homebanner

New Papers
Z. Erickson, S. Chernova, and C. C. Kemp, “ Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks”, 2017.
arXiv

Z. Erickson, A. Clegg, W. Yu, G. Turk, C. K. Liu, and C. C. Kemp, “What Does the Person Feel? Learning to Infer Applied Forces During Robot-Assisted Dressing”, 2017 IEEE International Conference on Robotics and Automation (ICRA), 2017.


I am a Robotics PhD student at Georgia Tech and a member of the Healthcare Robotics Lab. I have previously studied at the University of Wisconsin-La Crosse, where I received degrees in both computer science and mathematics. Today, my research encompasses assistive robotics, machine learning, and human-robot interaction. I am interested in enabling robots to more intelligently interact with and assist humans, and I am pursuing both data-driven learning and user-adaptive approaches to reach these goals.

In September 2016 I attended the 4th Heidelberg Laureate Forum! Previously, I’ve been able to participate in the SURE Robotics program at Georgia Tech where I worked with Professor Charlie Kemp on assistive robotics. I have also participated in the TRUST REU program at UC Berkeley where I was advised by Professor Dawn Song and employed machine learning techniques to improve wearable device security.

Throughout my undergraduate degree I have remained a mentor for numerous high school FIRST Robotics teams. I enjoy sharing my passion for robotics and research with younger students, as well as helping students unearth an interest in science. I am also an avid rock climber and love to practice yoga in the mornings.