Yashodhan Nevatia, Todor Stoyanov, Ravi Rathnam, Max Pfingsthorn, Stefan Markov, Rares Ambrus and Andreas Birk
Augmented Autonomy: Improving human-robot team performance in Urban Search and Rescue
Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2008
Abstract: Exploration of unknown environments remains one of the fundamental problems of mobile robotics. It is also a prime example for a task that can benefit significantly from multi-robot teams. We present an integrated system for semiautonomous cooperative exploration, augmented by an intuitive user interface for efficient human supervision and control. In this preliminary study we demonstrate the effectiveness of the system as a whole and the intuitive interface in particular. Congruent with previous findings, results confirm that having a human in the loop improves task performance, especially with larger numbers of robots. Specific to our interface, we find that even untrained operators can efficiently manage a decently sized team of robots
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@INPROCEEDINGS{Nevatia_etal:IROS:2008,
  AUTHOR = {Nevatia, Y. and Stoyanov, T. and Rathnam, R. and Pfingsthorn, M. and Markov, S. and Ambrus, R. and Birk, A.},
  TITLE = {Augmented Autonomy: Improving human-robot team performance in Urban Search and Rescue},
  BOOKTITLE = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  YEAR = {2008},
}