Ethan Stump is a researcher within the U.S. Army Research Laboratory’s Computational and Information Sciences Directorate, where he works on machine learning applied to robotics and control with a focus on ground robot navigation and human-guided reinforcement learning. He received the Ph.D. and M.S. degrees from the University of Pennsylvania, Philadelphia, and the B.S. degree from the Arizona State University, Tempe, all in mechanical engineering. Dr. Stump is a government lead in intelligence for the ARL Robotics Collaborative Technology Alliance and in distributed intelligence for the ARL Distributed Collaborative Intelligent Systems Technology (DCIST) Collaborative Research Alliance. During his time at ARL, he was worked on diverse robotics-related topics including implementing mapping and navigation technologies to enable baseline autonomous capabilities for teams of ground robots and developing controller synthesis for managing the deployment of multi-robot teams to perform repeating tasks such as persistent surveillance by tying them formal task specifications.