski, Takamitsu Matsubara, Kazutoshi Tanaka, Robert Lee, Chisato Nakashima, Yoshiya Shibata, Yoshihisa Ijiri
2020	J	`jnl`	Probabilistic active filtering with gaussian processes for occluded object search in clutter. Appl. Intell. Yunduan Cui, Junichiro Ooga, Akihito Ogawa, Takamitsu Matsubara
2020	J	`jnl`	Quaternion-Based Trajectory Optimization of Human Postures for Inducing Target Muscle Activation Patterns. IEEE Robotics Autom. Lett. Tatsuya Teramae, Takamitsu Matsubara, Tomoyuki Noda, Jun Morimoto
2020	J	`jnl`	Robust shape estimation with false-positive contact detection. Robotics Auton. Syst. Kazuki Shibata, Tatsuya Miyano, Tomohiko Jimbo, Takamitsu Matsubara
2020	A*	`conf`	Sample-and-computation-efficient Probabilistic Model Predictive Control with Random Features. ICRA Cheng-Yu Kuo, Yunduan Cui, Takamitsu Matsubara
2020	J	`jnl`	Uncertainty-aware Contact-safe Model-based Reinforcement Learning. CoRR Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara
2019	J	`jnl`	Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation. Robotics Auton. Syst. Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara
2019	J	`jnl`	Environment-adaptive interaction primitives through visual context for human-robot motor skill learning. Auton. Robots Yunduan Cui, James Poon, Jaime Valls Miró, Kimitoshi Yamazaki, Kenji Sugimoto, Takamitsu Matsubara
2019	A*	`conf`	Exploiting Human and Robot Muscle Synergies for Human-in-the-loop Optimization of EMG-based Assistive Strategies. ICRA Masashi Hamaya, Takamitsu Matsubara, Jun-ichiro Furukawa, Yuting Sun, Satoshi Yagi, Tatsuya Teramae, Tomoyuki Noda, Jun Morimoto
2019	—	`conf`	Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation. Humanoids Yoshihisa Tsurumine, Yunduan Cui, Kimitoshi Yamazaki, Takamitsu Matsubara
2019	—	`conf`	Learning Deep Dynamical Models of a Waste Incineration Plant from In-furnace Images and Process Data. CASE Takumi Kaneko, Yoshihisa Tsurumine, James Poon, Yukio Onuki, Yingda Dai, Kaoru Kawabata, Takamitsu Matsubara
2019	J	`jnl`	Learning from demonstration for locally assistive mobility aids. Int. J. Intell. Robotics Appl. James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara
2019	A*	`conf`	Multimodal Policy Search using Overlapping Mixtures of Sparse Gaussian Process Prior. ICRA Hikaru Sasaki, Takamitsu Matsubara
2019	A*	`conf`	Probabilistic Active Filtering for Object Search in Clutter. ICRA James Poon, Yunduan Cui, Junichiro Ooga, Akihito Ogawa, Takamitsu Matsubara
2019	A	`conf`	Reinforcement Learning Boat Autopilot: A Sample-efficient and Model Predictive Control based Approach. IROS Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara
2019	J	`jnl`	Reinforcement Learning Ship Autopilot: Sample-efficient and Model Predictive Control-based Approach. CoRR Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara
2019	J	`jnl`	Special issue on artificial intelligence and machine learning for robotic manipulation. Adv. Robotics Akihiko Yamaguchi, Takamitsu Matsubara, Nikolaus Vahrenkamp, Oliver Kroemer, Kensuke Harada
2018	—	`conf`	Bayesian Optimisation of Exoskeleton Design Parameters. BioRob Daniel F. N. Gordon, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto, Sethu Vijayakumar
2018	—	`conf`	Biomechanical Energy Harvester with Continuously Variable Transmission: Prototyping and Preliminary Evaluation. AIM Yutaro Ikawa, Taisuke Kobayashi, Takamitsu Matsubara
2018	—	`conf`	Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control. CASE Yunduan Cui, Lingwei Zhu, Morihiro Fujisaki, Hiroaki Kanokogi, Takamitsu Matsubara
2018	—	`conf`	Folding Behavior Acquisition of A Shirt Placed on the Chest of a Dual-Arm Robot. ICIA Yaqiang Mo, Takamitsu Matsubara, Kimitoshi Yamazaki
