Search Results for author: I-Chun Arthur Liu

Found 3 papers, 2 papers with code

Learning Robot Manipulation from Cross-Morphology Demonstration

no code implementations7 Apr 2023 Gautam Salhotra, I-Chun Arthur Liu, Gaurav Sukhatme

Some Learning from Demonstrations (LfD) methods handle small mismatches in the action spaces of the teacher and student.

Imitation Learning Robot Manipulation

Learning Deformable Object Manipulation from Expert Demonstrations

1 code implementation20 Jul 2022 Gautam Salhotra, I-Chun Arthur Liu, Marcus Dominguez-Kuhne, Gaurav S. Sukhatme

We test DMfD on a set of representative manipulation tasks for a 1-dimensional rope and a 2-dimensional cloth from the SoftGym suite of tasks, each with state and image observations.

Deformable Object Manipulation General Reinforcement Learning +1

Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation

1 code implementation11 Nov 2021 I-Chun Arthur Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee

Learning complex manipulation tasks in realistic, obstructed environments is a challenging problem due to hard exploration in the presence of obstacles and high-dimensional visual observations.

Imitation Learning Motion Planning +3

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