Papers citing 'Disturbance-Injected Robust Imitation Learning with Task Achievement'

Title
Learning to Capture Rocks using an Excavator: A Reinforcement Learning Approach with Guiding Reward Formulation Amirmasoud Molaei Mohammad Heravi R. Ghabcheloo OffRL 94 0 0 05 Oct 2025
Self-Augmented Robot Trajectory: Efficient Imitation Learning via Safe Self-augmentation with Demonstrator-annotated Precision Hanbit Oh Masaki Murooka Tomohiro Motoda Ryoichi Nakajo Y. Domae 69 0 0 11 Sep 2025
DAPPER: Discriminability-Aware Policy-to-Policy Preference-Based Reinforcement Learning for Query-Efficient Robot Skill Acquisition Yuki Kadokawa Jonas Frey Takahiro Miki Takamitsu Matsubara Marco Hutter 163 0 0 09 May 2025
Feasibility-aware Imitation Learning from Observations through a Hand-mounted Demonstration InterfaceIEEE International Conference on Robotics and Automation (ICRA), 2025 Kei Takahashi Hikaru Sasaki Takamitsu Matsubara 181 0 0 13 Mar 2025
A Biologically Inspired Design Principle for Building Robust Robotic Systems Xing Li Oussama Zenkri Adrian Pfisterer Oliver Brock 179 0 0 19 Aug 2024
Disturbance Injection under Partial Automation: Robust Imitation Learning for Long-horizon TasksIEEE Robotics and Automation Letters (RA-L), 2023 Hirotaka Tahara Hikaru Sasaki Hanbit Oh Edgar Anarossi Takamitsu Matsubara 153 4 0 22 Mar 2023
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies for Robot ManipulationNeural Networks (NN), 2022 Hanbit Oh Hikaru Sasaki B. Michael Takamitsu Matsubara 132 13 0 07 Nov 2022
Augmentation for Learning From Demonstration with Environmental Constraints Xing Li Manuel Baum Oliver Brock 112 0 0 13 Oct 2022
Learning Human Body Motions from Skeleton-Based Observations for Robot-Assisted Therapy Natalia Quiroga Alex Mitrevski Paul G. Plöger 121 2 0 25 Jul 2022