A task complexity assessment tool for single-operator multi-robot control scenarios

Authors:
Arif Tuna Ozgelen;Elizabeth Sklar
Affiliations:
City University of New York - The Graduate Center, New York, NY, USA;City University of New York - Brooklyn College, The Graduate Center, New York , NY, USA
Venue:
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Year:
2013

Citing 1
Cited 1

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Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction

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Abstract

One important aspect of research in multi-robot team applications focuses on integrating humans in the control loop to perform collaborative tasks. Human operators are expected to assume many different roles in these systems. So far, the research in this domain mainly considers situations where tasks are independent from one another. In contrast, the work demonstrated here describes a methodology and software system for studying human behavior in multi-robot control scenarios where tasks are complex and have different types of dependencies.