| 2025 | IROS | ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot Control. | Yoshiki Yano, Kazuki Shibata, Maarten Kokshoorn, Takamitsu Matsubara |
| 2025 | ICRA | Feasibility-Aware Imitation Learning from Observations Through a Hand-Mounted Demonstration Interface. | Kei Takahashi, Hikaru Sasaki, Takamitsu Matsubara |
| 2024 | IROS | Domain Randomization-free Sim-to-Real : An Attention-Augmented Memory Approach for Robotic Tasks. | Jia Qu, Shun Otsubo, Tomoya Yamanokuchi, Takamitsu Matsubara, Shotaro Miwa |
| 2023 | IROS | Domains as Objectives: Multi-Domain Reinforcement Learning with Convex-Coverage Set Learning for Domain Uncertainty Awareness. | Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Takamitsu Matsubara |
| 2022 | ICRA | Gaussian Process Self-triggered Policy Search in Weakly Observable Environments. | Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara |
| 2022 | ICRA | Disturbance-injected Robust Imitation Learning with Task Achievement. | Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Brendan Michael, Takamitsu Matsubara |
| 2021 | ACML | Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning. | Toshinori Kitamura, Lingwei Zhu, Takamitsu Matsubara |
| 2021 | ACML | Cautious Actor-Critic. | Lingwei Zhu, Toshinori Kitamura, Takamitsu Matsubara |
| 2021 | ICRA | Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies. | Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara |
| 2021 | IROS | Learning Robotic Contact Juggling. | Kazutoshi Tanaka, Masashi Hamaya, Devwrat Joshi, Felix von Drigalski, Ryo Yonetani, Takamitsu Matsubara, Yoshihisa Ijiri |
| 2021 | ICRA | Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport. | Kazuki Shibata, Tomohiko Jimbo, Takamitsu Matsubara |
| 2020 | ICRA | Contact-based in-hand pose estimation using Bayesian state estimation and particle filtering. | Felix Von Drigalski, Shohei Taniguchi, Robert Lee, Takamitsu Matsubara, Masashi Hamaya, Kazutoshi Tanaka, Yoshihisa Ijiri |
| 2020 | ICRA | Sample-and-computation-efficient Probabilistic Model Predictive Control with Random Features. | Cheng-Yu Kuo, Yunduan Cui, Takamitsu Matsubara |
| 2020 | IROS | Learning Soft Robotic Assembly Strategies from Successful and Failed Demonstrations. | Masashi Hamaya, Felix von Drigalski, Takamitsu Matsubara, Kazutoshi Tanaka, Robert Lee, Chisato Nakashima, Yoshiya Shibata, Yoshihisa Ijiri |
| 2020 | ICRA | Dynamic Actor-Advisor Programming for Scalable Safe Reinforcement Learning. | Lingwei Zhu, Yunduan Cui, Takamitsu Matsubara |
| 2019 | ICRA | Exploiting Human and Robot Muscle Synergies for Human-in-the-loop Optimization of EMG-based Assistive Strategies. | Masashi Hamaya, Takamitsu Matsubara, Jun-ichiro Furukawa, Yuting Sun, Satoshi Yagi, Tatsuya Teramae, Tomoyuki Noda, Jun Morimoto |
| 2019 | ICRA | Probabilistic Active Filtering for Object Search in Clutter. | James Poon, Yunduan Cui, Junichiro Ooga, Akihito Ogawa, Takamitsu Matsubara |
| 2019 | IROS | Reinforcement Learning Boat Autopilot: A Sample-efficient and Model Predictive Control based Approach. | Yunduan Cui, Shigeki Osaki, Takamitsu Matsubara |
| 2019 | ICRA | Multimodal Policy Search using Overlapping Mixtures of Sparse Gaussian Process Prior. | Hikaru Sasaki, Takamitsu Matsubara |
| 2018 | ICARCV | Learning Mobility Aid Assistance via Decoupled Observation Models. | James Poon, Yunduan Cui, Jaime Valls Mir, Takamitsu Matsubara |
| 2017 | ICRA | Learning task-parametrized assistive strategies for exoskeleton robots by multi-task reinforcement learning. | Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto |
