
C. Karen Liu
Associate Professor of Computer Science
Bio
C. Karen Liu is an associate professor in the Computer Science Department at Stanford University. Prior to joining Stanford, Liu was a faculty member at the School of Interactive Computing at Georgia Tech. She received her Ph.D. degree in Computer Science from the University of Washington. Liu's research interests are in computer graphics and robotics, including physics-based animation, character animation, optimal control, reinforcement learning, and computational biomechanics. She developed computational approaches to modeling realistic and natural human movements, learning complex control policies for humanoids and assistive robots, and advancing fundamental numerical simulation and optimal control algorithms. The algorithms and software developed in her lab have fostered interdisciplinary collaboration with researchers in robotics, computer graphics, mechanical engineering, biomechanics, neuroscience, and biology. Liu received a National Science Foundation CAREER Award, an Alfred P. Sloan Fellowship, and was named Young Innovators Under 35 by Technology Review. In 2012, Liu received the ACM SIGGRAPH Significant New Researcher Award for her contribution in the field of computer graphics.
Academic Appointments
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Associate Professor, Computer Science
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Faculty Affiliate, Institute for Human-Centered Artificial Intelligence (HAI)
Honors & Awards
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SIGGRAPH Significant New Research Award, ACM (2012)
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Alfred P. Sloan Research Fellowship, Alfred P. Sloan Foundation (2010)
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Young Innovators Under 35, MIT Technology Review (2007)
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CAREER Award, National Science Foundation (2007)
Professional Education
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BS, National Taiwan University, Computer Science (1999)
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MS, University of Washington, Computer Science (2001)
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PhD, University of Washington, Computer Science (2005)
2020-21 Courses
- Character Animation: Modeling, Simulation, and Control of Human Motion
CS 348E (Spr) - Computer Graphics in the Era of AI
CS 348I (Aut) -
Independent Studies (5)
- Advanced Reading and Research
CS 499 (Aut, Win) - Advanced Reading and Research
CS 499P (Win) - Curricular Practical Training
CS 390A (Sum) - Independent Work
CS 199 (Aut, Win, Spr, Sum) - Part-time Curricular Practical Training
CS 390D (Win)
- Advanced Reading and Research
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Prior Year Courses
2019-20 Courses
Stanford Advisees
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Master's Program Advisor
Fenglu Hong, Abhishek Sinha, Takara Truong, Xuanyu Zhou -
Doctoral (Program)
Michelle Guo, Yifeng Jiang
All Publications
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Personalized collaborative plans for robot-assisted dressing via optimization and simulation
AUTONOMOUS ROBOTS
2019; 43 (8): 2183–2207
View details for DOI 10.1007/s10514-019-09865-0
View details for Web of Science ID 000487951900014
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Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation
ACM TRANSACTIONS ON GRAPHICS
2019; 38 (4)
View details for DOI 10.1145/3306346.3322966
View details for Web of Science ID 000475740600046
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Sim-to-Real Transfer for Biped Locomotion
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2019
View details for DOI 10.1109/IROS40897.2019.8968053
- Policy Transfer with Strategy Optimization 2019
- Multidimensional Capacitive Sensing for Robot-Assisted Dressing and Bathing 2019