2018	C	`conf`	Learning Mobility Aid Assistance via Decoupled Observation Models. ICARCV James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara
2018	—	`conf`	Policy Transfer from Simulations to Real World by Transfer Component Analysis. CASE Takamitsu Matsubara, Yu Norinaga, Yuto Ozawa, Yunduan Cui
2018	—	`conf`	Probabilistic Pose Estimation of Deformable Linear Objects. CASE Yujun Lai, James Poon, Gavin Paul, Haifeng Han, Takamitsu Matsubara
2017	J	`jnl`	Active tactile exploration with uncertainty and travel cost for fast shape estimation of unknown objects. Robotics Auton. Syst. Takamitsu Matsubara, Kotaro Shibata
2017	A	`conf`	Deep dynamic policy programming for robot control with raw images. IROS Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara
2017	J	`jnl`	Generation of comfortable lifting motion for a human transfer assistant robot. Int. J. Intell. Robotics Appl. Ming Ding, Takamitsu Matsubara, Yoshihito Funaki, Ryojun Ikeura, Toshiharu Mukai, Tsukasa Ogasawara
2017	—	`conf`	Hanging work of T-shirt in consideration of deformability and stretchability. ICIA Yosuke Koishihara, Solvi Arnold, Kimitoshi Yamazaki, Takamitsu Matsubara
2017	J	`jnl`	Kernel dynamic policy programming: Applicable reinforcement learning to robot systems with high dimensional states. Neural Networks Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
2017	—	`conf`	Kullback Leibler control approach to rubber band manipulation. SII Masaki Murase, Kimitoshi Yamazaki, Takamitsu Matsubara
2017	J	`jnl`	Learning assistive strategies for exoskeleton robots from user-robot physical interaction. Pattern Recognit. Lett. Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto
2017	—	`conf`	Learning discriminative intention predictors for sit-to-stand assistance. SII Yuki Ishikura, Takamitsu Matsubara, Kenji Sugimoto, Yusuke Kato, Tsuyoshi Inoue, Jun Ozawa
2017	A*	`conf`	Learning task-parametrized assistive strategies for exoskeleton robots by multi-task reinforcement learning. ICRA Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto
2017	A*	`conf`	Local driving assistance from demonstration for mobility aids. ICRA James Poon, Yunduan Cui, Jaime Valls Miró, Takamitsu Matsubara, Kenji Sugimoto
2017	—	`conf`	Model-based reinforcement learning approach for deformable linear object manipulation. CASE Haifeng Han, Gavin Paul, Takamitsu Matsubara
2017	J	`jnl`	Pneumatic artificial muscle-driven robot control using local update reinforcement learning. Adv. Robotics Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
2017	A	`conf`	User-robot collaborative excitation for PAM model identification in exoskeleton robots. IROS Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto
2016	—	`conf`	Active touch point selection with travel cost in tactile exploration for fast shape estimation of unknown objects. AIM Takamitsu Matsubara, Kotaro Shibata, Kenji Sugimoto
2016	—	`conf`	An approach to realistic physical simulation of digitally captured deformable linear objects. SIMPAR Nahum Álvarez, Kimitoshi Yamazaki, Takamitsu Matsubara
2016	—	`conf`	Data-efficient human training of a care motion controller for human transfer assistant robots using Bayesian optimization. BioRob Takamitsu Matsubara, Yoshihito Funaki, Ming Ding, Tsukasa Ogasawara, Kenji Sugimoto
2016	—	`conf`	Environment-adaptive interaction primitives for human-robot motor skill learning. Humanoids Yunduan Cui, James Poon, Takamitsu Matsubara, Jaime Valls Miró, Kenji Sugimoto, Kimitoshi Yamazaki
2016	J	`jnl`	Input-Output Manifold Learning with State Space Models. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Daisuke Tanaka, Takamitsu Matsubara, Kenji Sugimoto
