• English
  • Deutsch
  • Log In
    Password Login
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. The design of self-organizing human-swarm intelligence
 
  • Details
  • Full
Options
2022
Journal Article
Titel

The design of self-organizing human-swarm intelligence

Abstract
Human-swarm interaction is a frontier in the realms of swarm robotics and human-factors engineering. However, no holistic theory has been explicitly formulated that can inform how humans and robot swarms should interact through an interface while considering real-world demands, the relative capabilities of the components, as well as the desired joint-system behaviours. In this article, we apply a holistic perspective that we refer to as joint human-swarm loops, that is, a cybernetic system made of human, swarm and interface. We argue that a solution for human-swarm interaction should make the joint human-swarm loop an intelligent system that balances between centralized and decentralized control. The swarm-amplified human is suggested as a possible design that combines perspectives from swarm robotics, human-factors engineering and theoretical neuroscience to produce such a joint human-swarm loop. Essentially, it states that the robot swarm should be integrated into the human's low-level nervous system function. This requires modelling both the robot swarm and the biological nervous system as self-organizing systems. We discuss multiple design implications that follow from the swarm-amplified human, including a computational experiment that shows how the robot swarm itself can be a self-organizing interface based on minimal computational logic.
Author(s)
Hasbach, Jonas D.
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE
Bennewitz, Maren
Zeitschrift
Adaptive behavior
Thumbnail Image
DOI
10.1177/10597123211017550
Externer Link
Externer Link
Language
English
google-scholar
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022