Yoshihisa Tsurumine

According to our database, Yoshihisa Tsurumine authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization.

Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara

Robotics Auton. Syst., 2023

2022

Goal-aware generative adversarial imitation learning from imperfect demonstration for robotic cloth manipulation.

Yoshihisa Tsurumine, Takamitsu Matsubara

Robotics Auton. Syst., 2022

Randomized-to-Canonical Model Predictive Control for Real-World Visual Robotic Manipulation.

Tomoya Yamanokuchi, Yuhwan Kwon, Yoshihisa Tsurumine, Eiji Uchibe, Jun Morimoto, Takamitsu Matsubara

IEEE Robotics Autom. Lett., 2022

Physically Consistent Preferential Bayesian Optimization for Food Arrangement.

Yuhwan Kwon, Yoshihisa Tsurumine, Takeshi Shimmura, Sadao Kawamura, Takamitsu Matsubara

IEEE Robotics Autom. Lett., 2022

Variationally Autoencoded Dynamic Policy Programming for Robotic Cloth Manipulation Planning based on Raw Images.

Yoshihisa Tsurumine, Takamitsu Matsubara

Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

2021

Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA.

Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara

IEEE Robotics Autom. Lett., 2021

2020

Learning Food-arrangement Policies from Raw Images with Generative Adversarial Imitation Learning.

Junki Matsuoka, Yoshihisa Tsurumine, Yuhwan Kwon, Takamitsu Matsubara, Takeshi Shimmura, Sadao Kawamura

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.

Yuhwan Kwon, Takumi Kaneko, Yoshihisa Tsurumine, Hikaru Sasaki, Kimiko Motonaka, Seiji Miyoshi, Takamitsu Matsubara

Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, 2020

2019

Deep reinforcement learning with smooth policy update: Application to robotic cloth manipulation.

Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara

Robotics Auton. Syst., 2019

Generative Adversarial Imitation Learning with Deep P-Network for Robotic Cloth Manipulation.

Yoshihisa Tsurumine, Yunduan Cui, Kimitoshi Yamazaki, Takamitsu Matsubara

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.

Takumi Kaneko, Yoshihisa Tsurumine, James Poon, Yukio Onuki, Yingda Dai, Kaoru Kawabata, Takamitsu Matsubara

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2017

Deep dynamic policy programming for robot control with raw images.

Yoshihisa Tsurumine, Yunduan Cui, Eiji Uchibe, Takamitsu Matsubara

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017