I-Chun (Arthur) Liu

I-Chun (Arthur) Liu

CS (Robotics & AI) PhD Student

University of Southern California

Biography

Hi! I am a PhD student with Prof. Gaurav Sukhatme at the University of Southern California (USC). My research interest lies in the fields of imitation learning and reinforcement learning for robotic manipulation. Currently, my research focuses on vision-based bimanual manipulation. Prior to joining USC, I completed my master’s degree in Computer Science from the University of California, Los Angeles (UCLA), and my bachelor’s degree in Computer Science from the University of Wisconsin-Madison.

Download my CV

Interests
  • Robotic Manipulation
  • Imitation Learning
  • Deep Reinforcement Learning
Education

  • PhD in Computer Science (Robotics & AI), Ongoing

    University of Southern California (USC)

  • MS in Computer Science, 2023

    University of Southern California (USC)

  • MS in Computer Science, 2016

    University of California, Los Angeles (UCLA)

  • BSc in Computer Science, 2014

    University of Wisonsin-Madison

News

[August, 2023] One paper is accepted to CoRL 2023
[May, 2023] I am incredibly honored to accept the Computer Science Best Research Award from the USC Viterbi School of Engineering.
[Feb, 2023] In summer 2023, I will be working as an Applied Scientist intern at Amazon Robotics.
[July, 2022] One paper on deformable object manipulation is accepted to RA-L and IROS 2022
[May, 2022] One paper is accepted to ICRA 2022 2nd Workshop on Representing and Manipulating Deformable Objects
[Nov, 2021] One paper is accepted to CoRL 2021

Publications

Learning Robot Manipulation from Cross-Morphology Demonstration
In Conference on Robot Learning (CoRL), 2023
Gautam Salhotra, I-Chun (Arthur) Liu, Gaurav S. Sukhatme
PDF Cite Code Project Poster
Learning Robot Manipulation from Cross-Morphology Demonstration
Learning Deformable Object Manipulation from Expert Demonstrations
In IEEE Robotics and Automation Letters (RA-L) and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
Gautam Salhotra, I-Chun (Arthur) Liu, Marcus Dominguez-Kuhne, Gaurav S. Sukhatme
PDF Cite Code Project Poster DOI
Learning Deformable Object Manipulation from Expert Demonstrations
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation
In Conference on Robot Learning (CoRL), 2021
I-Chun (Arthur) Liu, Shagun Uppal, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee
PDF Cite Code Project Poster
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation

Research
Experience

 
 
 
 
 
Applied Scientist Intern
Amazon Robotics
May 2023 – Aug 2023 MA, United States
  • Targeted bin picking research (robotic manipulation).
 
 
 
 
 
Research Assistant
University of Southern California, Robotics Embedded Systems Laboratory (RESL)
Jan 2021 – May 2023 Los Angeles, CA, United States
 
 
 
 
 
Research Assistant
Academia Sinica, Multimedia Technologies Laboratory
Jan 2019 – Dec 2020 Taipei, Taiwan
  • Conducted computer vision research in topics including object detection and instance segmentation.

Awards

USC 1-Year Fellowship
University of Southern California - Viterbi School of Engineering Aug 2023
Awarded to selected PhD students.
August 2023 - August 2024.
Computer Science Best Research Award
University of Southern California - Viterbi School of Engineering May 2023
MS Award.

Service

Reviewer

  • CoRL 2022, 2023