Swarm intelligence - Collective motions from biology to robotic

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Swarm behavior is a phenomenon observed in nature where flocks of birds, schools of fish, and swarms of insects exhibit coordinated movement. Each entity interacts with its surroundings and other individuals without any centralized control to display complex and intelligent behavior. The key to swarm intelligence lies in the continuous collection of information from each individual that is then integrated to get feedback. Researchers are working on bridging the gap between biological systems and artificial agents by studying collective motions from cells to robots. One of the goals is to create adaptable, efficient, and robust robotic swarms capable of performing diverse tasks in various environments.

In this collection, we aim to shed light on the mechanism of swarm intelligence, Modeling and theory, Collective behaviors in biology and its application in the design of Swarm Robotics and invite Commentary from experts. Topics of interest include but are not limited to the following:

  • Complex collective behaviors emerging from individual-environment interactions
  • Active matter theories to understand collective dynamics
  • Self-organization in nature such as ant colonies, bacteria, bird flocks, fish schools, and other social organisms
  • Swarm robotics including colloidal systems, miniature robots, drones, and modular robotic systems
  • Bio-inspired multi-robot systems tackling complex tasks beyond individual capabilities

All the submissions will be subject to the same peer review process and editorial standard as regular Nature Communications, Communications Physics, Communications Engineering, and Scientific Reports.

To submit, see the participating journals
European starling flock (Sturnus vulgaris). These birds gather together in large flocks at dusk to roost.

Modeling and theory

Collective behaviors in biology

Swarm Robotics