Hydrodynamics, Sensing, and Control in the Coordinated Swimming of Fish and Fish-inspired Vehicles
Abstract
Abstract"Approved for public release"Scientists and engineers have shown that fish swim more efficiently and are capable of respondi,ng to sensory cues more rapidly in a school than when swimming alone. However, it is unclear how multi-vehicle systems can realize t,hese benefits due to a lack of understanding of (1) the hydrodynamic mechanisms that enhance propulsion in a school, and (2) the sen,sing capabilities required to identify flow cues. The proposed work will develop a fundamental understanding of these two areas. The, knowledge obtained through our work may be applied to the building of bio-inspired multi-vehicle systems that realize the energetic, and sensing benefits of schooling. We will address these aims in a transdisciplinary research team using a multi-faceted approach t,hat draws from biology, flow physics, estimation and control theory, machine learning, and engineering. Specifically, our team will,pursue a plan of research tasks organized around two main themes that aim to identify the flow conditions and swimming motions that,enable efficient schooling (theme 1), and to determine how swimmers identify and exploit the hydrodynamic mechanics underlying effic,ient schooling (theme 2). Our research efforts will untangle the sensing and feedback control laws in schooling fish in behaviors r,anging from efficient swimming to predator-prey interactions.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Oct 06, 2022
- Source ID
- N000142212655
Entities
People
- Eva Kanso
Organizations
- Office of Naval Research
- United States Navy
- University of Southern California