2016	—	`conf`	Kernel dynamic policy programming: Practical reinforcement learning for high-dimensional robots. Humanoids Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
2016	—	`conf`	Latent Kullback-Leibler control for dynamic imitation learning of whole-body behaviors in humanoid robots. Humanoids Yuka Ariki, Takamitsu Matsubara, Sang-Ho Hyon
2016	A*	`conf`	Learning assistive strategies from a few user-robot interactions: Model-based reinforcement learning approach. ICRA Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto
2015	J	`jnl`	Dynamic Linear Bellman Combination of Optimal Policies for Solving New Tasks. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Takamitsu Matsubara, Takaya Asakura, Kenji Sugimoto
2015	—	`conf`	Local Update Dynamic Policy Programming in reinforcement learning of pneumatic artificial muscle-driven humanoid hand control. Humanoids Yunduan Cui, Takamitsu Matsubara, Kenji Sugimoto
2015	B	`conf`	Reinforcement learning of shared control for dexterous telemanipulation: Application to a page turning skill. RO-MAN Takamitsu Matsubara, Takahiro Hasegawa, Kenji Sugimoto
2015	B	`conf`	Sequential intention estimation of a mobility aid user for intelligent navigational assistance. RO-MAN Takamitsu Matsubara, Jaime Valls Miró, Daisuke Tanaka, James Poon, Kenji Sugimoto
2015	J	`jnl`	Spatiotemporal synchronization of biped walking patterns with multiple external inputs by style-phase adaptation. Biol. Cybern. Takamitsu Matsubara, Akimasa Uchikata, Jun Morimoto
2014	—	`conf`	An optimal control approach for exploratory actions in active tactile object recognition. Humanoids Daisuke Tanaka, Takamitsu Matsubara, Kenji Sugimoto
2014	A	`conf`	Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models. UAI Takamitsu Matsubara, Vicenç Gómez, Hilbert J. Kappen
2014	J	`jnl`	Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models. CoRR Takamitsu Matsubara, Vicenç Gómez, Hilbert J. Kappen
2014	A	`conf`	Object manifold learning with action features for active tactile object recognition. IROS Daisuke Tanaka, Takamitsu Matsubara, Kentaro Ichien, Kenji Sugimoto
2014	B	`conf`	Real-time estimation of Human-Cloth topological relationship using depth sensor for robotic clothing assistance. RO-MAN Nishanth Koganti, Tomoya Tamei, Takamitsu Matsubara, Tomohiro Shibata
2014	—	`conf`	Style-phase adaptation of human and humanoid biped walking patterns in real systems. Humanoids Takamitsu Matsubara, Daisuke Uto, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto
2014	—	`conf`	Task-adaptive inertial parameter estimation of rigid-body dynamics with modeling error for model-based control using covariate shift adaptation. AIM Takamitsu Matsubara, Hiroaki Takada, Kenji Sugimoto
2013	J	`jnl`	Bilinear Modeling of EMG Signals to Extract User-Independent Features for Multiuser Myoelectric Interface. IEEE Trans. Biomed. Eng. Takamitsu Matsubara, Jun Morimoto
2013	—	`conf`	Estimation of Human Cloth Topological Relationship using Depth Sensor for Robotic Clothing Assistance. AIR Nishanth Koganti, Tomoya Tamei, Takamitsu Matsubara, Tomohiro Shibata
2013	J	`jnl`	Reinforcement learning of a motor skill for wearing a T-shirt using topology coordinates. Adv. Robotics Takamitsu Matsubara, Daisuke Shinohara, Masatsugu Kidode
2012	B	`conf`	Adaptive choreography for user's preferences on personal robots. RO-MAN Takamitsu Matsubara, Shizuko Matsuzoe, Masatsugu Kidode
2012	A	`conf`	Full-body exoskeleton robot control for walking assistance by style-phase adaptive pattern generation. IROS Takamitsu Matsubara, Akimasa Uchikata, Jun Morimoto
2012	J	`jnl`	Real-time stylistic prediction for whole-body human motions. Neural Networks Takamitsu Matsubara, Sang-Ho Hyon, Jun Morimoto
