Using deep reinforcement learning to control a platoon of drones will assist first responders in search and rescue operations.
Stephanie Gil is an assistant professor in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. Her research interests are in coordination and control of multi-robot systems with an emphasis on communication problems for these systems.
Total projects: 10
Using reinforcement learning to enable a team of robots to plan search and rescue missions will enable them to become effective tools.
Investigating the optimization of future public transportation will create urban mobility systems with increased efficiency and reliability.
Studying how aerial robots can navigate using wireless signals will help in applications like drone delivery and disaster recovery.
Developing a theoretical framework for using wireless transmission between agents will help secure vulnerable multi-agent consensus.
Studying how to use Wi-Fi as a sensor to help mobile robots navigate indoors will provide an accurate alternative where GPS isn’t available.