| 2017 | ICRA | Local driving assistance from demonstration for mobility aids. | James Poon, Yunduan Cui, Jaime Valls Mir, Takamitsu Matsubara, Kenji Sugimoto |
| 2017 | IROS | User-robot collaborative excitation for PAM model identification in exoskeleton robots. | Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto |
| 2017 | IROS | Deep dynamic policy programming for robot control with raw images. | Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara |
| 2016 | ICRA | Learning assistive strategies from a few user-robot interactions: Model-based reinforcement learning approach. | Masashi Hamaya, Takamitsu Matsubara, Tomoyuki Noda, Tatsuya Teramae, Jun Morimoto |
| 2015 | RO-MAN | Reinforcement learning of shared control for dexterous telemanipulation: Application to a page turning skill. | Takamitsu Matsubara, Takahiro Hasegawa, Kenji Sugimoto |
| 2015 | RO-MAN | Sequential intention estimation of a mobility aid user for intelligent navigational assistance. | Takamitsu Matsubara, Jaime Valls Mir, Daisuke Tanaka, James Poon, Kenji Sugimoto |
| 2014 | IROS | Object manifold learning with action features for active tactile object recognition. | Daisuke Tanaka, Takamitsu Matsubara, Kentaro Ichien, Kenji Sugimoto |
| 2014 | RO-MAN | Real-time estimation of Human-Cloth topological relationship using depth sensor for robotic clothing assistance. | Nishanth Koganti, Tomoya Tamei, Takamitsu Matsubara, Tomohiro Shibata |
| 2014 | UAI | Latent Kullback Leibler Control for Continuous-State Systems using Probabilistic Graphical Models. | Takamitsu Matsubara, Vicen Gmez, Hilbert J. Kappen |
| 2012 | ICRA | Spatio-temporal synchronization of periodic movements by style-phase adaptation: Application to biped walking. | Takamitsu Matsubara, Akimasa Uchikata, Jun Morimoto |
| 2012 | IROS | Full-body exoskeleton robot control for walking assistance by style-phase adaptive pattern generation. | Takamitsu Matsubara, Akimasa Uchikata, Jun Morimoto |
| 2012 | RO-MAN | Adaptive choreography for user's preferences on personal robots. | Takamitsu Matsubara, Shizuko Matsuzoe, Masatsugu Kidode |
| 2011 | IROS | XoR: Hybrid drive exoskeleton robot that can balance. | Sang-Ho Hyon, Jun Morimoto, Takamitsu Matsubara, Tomoyuki Noda, Mitsuo Kawato |
| 2010 | ICONIP | Learning Basis Representations of Inverse Dynamics Models for Real-Time Adaptive Control. | Yasuhito Horiguchi, Takamitsu Matsubara, Masatsugu Kidode |
| 2010 | ICONIP | Learning Parametric Dynamic Movement Primitives from Multiple Demonstrations. | Takamitsu Matsubara, Sang-Ho Hyon, Jun Morimoto |
| 2010 | ICRA | Optimal Feedback Control for anthropomorphic manipulators. | Djordje Mitrovic, Sho Nagashima, Stefan Klanke, Takamitsu Matsubara, Sethu Vijayakumar |
| 2010 | IROS | Learning Stylistic Dynamic Movement Primitives from multiple demonstrations. | Takamitsu Matsubara, Sang-Ho Hyon, Jun Morimoto |
| 2007 | ICRA | Learning to acquire whole-body humanoid CoM movements to achieve dynamic tasks. | Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Sang-Ho Hyon, Joshua G. Hale, Gordon Cheng |
| 2005 | AAAI | Learning CPG Sensory Feedback with Policy Gradient for Biped Locomotion for a Full-Body Humanoid. | Gen Endo, Jun Morimoto, Takamitsu Matsubara, Jun Nakanishi, Gordon Cheng |
| 2005 | ICRA | Learning Sensory Feedback to CPG with Policy Gradient for Biped Locomotion. | Takamitsu Matsubara, Jun Morimoto, Jun Nakanishi, Masa-aki Sato, Kenji Doya |