Ritwik Bera is a MS student in the aerospace engineering department. He graduated with the B.S. degree in mechanical engineering from Indian Institute of Technology, Kanpur in 2018. During his undergraduate studies, Ritwik worked on modelling multi-agent systems using differential game theory. He also interned at VSCL in 2017, working on two time-scale control systems at the time. At VSCL, Ritwik works on human-in-the-loop learning to train autonomous systems to perform various tasks. Ritwik has been primarily focused on making human-in-the-loop learning scalable for real-time learning on hardware as well as developing unsupervised learning techniques to help agents learn macro-behaviors from human demonstrations.
Kameron Eves is a Ph.D. student in the aerospace engineering department. He graduated from Brigham Young University (BYU) with a B.S. degree in mechanical engineering with minors in mathematics and business. At BYU, Kameron worked in the Multiple Agent Intelligent Coordination and Control (MAGICC) laboratory. As part of this research, Kameron helped to develop a ground based optical tracking and imaging system capable of estimating an aircraft’s pose. At VSCL, Kameron works to develop the capabilities necessary for autonomous reconnaissance in military settings on the Autonomous Intelligent Detection Tracking and Recognition (AIDTR) project. This project is a partnership with the Army Research Laboratory and the National Robotics Engineering Center (NREC) at Carnegie Mellon University. Kameron’s research interests include reinforcement learning, autonomous control, and vehicle dynamics.
Shelby Hackett is an aerospace engineering Ph.D student. She graduated from the University of Florida with degrees in Mechanical and Aerospace engineering. During undergrad, Shelby interned at GE Oil & Gas and Sandia National Laboratories. While at UF, she completed an honors thesis on range optimal control of an aircraft. Starting in the fall with VSCL, she will be working on Tightly Integrated Navigation and Guidance for Multiple Autonomous Agents, which is sponsored by Sandia National Laboratory.