I-Chun (Arthur) Liu

I-Chun (Arthur) Liu

PhD Candidate · University of Southern California

I'm a final-year PhD candidate at the University of Southern California, advised by Prof. Gaurav Sukhatme and working closely with Prof. Daniel Seita. My research focuses on 3D representations that help robots learn bimanual manipulation efficiently, enabling two-armed robots to handle complex real-world tasks with less training data. I've done research internships at Google DeepMind and Amazon Robotics, and I hold an M.S. in Computer Science from UCLA and a B.S. in Computer Science from UW–Madison.

Robotic Bimanual ManipulationImitation LearningRepresentation Learning
PhD in Computer Science (Robotics & AI), University of Southern California (In Progress)
MS in Computer Science, University of Southern California (2023)
MS in Computer Science, University of California, Los Angeles (UCLA) (2016)
BS in Computer Science, University of Wisconsin–Madison (2014)

News

Feb 2026

One paper accepted to ICRA 2026!

Aug 2025

One paper accepted to CoRL 2025!

Jun 2025

Started as a Student Researcher at Google DeepMind for Summer/Fall 2025.

Mar 2025

Passed my PhD qualification exam and was promoted to PhD Candidate!

Sep 2024

One paper accepted to CoRL 2024!

Selected Publications

* denotes equal contribution. † denotes equal advising.

CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining demo

CLAMP: Contrastive Learning for 3D Multi-View Action-Conditioned Robotic Manipulation Pretraining

I-Chun Arthur Liu, Krzysztof Choromanski, Sandy Huang, Connor Schenck

Under Review

D-CODA: Diffusion for Coordinated Dual-Arm Data Augmentation demo

D-CODA: Diffusion for Coordinated Dual-Arm Data Augmentation

I-Chun Arthur Liu, Jason Chen, Gaurav S. Sukhatme, Daniel Seita

Conference on Robot Learning (CoRL), 2025

VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation demo

VoxAct-B: Voxel-Based Acting and Stabilizing Policy for Bimanual Manipulation

I-Chun Arthur Liu, Sicheng He, Daniel Seita, Gaurav S. Sukhatme

Conference on Robot Learning (CoRL), 2024

Learning Robot Manipulation from Cross-Morphology Demonstration demo

Learning Robot Manipulation from Cross-Morphology Demonstration

Gautam Salhotra*, I-Chun Arthur Liu*, Gaurav S. Sukhatme

Conference on Robot Learning (CoRL), 2023

Learning Deformable Object Manipulation from Expert Demonstrations demo

Learning Deformable Object Manipulation from Expert Demonstrations

Gautam Salhotra*, I-Chun Arthur Liu*, Marcus Dominguez-Kuhne, Gaurav S. Sukhatme

IEEE Robotics and Automation Letters (RA-L) & IROS 2022

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

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

I-Chun Arthur Liu*, Shagun Uppal*, Gaurav S. Sukhatme, Joseph J. Lim, Peter Englert, Youngwoon Lee

Conference on Robot Learning (CoRL), 2021

Research Experience

Student Researcher

Google DeepMind

Jun 2025 – Dec 2025

Mountain View, CA

Developed 3D pre‑training framework for robotic manipulation.

PhD Researcher

USC Robotic Embedded Systems Laboratory (RESL)

Aug 2023 – Present

Los Angeles, CA

See Selected Publications for details.

Applied Scientist Intern

Amazon Robotics

May 2023 – Aug 2023

North Reading, MA

Conducted research on targeted bin picking.

Research Assistant

USC RESL

Jan 2021 – May 2023

Los Angeles, CA

Published three first-author papers on robot manipulation, imitation learning, and reinforcement learning.

Research Assistant

Academia Sinica

Jan 2019 – Dec 2020

Taipei, Taiwan

Researched computer vision topics including object detection and instance segmentation.

Awards

USC 1-Year Fellowship

USC Viterbi School of Engineering

Aug 2023

Computer Science Best Research Award

USC Viterbi School of Engineering

May 2023

Service & Mentoring

Mentoring

  • Jason Chen · CoRL 2025, ICRA 2026, Current
  • Sicheng He · CoRL 2024
  • Hanwen Fan · Current
  • QJ Tsway · Current

Reviewer

  • CoRL 2022–2025
  • WAFR 2024
  • ICRA 2025–2026
  • IROS 2026

Teaching Assistant

  • CSCI 572: Information Retrieval and Web Search Engines
    Spring 2025
  • CSCI 545: Introduction to Robotics
    Fall 2024