Measuring the Effects of Communication Quality on Multi-robot Team Performance

  • Conference paper
  • First Online:
Towards Autonomous Robotic Systems (TAROS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10454))

Included in the following conference series:

  • 3233 Accesses

Abstract

Maintaining network connectivity is crucial for multi-robot and human-robot teams. If robots lose their network connection, they cannot receive commands or share sensor data with teammates. Most research in the multi-robot systems and human-robot interaction communities assumes 100% network connectivity, 100% of the time; but this is unrealistic for real-world domains. Indeed, this assumption could be associated with significant risk, depending on the robots’ task domain. This paper presents preliminary results for measuring the impact of communication loss on multi-robot team performance. A series of controlled experiments were conducted, with physical and simulated robots, where the probability of packet loss is gradually increased from 0% to 75%. The experiments show that the multi-robot team exhibits a non-linear decrease in performance with respect to an increase in percentage of packets dropped.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    https://www.rabbitmq.com/.

  2. 2.

    http://www.turtlebot.com/.

  3. 3.

    https://www.asus.com/3D-Sensor/Xtion_PRO_LIVE/.

  4. 4.

    https://www.acer.com/ac/en/GB/content/professional-series/travelmateb.

  5. 5.

    https://www.eduroam.org/.

  6. 6.

    Specifically, the messages that were passed were ROS amcl_pose_msg messages.

References

  1. Python: Scipy stats library (2008–2016). https://docs.scipy.org/doc/scipy-0.15.1/reference/stats.html

  2. Al-Akkad, A., Raffelsberger, C., Boden, A., Ramirez, L., Zimmermann, A.: Tweeting when online is off? opportunistically creating mobile ad-hoc networks in response to disrupted infrastructure. In: 11th International ISCRAM Conference Proceedings, Pennsylvania, May 2014

    Google Scholar 

  3. Gerkey, B., Vaughan, R.T., Howard, A.: The player/stage project: tools for multi-robot and distributed sensor systems. In: Proceedings of the 11th International Conference on Advanced Robotics (2003)

    Google Scholar 

  4. Gerkey, B.P., Mataríc, M.J.: A formal analysis and taxonomy of task allocation in multi-robot systems. Int. J. Robot. Res. 23(9), 939–954 (2004)

    Article  Google Scholar 

  5. Gunn, T., Anderson, J.: Dynamic heterogeneous team formation for robotic urban search and rescue. J. Comput. Syst. Sci. 81(3), 553–567 (2015)

    Article  Google Scholar 

  6. Jensen, E.A., Nunes, E., Gini, M.: Communication-restricted exploration for robot teams. In: Proceedings of the 28th AAAI Conference on Artificial Intelligence (2014)

    Google Scholar 

  7. Landén, D., Heintz, F., Doherty, P.: Complex task allocation in mixed-initiative delegation: a UAV case study. In: Desai, N., Liu, A., Winikoff, M. (eds.) PRIMA 2010. LNCS, vol. 7057, pp. 288–303. Springer, Heidelberg (2012). doi:10.1007/978-3-642-25920-3_20

    Chapter  Google Scholar 

  8. Murphy, R.R., Srinivasan, V., Henkel, Z., Suarez, J., Minson, M., Straus, J., Hempstead, S., Valdez, T., Egawa, S.: Interacting with trapped victims using robots. In: IEEE International Conference on Technologies for Homeland Security (HST), Waltham, Massachusetts, November 2016

    Google Scholar 

  9. Quigley, M., Conley, K., Gerkey, B.P., Faust, J., Foote, T., Leibs, J., Wheeler, R., Ng, A.Y.: ROS: an open-source robot operating system. In: ICRA Workshop on Open Source Software (2009)

    Google Scholar 

  10. Rowan, D.: Kinect for Xbox 360: The inside story of Microsoft’s secret ‘Project Natal’. Wired, 29 October 2010

    Google Scholar 

  11. Ruiz-Zafra, A., Nez, A.G., Penads, M.C., H.Cans, J., Borges, M.R.: SUCRE: supporting users, controllers and responders in emergencies. In: 11th International ISCRAM Conference Proceedings, Pennsylvania, May 2014

    Google Scholar 

  12. Schneider, E., Sklar, E.I., Parsons, S.: Evaluating multi-robot teamwork in varied environments. In: Proceedings of the 17th Towards Autonomous Robotic Systems (TAROS), awarded Best Student Paper Prize (2016)

    Google Scholar 

  13. Schneider, E., Sklar, E.I., Parsons, S., Özgelen, A.T.: Auction-based task allocation for multi-robot teams in dynamic environments. In: Dixon, C., Tuyls, K. (eds.) TAROS 2015. LNCS, vol. 9287, pp. 246–257. Springer, Cham (2015). doi:10.1007/978-3-319-22416-9_29

    Chapter  Google Scholar 

  14. Shapiro, S.S., Wilk, M.B.: An analysis of variance test for normality. Biometrika 44(3/4), 591–611 (1995)

    MathSciNet  MATH  Google Scholar 

  15. Sutton, J., Spiro, E., Fitzhugh, S., Johnson, B., Gibson, B., Butts, C.T.: Online message amplification in the boston bombing response. In: 11th International ISCRAM Conference Proceedings, Pennsylvania, May 2014

    Google Scholar 

  16. Takahashi, T., Kitamura, Y., Miwa, H.: Organizing rescue agents using ad-hoc networks. In: Pérez, J., et al. (eds.) Highlights on Practical Applications of Agents and Multi-Agent Systems. AISC, vol. 156, pp. 139–146. Springer, Heidelberg (2012). doi:10.1007/978-3-642-28762-6_17

    Chapter  Google Scholar 

  17. Tapia, A.H., LaLone, N., Kim, H.W.: Run Amok: group crowd participation in identifying the bomb and bomber from the boston marathon bombing. In: 11th International ISCRAM Conference Proceedings, Pennsylvania, May 2014

    Google Scholar 

  18. Zadorozhny, V., Lewis, M.: Information fusion for USAR operations based on crowdsourcing. In: 16th International Conference on Information Fusion (FUSION), Istanbul, Turkey, July 2013

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tsvetan Zhivkov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Zhivkov, T., Schneider, E., Sklar, E.I. (2017). Measuring the Effects of Communication Quality on Multi-robot Team Performance. In: Gao, Y., Fallah, S., **, Y., Lekakou, C. (eds) Towards Autonomous Robotic Systems. TAROS 2017. Lecture Notes in Computer Science(), vol 10454. Springer, Cham. https://doi.org/10.1007/978-3-319-64107-2_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-64107-2_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64106-5

  • Online ISBN: 978-3-319-64107-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Navigation