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Disturbance-Injected Robust Imitation Learning with Task Achievement

Disturbance-Injected Robust Imitation Learning with Task Achievement

IEEE International Conference on Robotics and Automation (ICRA), 2022
9 May 2022
Hirotaka Tahara
Hikaru Sasaki
Hanbit Oh
B. Michael
Takamitsu Matsubara
ArXiv (abs)PDFHTML

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

9 / 9 papers shown
Title
Learning to Capture Rocks using an Excavator: A Reinforcement Learning Approach with Guiding Reward Formulation
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
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
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
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 Tasks
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 Manipulation
Bayesian Disturbance Injection: Robust Imitation Learning of Flexible Policies for Robot ManipulationNeural Networks (NN), 2022
Hanbit Oh
Hikaru Sasaki
B. Michael
Takamitsu Matsubara
136
13
0
07 Nov 2022
Augmentation for Learning From Demonstration with Environmental
  Constraints
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
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
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