Emergent behaviours in non-cooperative biological swarms and bio-inspired strategies shepherding robotic swarms
Abstract
Bees maintain a large separation margin during flying and have demonstrated learning abilities under the limited data on how the environment shapes these margins and the salient factors that mediate behaviours at individual and collective scales. Revealing the dynamics of the mass while performing relevant tasks such as navigating through cluttered environments opens significant opportunities for swarm research. This project addresses key machine perception and autonomy challenges associated with swarm navigation. Navigating a swarm in narrow corridors requires timely precision in the propagation of forces among swarm members to maximize the swarm’s throughput. Using bees as model systems, this project aims to design time-efficient algorithms for the navigation of a mass in a cluttered environment.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 16, 2024
- Source ID
- FA23862314033
Entities
People
- Sridhar Ravi
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of New South Wales