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Dr. Turk's research primarily is in the area of computer graphics, with a current emphasis on physically-based animation techniques. He also carries out research that overlaps with machine learning, computer vision, scientific visualization, and simulation of biological systems.
Dr. Turk teaches an introductory course in computer graphics for undergraduates. He also teaches a course in procedural content generation that is a mixed undergraduate and graduate course.
Greg Turk, “Vants and Turmites”, Artificial Life, Vol. 31 (4), 2025.
Yunbo Zhang, Alex Clegg, Sehoon Ha, Greg Turk and Yuting Ye, “Learning to Transfer In-Hand Manipulations Using a Greedy Shape Curriculum”, Eurographics 2023.
Alex Clegg, Zackory Erickson, Patrick Grady, Greg Turk, C. Karen Liu and Charles C. Kemp, “Learning to Collaborate from Simulation for Robot-Assisted Dressing”, IEEE Robotics and Automation Letters, 2020.
Wenhao Yu, C. Karen Liu and Greg Turk, “Policy Transfer with Strategy Optimization”, International Conference on Learning Representations (ICLR), 2019.