Hikaru Sasaki - RankMe

28 papers A* 5Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Feasibility-aware Imitation Learning from Observation with Multimodal Feedback. CoRR Kei Takahashi, Hikaru Sasaki, Takamitsu Matsubara
2026	J	`jnl`	Robotic system for chemical experiment automation with dual demonstration of end-effector and jig operations. Int. J. Intell. Robotics Appl. Hikaru Sasaki, Naoto Komeno, Takumi Hachimine, Kei Takahashi, Yu-ya Ohnishi, Tetsunori Sugawara, Araki Wakiuchi, Miho Hatanaka, Tomoyuki Miyao, Hiroharu Ajiro, Mikiya Fujii, Takamitsu Matsubara
2026	J	`jnl`	Task-Relevant and Irrelevant Region-Aware Augmentation for Generalizable Vision-Based Imitation Learning in Agricultural Manipulation. CoRR Shun Hattori, Hikaru Sasaki, Takumi Hachimine, Yusuke Mizutani, Takamitsu Matsubara
2025	J	`jnl`	Composite Gaussian Processes Flows for Learning Discontinuous Multimodal Policies. CoRR Shu-yuan Wang, Hikaru Sasaki, Takamitsu Matsubara
2025	J	`jnl`	Composite Gaussian processes flows for learning discontinuous multimodal policies. Appl. Intell. Shu-yuan Wang, Hikaru Sasaki, Takamitsu Matsubara
2025	A*	`conf`	Feasibility-Aware Imitation Learning from Observations Through a Hand-Mounted Demonstration Interface. ICRA Kei Takahashi, Hikaru Sasaki, Takamitsu Matsubara
2025	J	`jnl`	Feasibility-aware Imitation Learning from Observations through a Hand-mounted Demonstration Interface. CoRR Kei Takahashi, Hikaru Sasaki, Takamitsu Matsubara
2025	J	`jnl`	Robotic System for Chemical Experiment Automation with Dual Demonstration of End-effector and Jig Operations. CoRR Hikaru Sasaki, Naoto Komeno, Takumi Hachimine, Kei Takahashi, Yu-ya Ohnishi, Tetsunori Sugawara, Araki Wakiuchi, Miho Hatanaka, Tomoyuki Miyao, Hiroharu Ajiro, Mikiya Fujii, Takamitsu Matsubara
2023	J	`jnl`	Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation. Neural Networks Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
2023	J	`jnl`	Disturbance Injection Under Partial Automation: Robust Imitation Learning for Long-Horizon Tasks. IEEE Robotics Autom. Lett. Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Edgar Anarossi, Takamitsu Matsubara
2023	J	`jnl`	Disturbance Injection under Partial Automation: Robust Imitation Learning for Long-horizon Tasks. CoRR Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Edgar Anarossi, Takamitsu Matsubara
2023	J	`jnl`	Multi-step motion learning by combining learning-from-demonstration and policy-search. Adv. Robotics Yaqiang Mo, Hikaru Sasaki, Takamitsu Matsubara, Kimitoshi Yamazaki
2023	J	`jnl`	Policy Optimization for Waste Crane Automation From Human Preferences. IEEE Access Yuhwan Kwon, Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara
2022	J	`jnl`	Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies for Robot Manipulation. CoRR Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
2022	J	`jnl`	Disturbance-Injected Robust Imitation Learning with Task Achievement. CoRR Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Brendan Michael, Takamitsu Matsubara
2022	A*	`conf`	Disturbance-injected Robust Imitation Learning with Task Achievement. ICRA Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Brendan Michael, Takamitsu Matsubara
2022	A*	`conf`	Gaussian Process Self-triggered Policy Search in Weakly Observable Environments. ICRA Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara
2022	J	`jnl`	Gaussian Process Self-triggered Policy Search in Weakly Observable Environments. CoRR Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Takamitsu Matsubara
2021	A*	`conf`	Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies. ICRA Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
2021	J	`jnl`	Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies. CoRR Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara
2021	J	`jnl`	Variational Policy Search using Sparse Gaussian Process Priors for Learning Multimodal Optimal Actions. CoRR Hikaru Sasaki, Takamitsu Matsubara
2021	J	`jnl`	Variational policy search using sparse Gaussian process priors for learning multimodal optimal actions. Neural Networks Hikaru Sasaki, Takamitsu Matsubara
2020	J	`jnl`	Bayesian Policy Optimization for Waste Crane With Garbage Inhomogeneity. IEEE Robotics Autom. Lett. Hikaru Sasaki, Terushi Hirabayashi, Kaoru Kawabata, Yukio Onuki, Takamitsu Matsubara
2020	—	`conf`	Combining Model Predictive Path Integral with Kalman Variational Auto-encoder for Robot Control from Raw Images. SII Yuhwan Kwon, Takumi Kaneko, Yoshihisa Tsurumine, Hikaru Sasaki, Kimiko Motonaka, Seiji Miyoshi, Takamitsu Matsubara
2020	J	`jnl`	Exploiting Visual-Outer Shape for Tactile-Inner Shape Estimation of Objects Covered with Soft Materials. IEEE Robotics Autom. Lett. Tomoya Miyamoto, Hikaru Sasaki, Takamitsu Matsubara
2019	A*	`conf`	Multimodal Policy Search using Overlapping Mixtures of Sparse Gaussian Process Prior. ICRA Hikaru Sasaki, Takamitsu Matsubara
2018	—	`conf`	Identification Method of Environmental Stiffness using Haptic Forceps for Brain Surgery. AIM Mika Aoki, Tomoyuki Shimono, Takuya Matsunaga, Takahiro Mizoguchi, Shunsuke Shibao, Hikaru Sasaki, Kouhei Ohnishi
2017	J	`jnl`	Experimental Study on Behavior Acquisition of Mobile Robot by Deep Q-Network. J. Adv. Comput. Intell. Intell. Informatics Hikaru Sasaki, Tadashi Horiuchi, Satoru Kato