Abstract
There is current interest in creating human-robot teams in which a human operator is in its own conveyance teaming up with several autonomous teammates. In this work we focus on human-robot teamwork in the marine environment as it is challenging and can serve as a surrogate for other environments. Marine elements such as wind speed, air temperature, water, obstacles, and ambient noise can have drastic implications for team performance. Our goal is to create a human-robot system that can join many humans and many robots together to cooperatively perform tasks in such challenging environments. In this paper, we present our human-robot speech dialog system and compare participant responses to having human versus autonomous vehicle teammates escorting and holding station at locations of interest.
This work was supported by Battelle.
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References
United States Air Force unmanned aircraft systems flight plan 2009–2047. Headquarters, U.S. Air Force, p. 34, May 2009
Benjamin, M.R., Schmidt, H., Newman, P., Leonard, J.J.: Nested autonomy for unmanned marine vehicles with MOOS-IvP. J. Field Robot. 27(6), 834–875 (2010)
Draper, M., Calhoun, G., Ruff, H., Williamson, D., Barry, T.: Manual versus speech input for unmanned aerial vehicle control station operations. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 47, pp. 109–113. SAGE Publications (2003)
Franke, J.L., Zaychik, V., Spura, T.M., Alves, E.E.: Inverting the operator/vehicle ratio: approaches to next generation UAV command and control. In: Proceedings of AUVSI Unmanned Systems North America 2005 (2005)
Hart, S.G., Staveland, L.E.: Development of NASA-TLX (task load index): results of empirical and theoretical research. Adv. Psychol. 52, 139–183 (1988)
Kearns, K.: RFI: autonomy for loyal wingman. Air Force Research Laboratory (AFRL), July 2015
Lee, A., Kawahara, T.: Recent development of open-source speech recognition engine Julius. In: Proceedings: APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, pp. 131–137. Asia-Pacific Signal and Information Processing Association, International Organizing Committee (2009)
Schaefer, K.E.: The Perception and measuerment of human-robot trust. Ph.D. thesis, University of Central Florida, August 2013
Uhrmann, J., Strenzke, R., Schulte, A.: Task-based guidance of multiple detached unmanned sensor platforms in military helicopter operations. In: COGIS, Crawley (2010)
Whittle, R.: MUM-T is the word for AH-64E: Helos fly, use drones. Breaking Defense, January 2015
Acknowledgments
The authors would like to acknowledge Alon Yaari for his technical support and the MIT Sailing Pavilion staff for their professionalism and support in designing and maintaining our safety protocols. We thank Paul Robinette and Alan Wagner for feedback and guidance throughout this work.
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Novitzky, M., Dougherty, H.R.R., Benjamin, M.R. (2016). A Human-Robot Speech Interface for an Autonomous Marine Teammate. In: Agah, A., Cabibihan, JJ., Howard, A., Salichs, M., He, H. (eds) Social Robotics. ICSR 2016. Lecture Notes in Computer Science(), vol 9979. Springer, Cham. https://doi.org/10.1007/978-3-319-47437-3_50
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DOI: https://doi.org/10.1007/978-3-319-47437-3_50
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