Project Grant 2430773

Award Date 10/1/24
Completion Date 9/30/27
Dollars Obligated $200K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Albuquerque, NM 87131, USA
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This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $199,999 to develop a novel biomimetic swarm-based remote sensing system for environmental monitoring in hard-to-reach areas. The researchers at the New Mexico Institute of Mining and Technology (New Mexico Tech) aim to create a swarm of tiny, lightweight sensors inspired by the natural design of dandelion seeds that can be deployed by...
This $200,000 project grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop innovative biomimetic swarm-based remote sensing technology for environmental monitoring in inaccessible areas. The researchers are designing a system inspired by dandelion seed dispersal that uses lightweight sensors with pappus-like structures to be deployed by unmanned aerial vehicles (UAVs) and harness wind...
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This federal Project Grant award of $200,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop innovative biomimetic swarm-based remote sensing technology for environmental monitoring in hard-to-reach areas.

The project, led by the University of New Mexico, focuses on creating a swarm of lightweight sensors inspired by the natural dispersal mechanism of dandelion seeds. These sensors will utilize wind currents to spread across vast terrains and collect crucial data on environmental conditions, improving our understanding of ecosystems and aiding in disaster management. The research integrates expertise from aerodynamics, microelectronics, signal processing, and deep reinforcement learning to design and optimize the sensor structures, energy harvesting, and autonomous deployment via unmanned aerial vehicles. This interdisciplinary effort promises to advance both the basic science and practical application of biomimetic swarm-based remote sensing technology.

Generated 5/13/25, 5:49 AM