Hydrodynamic sensing in schooling fish
Abstract
Fish schools offer inspiration for how to control groups of autonomous underwater vehicles with passive sensing. A #fish school is capable of silently avoiding obstacles, locating prey, and evading predators on a spatial scale that extends beyond the bounds of the school. This capacity emerges from the ability of individual fish to sense and respond to their neighbors using both vision the ability to sense water ow using their mechanosensory lateral line system. The lateral line is more than 10-times faster than vision and operates in dark and turbid waters. The currently-funded project aims to understand howschooling is enabled by ow sensing and vision. The proposed purchase will enhance this pursuit by enabling the investigators to visualize the ow between neighboring fish using the technique of Tomographic Particle Image Velocimetry (TomoPIV).TomoPIV offers major advantages over the approaches planned for the currently-supported ONR project. This current project uses two-dimensional digital particle imaging techniques (2D-DPIV) which prohibits measurements of more than one individual. In contrast, TomoPIV visualizes an entire volume of water and may therefore allows the flow between multiple interacting #fish to be visualized. In addition, the TomoPIV system uses infrared light, which will allow for measurements of behavioral responses to ow at controlled levelsof visual illumination, including complete darkness. Therefore, TomoPIV will enable measurements of the flow cues that #fish in a school use to silently respond to their neighbors.These measurements will offer key insight that will be applied to understanding the dynamics of underwater autonomous vehicles. As a component of the currently-supported project, our collaborators at USC will use our ow measurements to test models of the propulsion and sensing in fish schools. The UMD group will implement the development of theory through the use of schools of fish-inspired autonomous vehicles. The combined efforts of our three groups will offer an integrated approach to the development of biologically-inspired control of group of autonomous vehicles. In addition, the proposed purchase will enhance student training for a cutting-edge technique for biological fluid dynamics.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 29, 2020
- Source ID
- N000142012228
Entities
People
- Matthew J McHenry
Organizations
- Naval Information Warfare Center Pacific
- Office of Naval Research
- United States Navy