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ORCIDHikaru Sasaki
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2020 – today
- 2023
[j8]Yuhwan Kwon
, Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara:
Policy Optimization for Waste Crane Automation From Human Preferences. IEEE Access 11: 126524-126541 (2023)- [j7]Yaqiang Mo, Hikaru Sasaki, Takamitsu Matsubara, Kimitoshi Yamazaki:
Multi-step motion learning by combining learning-from-demonstration and policy-search. Adv. Robotics 37(9): 560-575 (2023) - [j6]Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara:
Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation. Neural Networks 158: 42-58 (2023) - [j5]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): 2724-2731 (2023) - [i6]Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Edgar Anarossi, Takamitsu Matsubara:
Disturbance Injection under Partial Automation: Robust Imitation Learning for Long-horizon Tasks. CoRR abs/2303.12375 (2023) - 2022
- [c6]Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Brendan Michael, Takamitsu Matsubara:
Disturbance-injected Robust Imitation Learning with Task Achievement. ICRA 2022: 2466-2472 - [c5]Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara:
Gaussian Process Self-triggered Policy Search in Weakly Observable Environments. ICRA 2022: 5946-5952 - [i5]Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara:
Gaussian Process Self-triggered Policy Search in Weakly Observable Environments. CoRR abs/2205.03552 (2022) - [i4]Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Brendan Michael, Takamitsu Matsubara:
Disturbance-Injected Robust Imitation Learning with Task Achievement. CoRR abs/2205.04195 (2022) - [i3]Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara:
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies for Robot Manipulation. CoRR abs/2211.03393 (2022) - 2021
- [j4]Hikaru Sasaki, Takamitsu Matsubara:
Variational policy search using sparse Gaussian process priors for learning multimodal optimal actions. Neural Networks 143: 291-302 (2021) - [c4]Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara:
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies. ICRA 2021: 8629-8635 - [i2]Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara:
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies. CoRR abs/2103.13623 (2021) - [i1]Hikaru Sasaki, Takamitsu Matsubara:
Variational Policy Search using Sparse Gaussian Process Priors for Learning Multimodal Optimal Actions. CoRR abs/2106.07125 (2021) - 2020
- [j3]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): 4533-4540 (2020) - [j2]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): 6278-6285 (2020) - [c3]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: 271-276
2010 – 2019
- 2019
- [c2]Hikaru Sasaki, Takamitsu Matsubara:
Multimodal Policy Search using Overlapping Mixtures of Sparse Gaussian Process Prior. ICRA 2019: 2433-2439 - 2018
- [c1]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: 207-212 - 2017
- [j1]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): 840-848 (2017)
Coauthor Index
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