English

Scale-Invariant Specifications for Human-Swarm Systems

Robotics 2022-12-14 v2

Abstract

We present a method for controlling a swarm using its spectral decomposition -- that is, by describing the set of trajectories of a swarm in terms of a spatial distribution throughout the operational domain -- guaranteeing scale invariance with respect to the number of agents both for computation and for the operator tasked with controlling the swarm. We use ergodic control, decentralized across the network, for implementation. In the DARPA OFFSET program field setting, we test this interface design for the operator using the STOMP interface -- the same interface used by Raytheon BBN throughout the duration of the OFFSET program. In these tests, we demonstrate that our approach is scale-invariant -- the user specification does not depend on the number of agents; it is persistent -- the specification remains active until the user specifies a new command; and it is real-time -- the user can interact with and interrupt the swarm at any time. Moreover, we show that the spectral/ergodic specification of swarm behavior degrades gracefully as the number of agents goes down, enabling the operator to maintain the same approach as agents become disabled or are added to the network. We demonstrate the scale-invariance and dynamic response of our system in a field relevant simulator on a variety of tactical scenarios with up to 50 agents. We also demonstrate the dynamic response of our system in the field with a smaller team of agents. Lastly, we make the code for our system available.

Cite

@article{arxiv.2212.03106,
  title  = {Scale-Invariant Specifications for Human-Swarm Systems},
  author = {Joel Meyer and Ahalya Prabhakar and Allison Pinosky and Ian Abraham and Annalisa Taylor and Millicent Schlafly and Katarina Popovic and Giovani Diniz and Brendan Teich and Borislava Simidchieva and Shane Clark and Todd Murphey},
  journal= {arXiv preprint arXiv:2212.03106},
  year   = {2022}
}

Comments

Journal of Field Robotics, Accepted for Publication. 25 pages

R2 v1 2026-06-28T07:23:48.826Z