Hanbit Oh

According to our database, Hanbit Oh authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

2025

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, June, 2025

2024

Leveraging Demonstrator-Perceived Precision for Safe Interactive Imitation Learning of Clearance-Limited Tasks.

Hanbit Oh, Takamitsu Matsubara

IEEE Robotics Autom. Lett., 2024

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

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., May, 2023

Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation.

Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara

Neural Networks, January, 2023

2022

Disturbance-injected Robust Imitation Learning with Task Achievement.

Hirotaka Tahara, Hikaru Sasaki, Hanbit Oh, Brendan Michael, Takamitsu Matsubara

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies.

Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara

Proceedings of the IEEE International Conference on Robotics and Automation, 2021