I am a PhD candidate at the University of Michigan doing research in artificial intelligence by improving methods for robots to learn new tasks through natural language instruction. I am passionate about teaching, and plan on seeking a career in post-secondary education with a focus on fostering strong mentoring relationships with students and creating an active classroom environment that stresses problem-solving and practical experience.
This research question is being tackled by the field of Interactive Task Learning. My focus is on creating robotic agents that can learn new tasks in one-shot from natural language instruction. My research involves a cognitive architecture approach, where we investigate issues of knowledge representation, reasoning, and explanation-based learning.
Rosie is the name of the Interactive Task Learning agent I have helped develop at the University of Michigan in the Soar Lab. It is written in the Soar Cognitive Architecture. It can learn many different tasks, games, and puzzles and has been deployed in many different real and simulated environments. Here is a demo video of it learning tasks in a mobile environment.
Below is a list of some of the projects that I have worked on in my spare time over the last several years. Many of these are hosted on my Github Account.