I am a Robotics PhD candidate in the
School of Interactive Computing at Georgia Tech, where I am gratefully advised by
Prof. Frank Dellaert.
My areas of research are Robotics, Perception, and Autonomy. I am particularly interested in mobile robot autonomy and the mathematical tools and techniques to enable this.
Currently, I am focused on proprioceptive state estimation of legged robots using concepts from machine learning and nonlinear control. Robot dynamics are intuitive constraints since they obey nature's laws, thus being able to model the observable and the latent processes underlying legged locomotion, we can extract useful information about the robot's state without the need for exterioceptive sensors such as cameras.
I am also a maintainer of
GTSAM, an industrial-strength factor graph library for robotics, as well as its sister projects (e.g.
GTDynamics).