C. Karen Liu
Also known as Karen Liu
C. Karen Liu is a Stanford computer science professor whose work connects human movement in animation with AI control of robots. She earned her doctorate at the University of Washington in 2005 and held faculty posts at the University of Southern California and Georgia Tech before moving to Stanford. With collaborators, she coauthored EDGE, a model for generating editable dances from music, in 2023 and introduced the ToddlerBot humanoid platform in 2025. In 2026, she and her student Zhen Wu received two ICRA paper awards for OmniRetarget.
- Now at
- Stanford University
- Works
- 286
- Citations
- 7,834
- h-index
- 51
Publication numbers from OpenAlex, as of 27 October 2026.
Timeline
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1999–2005
Computer science degrees
She earns a computer science bachelor's degree at National Taiwan University in 1999, a master's at the University of Washington in 2001, and a doctorate there in 2005. Her doctoral work is with Zoran Popović in the Allen School's Graphics & Imaging Laboratory (GRAIL).
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August 2007
Joining Georgia Tech
After an assistant professorship at the University of Southern California, she joins Georgia Tech's School of Interactive Computing as an assistant professor in August 2007.
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2012
A SIGGRAPH researcher award
She receives the ACM SIGGRAPH Significant New Researcher Award in 2012 for her contributions to computer animation, particularly the optimization and control of human motion.
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2018
The DART toolkit
In 2018, she coauthors “DART: Dynamic Animation and Robotics Toolkit” with Jeongseok Lee and colleagues in the Journal of Open Source Software.
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2019
SIGGRAPH Asia papers chair
In 2019, she serves as technical papers chair for SIGGRAPH Asia.
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2023
EDGE generates editable dances
She coauthors “EDGE: Editable Dance Generation From Music” with Jonathan Tseng and Rodrigo Castellon at CVPR in 2023. EDGE combines a transformer-based diffusion model with the Jukebox music feature extractor to generate dances that users can edit.
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2024
An alumni impact award
In 2024, she receives the University of Washington Allen School Alumni Impact Award.
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2025
The ToddlerBot humanoid platform
She coauthors “ToddlerBot: Open-Source ML-Compatible Humanoid Platform for Loco-Manipulation” with Haochen Shi, Weizhuo Wang, and Shuran Song in 2025. The platform supports learning robot skills from human demonstrations and transferring control policies from simulation to physical hardware.
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2026
Two ICRA paper awards
In 2026, she and her student Zhen Wu receive the ICRA Best Conference Paper Award and the Best Paper Award on Robot Manipulation and Locomotion for “OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction.”
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As of October 2026
Professor of computer science
In October 2026, she is a professor in Stanford University's Computer Science Department. Her research includes reinforcement learning, physics-based animation, and learning control policies for humanoids and assistive robots.
Career
- NowStanford UniversityProfessor of Computer Science
- Until 2007University of Southern CaliforniaAssistant Professor
- From 2007Georgia Institute of TechnologyAssistant Professor, School of Interactive Computing
Education
- 2005University of WashingtonDoctorate in computer science
- 2001University of WashingtonMaster's degree in computer science
- 1999National Taiwan UniversityBachelor's degree in computer science
Sources and credits
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- C. Karen Liu | Computer Science
- ‘You write your own story’: Allen School celebrates the graduating class of 2024
- ACM SIGGRAPH Announces 2012 Award Honorees
- Journal of Open Source Software: DART: Dynamic Animation and Robotics Toolkit
- Presenter - SIGGRAPH 2026 Conference Schedule
- CVPR 2023 Open Access Repository
- C. Karen Liu's Profile | Stanford Profiles
- [2502.00893] ToddlerBot: Open-Source ML-Compatible Humanoid Platform for Loco-Manipulation
- Allison Okamura, Somil Bansal, Karen Liu, and Mac Schwager are recognized at 2026 ICRA — Stanford Robotics Center



