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. Copyright 2007 ACM.
CITATION STYLE
Crandall, J. W., & Cummings, M. L. (2007). Developing performance metrics for the supervisory control of multiple robots. In HRI 2007 - Proceedings of the 2007 ACM/IEEE Conference on Human-Robot Interaction - Robot as Team Member (pp. 33–40). https://doi.org/10.1145/1228716.1228722
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