Observation and Modeling of Natural Swarms and Crowds
Abstract
We propose a continuation of our current research efforts with a focus on the individual behavior that leads to collective behavior for both swarms in which all individuals have the same goals and those where some individuals have different missions. Our proposed techniques involve novel imaging, image analysis and motion analysis methods that will enable measurements ranging from the scale of the whole group down to the individual. To date, our data have revealed interaction principles in schools of fish and groups of cyclists. In continuing this work, we will explore the effect of varying individual objectives on collective behavior, and also examine how interaction principles change as group density changes. Our modeling will be sensory-informed, which means they will be based on information the individuals can likely acquire such as line of sight and/or auditorial sensory cues from within the group [19]. Models will be formulated by collecting 2D and 3D data in natural swarms and crowds, validatedby computer based simulation, and implemented in 2D off-the-shelf table-based robots. Theentire project is framed in the context of creating models that are useful and effective foruse in robotic swarming behavior similar to the models we have already developed. The proposedeffort is collaborative between Utah State University (PI Professor Tadd Truscott) and NUWCNewport (PI: Dr. Jesse Belden).
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 24, 2019
- Source ID
- N000141912059
Entities
People
- Tadd T Truscott
Organizations
- Office of Naval Research
- United States Navy
- Utah State University