Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies. - Hanbit Oh; Hikaru Sasaki; Brendan Michael; Takamitsu Matsubara (ICRA, 2021)

Disturbance-injected Robust Imitation Learning with Task Achievement. - Hirotaka Tahara; Hikaru Sasaki; Hanbit Oh; Brendan Michael; Takamitsu Matsubara (ICRA, 2022)

Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation. - Hanbit Oh; Hikaru Sasaki; Brendan Michael; Takamitsu Matsubara (Neural Networks, 2023)

Disturbance Injection Under Partial Automation: Robust Imitation Learning for Long-Horizon Tasks. - Hirotaka Tahara; Hikaru Sasaki; Hanbit Oh; Edgar Anarossi; Takamitsu Matsubara (IEEE Robotics Autom. Lett., 2023)

ISPIL: Interactive Sub-Goal-Planning Imitation Learning for Long-Horizon Tasks With Diverse Goals. - Cynthia Ochoa; Hanbit Oh; Yuhwan Kwon; Yukiyasu Domae; Takamitsu Matsubara (IEEE Access, 2024)

Leveraging Demonstrator-Perceived Precision for Safe Interactive Imitation Learning of Clearance-Limited Tasks. - Hanbit Oh; Takamitsu Matsubara (IEEE Robotics Autom. Lett., 2024)

Robust Instant Policy: Leveraging Student's t-Regression Model for Robust In-context Imitation Learning of Robot Manipulation. - Hanbit Oh; Andrea M. Salcedo-Vázquez; Ixchel Georgina Ramirez-Alpizar; Yukiyasu Domae (CoRR, 2025)