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BioSwarm: Bio-Inspired Swarming Supplement: A Methodology for Modeling Swarm Behavioral Dynamics from Local Observations
Pratt, Stephen
(PI)
Liebig, Juergen
(CoI)
Berman, Spring
(CoI)
Pavlic, Theodore
(CoI)
Mechanical and Aerospace Engineering
Biomimicry Center, The
Industrial, Systems and Operations Engineering
Life Sciences, School of (SOLS)
Sustainability, School of (SOS)
Knowledge Enterprise (KE)
Global Futures Laboratory, Julie Ann Wrigley (GFL)
Project
:
Research project
Overview
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Engineering & Materials Science
Animals
27%
Automation
10%
Autonomous agents
17%
Chemical reactions
100%
Communication
7%
Control theory
28%
Decentralized control
17%
Decision making
31%
Differential equations
25%
Dynamical systems
11%
Ecology
17%
Experiments
5%
Internet of things
24%
Machine learning
21%
Neural networks
8%
Physiology
17%
Population dynamics
21%
Rate constants
53%
Reaction rates
32%
Robotics
65%
Robots
9%
Sampling
10%
Sensor networks
12%
Sensors
29%
Site selection
58%
Stochastic models
15%
Supervisory personnel
16%
Swarm intelligence
17%
Switches
10%
Testing
7%
Trajectories
10%
Video recording
18%
Wireless networks
11%