Jessica Hodgins

Jessica Hodgins

Allen Newell University Professor of Computer Science and Robotics, Affiliated Faculty

Office Room 4207 Newell-Simon Hall

Email jkh@cmu.edu

Department
Robotics Institute
Computer Science Department: Affiliated

Website
http://www.cs.cmu.edu/~jkh

Research Statement

Dr. Hodgins's research focuses on the coordination and control of dynamic physical systems, both natural and human-made and explores techniques that may someday allow robots and animated creatures to plan and control their actions in complex and unpredictable environments. Her current research focuses on generating motion for computer animation by using motion capture data in combination with physically realistic simulation. Hodgins and her students have used dynamic simulation to animate human behaviors such as running, bicycling, diving, and vaulting. She and her colleagues have also used human motion data to bias planning algorithms towards more natural postures, to construct interfaces for avatars, and to capture the motion of muscles and skin. Hodgins is now refining some of these techniques for the control of a humanoid robot. Hodgins and her students have also explored passive simulations for animating phenomena such as clothing, water, breaking objects, and explosions.

 

Recent Publications

Jessica Hodgins ( 2022 ) Trends in Cognitive Sciences, Next-generation deep learning based on simulators and synthetic data , Vol.: 26 Issue: ( 2 ) , Page(s): 174- 187 .

Jessica Hodgins ( 2022 ) ACM Transactions on Graphics, Physics-based character controllers using conditional VAEs , Vol.: 41 Issue: ( 4 )

Jessica Hodgins ( 2021 ) ACM Transactions on Graphics, Control strategies for physically simulated characters performing two-player competitive sports , Vol.: 40 Issue: ( 4 ) , Page(s): 1- 11 .

Jessica Hodgins ( 2021 ) ACM Transactions on Graphics, Control strategies for physically simulated characters performing two-player competitive sports , Vol.: 40 Issue: ( 4 )

Depalma N, Hodgins J ( 2021 ) 2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021, Factor exploration of gestural stroke choice in the context of ambiguous instruction utterances: Challenges to synthesizing semantic gesture from speech alone , Page(s): 102 - 109