Fast and small robots, particularly flying ones, have numerous applications. However, the state-of-the-art achieves limited robustness and agility when restricted to onboard sensing. To solve this, my research seeks bioinspired perception algorithms that can be analyzed with control theory.

I work with the Perception and Robotics Group and am advised by Prof. Yiannis Aloimonos and Dr. Cornelia Fermüller.

Currently, I am particularly interested in:

  • Control using minimal egomotion representations
  • Non-metric representations of environment
  • Optical illusions that can be used to trick computer vision
  • Early neural mechanisms responsible for perception
  • State estimation utilizing specialized motion

Prior to graduate school, I studied electrical engineering at the University of Pittsburgh. There, I led an award winning aerial robotics team. After graduating, I worked as an engineer for Carnegie Robotics LLC. These experiences made me passionate about developing robust perception for robots participating in everyday life.

In response to COVID-19, I am working with Prof. Gilmer Blankenship on a creative revision of ENEE408I: Autonomous Control of Interacting Robots for Fall 2020.

The best way to contact me is through email. I enjoy answering questions!

Latest Video

IARC 2018 qualification demonstrating autonomous interaction with a moving target