Cargando…
Nature-inspired self-organizing collision avoidance for drone swarm based on reward-modulated spiking neural network
Biological systems can exhibit intelligent swarm behavior through relatively independent individual, local interaction and decentralized decision-making. A major research challenge of self-organized swarm intelligence is the coupling influences between individual behaviors. Existing methods optimize...
Autores principales: | Zhao, Feifei, Zeng, Yi, Han, Bing, Fang, Hongjian, Zhao, Zhuoya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9676561/ https://www.ncbi.nlm.nih.gov/pubmed/36419441 http://dx.doi.org/10.1016/j.patter.2022.100611 |
Ejemplares similares
-
Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP
por: Fang, Hongjian, et al.
Publicado: (2021) -
A Brain-Inspired Theory of Mind Spiking Neural Network for Reducing Safety Risks of Other Agents
por: Zhao, Zhuoya, et al.
Publicado: (2022) -
A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition
por: Zhao, Zhuoya, et al.
Publicado: (2023) -
Corrigendum: A Brain-Inspired Theory of Mind Spiking Neural Network for Reducing Safety Risks of Other Agents
por: Zhao, Zhuoya, et al.
Publicado: (2022) -
Beehive-Inspired Information Gathering with a Swarm of Autonomous Drones
por: Viseras, Alberto, et al.
Publicado: (2019)