Hikaru Sasaki

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 20

Top Topics

Imitation Learning

Top Venues

IEEE Robotics Autom. Lett.

Neural Networks

Publications

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)
Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Edgar Anarossi, Takamitsu Matsubara
Disturbance Injection under Partial Automation: Robust Imitation Learning for Long-horizon Tasks. CoRR (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)
Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Brendan Michael, Takamitsu Matsubara
Disturbance-Injected Robust Imitation Learning with Task Achievement. CoRR (2022)
Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara
Gaussian Process Self-triggered Policy Search in Weakly Observable Environments. ICRA (2022)
Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies for Robot Manipulation. CoRR (2022)
Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara
Gaussian Process Self-triggered Policy Search in Weakly Observable Environments. CoRR (2022)
Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Brendan Michael, Takamitsu Matsubara
Disturbance-injected Robust Imitation Learning with Task Achievement. ICRA (2022)
Hikaru Sasaki, Takamitsu Matsubara
Variational policy search using sparse Gaussian process priors for learning multimodal optimal actions. Neural Networks 143 (2021)
Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies. CoRR (2021)
Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies. ICRA (2021)
Hikaru Sasaki, Takamitsu Matsubara
Variational Policy Search using Sparse Gaussian Process Priors for Learning Multimodal Optimal Actions. CoRR (2021)
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)
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)
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)
Hikaru Sasaki, Takamitsu Matsubara
Multimodal Policy Search using Overlapping Mixtures of Sparse Gaussian Process Prior. ICRA (2019)
Mika Aoki, Tomoyuki Shimono, Takuya Matsunaga, Takahiro Mizoguchi, Shunsuke Shibao, Hikaru Sasaki, Kouhei Ohnishi
Identification Method of Environmental Stiffness using Haptic Forceps for Brain Surgery. AIM (2018)
Hikaru Sasaki, Tadashi Horiuchi, Satoru Kato
Experimental Study on Behavior Acquisition of Mobile Robot by Deep Q-Network. J. Adv. Comput. Intell. Intell. Informatics 21 (5) (2017)