Xiaobo Tan, MSU Foundation Professor of Electrical and Computer Engineering, has received a new NSF grant from the Smart and Autonomous Systems program, in collaboration with researchers from Georgia Tech, University of Georgia, and Wright State University. The project aims to merge advances from both cognitive systems theory and control theory to create a goal-driven autonomy framework for robotic systems to self-adapt to changing environments. The approach will be developed using a running case study of mapping and tracking marine life using a heterogeneous fleet of marine robots, including both underwater gliders and gliding robotic fish. The proposed system will be field-tested at Gray’s Reef National Marine Sanctuary, a federally-managed marine protected area (MPA) off the coast of Georgia. The research is expected to lead to more accurate and effective ways to monitor fish populations in MPAs, as well as breakthroughs in key areas of artificial intelligence and autonomous systems.
Further information can be found at: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1848945