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A Human-Robot Speech Interface for an Autonomous Marine Teammate

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Social Robotics (ICSR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9979))

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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

  1. United States Air Force unmanned aircraft systems flight plan 2009–2047. Headquarters, U.S. Air Force, p. 34, May 2009

    Google Scholar 

  2. 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)

    Article  Google Scholar 

  3. 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)

    Google Scholar 

  4. 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)

    Google Scholar 

  5. 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)

    Article  Google Scholar 

  6. Kearns, K.: RFI: autonomy for loyal wingman. Air Force Research Laboratory (AFRL), July 2015

    Google Scholar 

  7. 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)

    Google Scholar 

  8. Schaefer, K.E.: The Perception and measuerment of human-robot trust. Ph.D. thesis, University of Central Florida, August 2013

    Google Scholar 

  9. Uhrmann, J., Strenzke, R., Schulte, A.: Task-based guidance of multiple detached unmanned sensor platforms in military helicopter operations. In: COGIS, Crawley (2010)

    Google Scholar 

  10. Whittle, R.: MUM-T is the word for AH-64E: Helos fly, use drones. Breaking Defense, January 2015

    Google Scholar 

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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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Correspondence to Michael Novitzky .

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47436-6

  • Online ISBN: 978-3-319-47437-3

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