Chaoqi Liu

I am currently a student researcher at Stanford and 1X World Model Lab. I got BS from UIUC (2026). I have worked with Yilun Du, Kris Hauser, Yunzhu Li, and Maxim Likhachev. I love robots. I want to do strong science, and help people feel able to do it, too.

I write notes on robotics and AI, and I like building tools that can benefit the community. Feel free to reach out about research ideas, collaborations, or robotics in general.

Chaoqi Liu

News

  1. I'm glad to share that OAT was named The Best/Outstanding Paper Finalist at RSS 2026. Over the past few months, we have been refining and extending OAT; please check out our latest full paper, Ordered Action Tokens for Visuomotor Policy Learning.
  2. I wrote a new blog post on making scientific figures and slides in the AI era.
  3. Ordered Action Tokenization (OAT) is accepted. I will present it at RSS 2026 in Sydney.

Publications

* indicates equal contribution. Representative papers are highlighted.

Ordered Action Tokens for Visuomotor Policy Learning

Chaoqi Liu, Yue Zhao, Haonan Chen, Xiaoshen Han, Jiawei Gao, Ehsan Adeli, Yilun Du

2026

Talk at: RLChina, BAAI, CHASPARK

An upgraded and complete version of OAT.

OAT: Ordered Action Tokenization

Chaoqi Liu, Xiaoshen Han, Jiawei Gao, Yue Zhao, Haonan Chen, Yilun Du

Robotics Science and Systems (RSS), 2026
The Best/Outstanding Paper Finalist

Talk at: RoboPapers

Flexible Multitask Learning with Factorized Diffusion Policy

Chaoqi Liu, Haonan Chen, Sigmund H. Høeg*, Shaoxiong Yao*, Yunzhu Li, Kris Hauser, Yilun Du

IEEE Robotics and Automation Letters (RA-L), 2026
Spotlight at RSS 2025 2nd Workshop on Semantic Reasoning and Goal Understanding in Robotics [Link]

Multi-Modal Manipulation via Multi-Modal Policy Consensus

Haonan Chen, Jiaming Xu*, Hongyu Chen*, Kaiwen Hong, Binghao Huang, Chaoqi Liu, Jiayuan Mao, Yunzhu Li, Yilun Du*, Katherine Driggs-Campbell*

IEEE International Conference on Robotics and Automation (ICRA), 2026
Best paper at CVPR 2026 Sense of Space Workshop [Link]

Featured by: Video Friday

Hybrid Diffusion for Simultaneous Symbolic and Continuous Planning

Sigmund H. Høeg, Aksel Vaaler, Chaoqi Liu, Olav Egeland, Yilun Du

IEEE Robotics and Automation Letters (RA-L), 2026

Implicit Graph Search for Planning on Graphs of Convex Sets

Ramkumar Natarajan, Chaoqi Liu, Howie Choset, Maxim Likhachev

Robotics Science and Systems (RSS), 2024

Open-source Software

praxis-vla

A controlled laboratory for vision-language-action policy research, with environments, policy interfaces, and evaluation utilities for reproducible VLA experiments.

praxis-eval

A simple, efficient, and extensible evaluation framework for robot policies across diverse benchmarks, supporting both local and remote execution.

pip install praxis-eval Docs GitHub PyPI

Blog

All posts

How to design action tokens?

How should we design action tokens for autoregressive robot policies? OAT is an ordered, prefix-decodable action representation built to be compact, totally decodable, and easy to model.

Awards and Honors

Bronze Tablet

Highest undergraduate honor at UIUC.

James N. Snyder Award for Scholastic Achievement

Awarded to 2 recipients annually.

I maintained a 4.0 GPA at UIUC; if interested, a complete coursework list is available here.

Professional Service

Reviewer for

  • T-ROIEEE Transactions on Robotics
  • RA-LIEEE Robotics and Automation Letters
  • ICRAIEEE International Conference on Robotics and Automation