Spiking Neural Networks as a Controller for Emergent Swarm Agents

Drones which can swarm and loiter in a certain area cost hundreds of dollars, but mosquitos can do the same and are essentially worthless. To control swarms of low-cost robots, researchers may end up spending countless hours brainstorming robot configurations and policies to "organically"...

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Vydané v:	2024 International Conference on Neuromorphic Systems (ICONS) s. 319 - 326
Hlavní autori:	Zhu, Kevin, Mattson, Connor, Snyder, Shay, Vega, Ricardo, Brown, Daniel S., Parsa, Maryam, Nowzari, Cameron
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 30.07.2024
Predmet:	Evolutionary algorithms Heuristic algorithms Measurement Milling Neuromorphics Particle swarm optimization Robot sensing systems Search problems Sensors Spiking neural networks Swarming Behaviors Training
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