Enabling Human Interaction with Bio-Inspired Robot Teams : Topologies , Leaders , Predators , and Stakeholders BYU-HCMI Technical Report 2011-1

@inproceedings{Goodrich2011EnablingHI,
  title={Enabling Human Interaction with Bio-Inspired Robot Teams : Topologies , Leaders , Predators , and Stakeholders BYU-HCMI Technical Report 2011-1},
  author={Michael A. Goodrich and P. B. Sujit and Sean Kerman and Brian Pendleton and Jos{\'e} Marcelo Vargas Pinto},
  year={2011}
}
This report formalizes the problem of human-interaction with bio-inspired robot teams (HuBIRT) and then systematically explores properties of various biological collectives that allow human interaction. The goal is to identify models, topologies, and control strategies that allow a decentralized agent collective to be appropriately influenced by a human. Evidence is provided that nearest neighbor topologies are more likely to be more cohesive than metric-based topologies but are less expressive… CONTINUE READING
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Biologically-inspired approaches for self-organization, adaptation, and collaboration of heterogeneous autonomous systems

  • M. L. Steinberg
  • In Proceedings of SPIE Volume,
  • 2011
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