ANDRO’s Marconi-Rosenblatt AI/ML Innovation Lab scientists, Dr. Jithin Jagannath, Anu Jagannath, Sean Furman, and Tyler Gwin contributed to a Book Chapter on UAV autonomy that has been published recently. “Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment.”
Read the full chapter here
Jagannath J., Jagannath A., Furman S., Gwin T. (2021) Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment. In: Koubaa A., Azar A.T. (eds) Deep Learning for Unmanned Systems. Studies in Computational Intelligence, vol 984. Springer, Cham. https://doi.org/10.1007/978-3-030-77939-9_2