A Task Complexity Assessment Tool for Single-Operator Multi-Robot Control Scenarios

A. Tuna Ă–zgelen (The City University of New York - The Graduate Center, USA)

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.