My dissertation research focused on the problem of automatically deriving
behavior modules from human motion data for controlling humanoid robots and
classifying human motion.
I was previously a Ph.D. Student and Postdoctoral Researcher in the Computer Science Department at the University of Southern California, working within the friendly confines of the USC Robotics Research Lab and the USC Center for Robotics and Embedded Systems. My Ph.D. was completed under the guidance of Maja J Mataric´, a constant source of inspiration, guidance, and stress. My research interests involve analysis and collection of human motion data, primarily for applications to humanoid robots.
My dissertation research focused on the problem of automatically deriving
behavior modules from human motion data for controlling humanoid robots and
classifying human motion.
A model-free and markerless method for motion capture and kinematic model estimation
Motion classification using vector quantization and human demonstrated primitive motions.