2012	A*	`conf`	Spatio-temporal synchronization of periodic movements by style-phase adaptation: Application to biped walking. ICRA Takamitsu Matsubara, Akimasa Uchikata, Jun Morimoto
2011	—	`conf`	An optimal control approach for hybrid actuator system. Humanoids Takamitsu Matsubara, Tomoyuki Noda, Sang-Ho Hyon, Jun Morimoto
2011	—	`conf`	Learning Parametric Inverse Dynamics Models from multiple conditions for fast adaptive computed torque control. ROBIO Yasuhito Horiguchi, Takamitsu Matsubara, Masatsugu Kidode
2011	—	`conf`	Learning and adaptation of a Stylistic Myoelectric Interface: EMG-based robotic control with individual user differences. ROBIO Takamitsu Matsubara, Sang-Ho Hyon, Jun Morimoto
2011	—	`conf`	Learning motor skills with non-rigid materials by reinforcement learning. ROBIO Daisuke Shinohara, Takamitsu Matsubara, Masatsugu Kidode
2011	J	`jnl`	Learning parametric dynamic movement primitives from multiple demonstrations. Neural Networks Takamitsu Matsubara, Sang-Ho Hyon, Jun Morimoto
2011	—	`conf`	Reinforcement learning of clothing assistance with a dual-arm robot. Humanoids Tomoya Tamei, Takamitsu Matsubara, Akshara Rai, Tomohiro Shibata
2011	A	`conf`	XoR: Hybrid drive exoskeleton robot that can balance. IROS Sang-Ho Hyon, Jun Morimoto, Takamitsu Matsubara, Tomoyuki Noda, Mitsuo Kawato
2010	C	`conf`	Adaptive Step-size Policy Gradients with Average Reward Metric. ACML Takamitsu Matsubara, Tetsuro Morimura, Jun Morimoto
2010	—	`conf`	Learning Basis Representations of Inverse Dynamics Models for Real-Time Adaptive Control. ICONIP (2) Yasuhito Horiguchi, Takamitsu Matsubara, Masatsugu Kidode
2010	—	`conf`	Learning Parametric Dynamic Movement Primitives from Multiple Demonstrations. ICONIP (1) Takamitsu Matsubara, Sang-Ho Hyon, Jun Morimoto
2010	A	`conf`	Learning Stylistic Dynamic Movement Primitives from multiple demonstrations. IROS Takamitsu Matsubara, Sang-Ho Hyon, Jun Morimoto
2010	A*	`conf`	Optimal Feedback Control for anthropomorphic manipulators. ICRA Djordje Mitrovic, Sho Nagashima, Stefan Klanke, Takamitsu Matsubara, Sethu Vijayakumar
2008	J	`jnl`	Highly Precise Dynamic Simulation Environment for Humanoid Robots. Adv. Robotics Joshua G. Hale, Benjamin Hohl, Sang-Ho Hyon, Takamitsu Matsubara, Eduardo Martin Moraud, Gordon Cheng
2008	J	`jnl`	Learning CPG-based Biped Locomotion with a Policy Gradient Method: Application to a Humanoid Robot. Int. J. Robotics Res. Gen Endo, Jun Morimoto, Takamitsu Matsubara, Jun Nakanishi, Gordon Cheng
2008	J	`jnl`	Learning to Acquire Whole-Body Humanoid Center of Mass Movements to Achieve Dynamic Tasks. Adv. Robotics Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Sang-Ho Hyon, Joshua G. Hale, Gordon Cheng
2007	J	`jnl`	Learning a dynamic policy by using policy gradient: application to biped walking. Syst. Comput. Jpn. Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
2007	A*	`conf`	Learning to acquire whole-body humanoid CoM movements to achieve dynamic tasks. ICRA Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Sang-Ho Hyon, Joshua G. Hale, Gordon Cheng
2006	J	`jnl`	Learning CPG-based biped locomotion with a policy gradient method. Robotics Auton. Syst. Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
2005	A*	`conf`	Learning CPG Sensory Feedback with Policy Gradient for Biped Locomotion for a Full-Body Humanoid. AAAI Gen Endo, Jun Morimoto, Takamitsu Matsubara, Jun Nakanishi, Gordon Cheng
2005	—	`conf`	Learning CPG-based biped locomotion with a policy gradient method. Humanoids Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya
2005	A*	`conf`	Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion. ICRA Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya