Yoshihisa Tsurumine

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 17

Top Topics

Partially Observable Domains

Imitation Learning

Top Venues

IEEE Robotics Autom. Lett.

Robotics Auton. Syst.

Publications

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)
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)
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)
Yuhwan Kwon, Yoshihisa Tsurumine, Takeshi Shimmura, Sadao Kawamura, Takamitsu Matsubara
Physically Consistent Preferential Bayesian Optimization for Food Arrangement. 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)
Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara
Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization. CoRR (2022)
Yoshihisa Tsurumine, Takamitsu Matsubara
Goal-Aware Generative Adversarial Imitation Learning from Imperfect Demonstration for Robotic Cloth Manipulation. CoRR (2022)
Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara
Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA. 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)
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)
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)
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)
Yoshihisa Tsurumine, Yunduan Cui, Kimitoshi Yamazaki, Takamitsu Matsubara
Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation. Humanoids (2019)
Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara
Deep dynamic policy programming for robot control with raw images. IROS (2017)