Developing performance metrics for the supervisory control of multiple robots

  • Authors:
  • Jacob W. Crandall;M. L. Cummings

  • Affiliations:
  • Massachusetts Institute of Technology, Cambridge, MA;Massachusetts Institute of Technology, Cambridge, MA

  • Venue:
  • Proceedings of the ACM/IEEE international conference on Human-robot interaction
  • Year:
  • 2007

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Abstract

Efforts are underway to make it possible for a single operator to effectively control multiple robots. In these high workload situations, many questions arise including how many robots should be in the team (Fan-out), what level of autonomy should the robots have, and when should this level of autonomy change (i.e., dynamic autonomy). We propose that a set of metric classes should be identified that can adequately answer these questions. Toward this end, we present a potential set of metric classes for human-robot teams consisting of a single human operator and multiple robots. To test the usefulness and appropriateness of this set of metric classes, we conducted a user study with simulated robots. Using the data obtained from this study, we explore the ability of this set of metric classes to answer these questions.