The January 2019 edition of Aerospace America’s annual Year in Review section for Information Systems featured the flight-demonstration of a machine learning algorithm developed by a team of VSCL students and faculty. The article discussed the progression of the project from its first demonstration in December 2017 to more recent demonstrations. The algorithm is based on Q-Learning and provides a control policy for the vehicle’s orientation in order to keep the target fixed in the image frame autonomously. The algorithm was tested against stationary and randomly moving targets in both a structured and unstructured environment.
The Aerospace America article can be found here.