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Making the Case for Human-Aware Navigation in Warehouses

  • Manuel Fernandez CarmonaEmail author
  • Tejas Parekh
  • Marc Hanheide
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11650)

Abstract

This work addresses the performance of several local planners for navigation of autonomous pallet trucks in the presence of humans in a simulated warehouse as well as a complementary approach developed within the ILIAD project. Our focus is to stress the open problem of a safe manoeuvrability of pallet trucks in the presence of moving humans. We propose a variation of ROS navigation stack that includes in the planning process a model of the human robot interaction.

Keywords

Logistics Human-aware navigation 

References

  1. 1.
    Andreasson, H., Saarinen, J., et al.: Fast, continuous state path smoothing to improve navigation accuracy. In: 2015 IEEE ICRA, pp. 662–669, May 2015.  https://doi.org/10.1109/ICRA.2015.7139250
  2. 2.
    Dondrup, C., Bellotto, N., et al.: A computational model of human-robot spatial interactions based on a qualitative trajectory calculus. Robotics 4(1), 63–102 (2015).  https://doi.org/10.3390/robotics4010063. http://www.mdpi.com/2218-6581/4/1/63/CrossRefGoogle Scholar
  3. 3.
    Fox, D., Burgard, W., et al.: The dynamic window approach to collision avoidance. IEEE Robot. Autom. Mag. 4(1), 23–33 (1997).  https://doi.org/10.1109/100.580977CrossRefGoogle Scholar
  4. 4.
    Huettenrauch, H., Eklundh, K.S., Green, A., Topp, E.A.: Investigating spatial relationships in human-robot interaction. In: IEEE International Conference on Intelligent Robots and Systems (2006).  https://doi.org/10.1109/IROS.2006.282535
  5. 5.
    Kruse, T., Pandey, A.K., Alami, R., Kirsch, A.: Human-aware robot navigation: a survey. Robot. Auton. Syst. 61(12), 1726–1743 (2013).  https://doi.org/10.1016/j.robot.2013.05.007CrossRefGoogle Scholar
  6. 6.
    Lichtenthaler, C., Lorenzy, T., Kirsch, A.: Influence of legibility on perceived safety in a virtual human-robot path crossing task. In: Proceedings of IEEE International Workshop on Robot and Human Interactive Communication (2012).  https://doi.org/10.1109/ROMAN.2012.6343829
  7. 7.
    Linder, T., Breuers, S., et al.: On multi-modal people tracking from mobile platforms in very crowded and dynamic environments. In: 2016 ICRA (2016)Google Scholar
  8. 8.
    Pfeiffer, M., Shukla, S., et al.: Reinforced imitation: sample efficient deep reinforcement learning for mapless navigation by leveraging prior demonstrations. IEEE Robot. Autom. Lett. 3(4), 4423–4430 (2018)CrossRefGoogle Scholar
  9. 9.
    Rösmann, C., Feiten, W., et al.: Efficient trajectory optimization using a sparse model. In: 2013 European Conference on Mobile Robots. pp. 138–143, September 2013.  https://doi.org/10.1109/ECMR.2013.6698833

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Manuel Fernandez Carmona
    • 1
    Email author
  • Tejas Parekh
    • 1
  • Marc Hanheide
    • 1
  1. 1.School of Computer ScienceUniversity of LincolnLincolnUK

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