Skip to main content

Prioritizing Tasks Within a Robotic Transportation System for a Smart Hospital Environment

  • Conference paper
  • First Online:
Interactive Collaborative Robotics (ICR 2021)

Abstract

This paper describes a design and an implementation of a small-scale robotic transportation system, which operates in a smart hospital environment. Within a proposed framework unmanned ground vehicles (UGV) perform transportation tasks between multiple stations that are located in different rooms. The UGVs navigate in the environment with moving objects in accordance with basic traffic rules, which consider priorities of particular tasks of each UGV. UGVs’ behavior is defined by a state machine and transitions between these states, which allows to make the robots’ behavior more predictable and controllable. Virtual experiments were carried out in a simulation of an entire floor of a small-size hospital building using the Gazebo simulator. The experiments confirmed that using various task priorities shorten a path length of robots with high priorities and thus reduce their task execution time.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Abbyasov, B., Lavrenov, R., Zakiev, A., Yakovlev, K., Svinin, M., Magid, E.: Automatic tool for gazebo world construction: from a grayscale image to a 3D solid model. In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 7226–7232 (2020). https://doi.org/10.1109/ICRA40945.2020.9196621

  2. AWS robomaker: Amazon cloud robotics platform. https://github.com/aws-robotics/aws-robomaker-hospital-world

  3. Bačík, J., Durovskỳ, F., Biroš, M., Kyslan, K., Perdukova, D., Padmanaban, S.: Pathfinder-development of automated guided vehicle for hospital logistics. IEEE Access 5, 26892–26900 (2017)

    Article  Google Scholar 

  4. Berntorp, K.: Path planning and integrated collision avoidance for autonomous vehicles. In: 2017 American Control Conference (ACC), pp. 4023–4028. IEEE (2017)

    Google Scholar 

  5. Bohren, J., Cousins, S.: The SMACH high-level executive [ROS news]. IEEE Robot. Autom. Mag. 17(4), 18–20 (2010). https://doi.org/10.1109/MRA.2010.938836

    Article  Google Scholar 

  6. Bohren, J.: SMACH smach\(\_\)viewer package wiki page. http://wiki.ros.org/smach_viewer

  7. Coulter, R.C.: Implementation of the pure pursuit path tracking algorithm. Technical report, Carnegie Mellon University (1992)

    Google Scholar 

  8. Fragapane, G., Zhang, C., Sgarbossa, F., Strandhagen, J.O.: An agent-based simulation approach to model hospital logistics. Int. J. Simul. Model. 18(4), 654–665 (2019)

    Article  Google Scholar 

  9. Fragapane, G., Hvolby, H.-H., Sgarbossa, F., Strandhagen, J.O.: Autonomous mobile robots in hospital logistics. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds.) APMS 2020. IAICT, vol. 591, pp. 672–679. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-57993-7_76

    Chapter  Google Scholar 

  10. Fung, W.K., et al.: Development of a hospital service robot for transporting task. In: Proceedings of the IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, vol. 1, pp. 628–633 (2003). https://doi.org/10.1109/RISSP.2003.1285647

  11. Galin, R., Meshcheryakov, R.: Automation and robotics in the context of industry 4.0: the shift to collaborative robots. In: IOP Conference Series: Materials Science and Engineering, vol. 537, p. 032073. IOP Publishing (2019)

    Google Scholar 

  12. Kam, H.R., Lee, S.H., Park, T., Kim, C.H.: RViz: a toolkit for real domain data visualization. Telecommun. Syst. 60(2), 337–345 (2015)

    Article  Google Scholar 

  13. Kumar, B., Sharma, L., Wu, S.L.: Job allocation schemes for mobile service robots in hospitals. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1323–1326. IEEE (2018)

    Google Scholar 

  14. Lavrenov, R., Magid, E., Matsuno, F., Svinin, M., Suthakorn, J.: Development and implementation of spline-based path planning algorithm in ROS/Gazebo environment. Trudy SPIIRAN 18(1), 57–84 (2019)

    Google Scholar 

  15. Magid, E., Lavrenov, R., Svinin, M., Khasianov, A.: Combining Voronoi graph and spline-based approaches for a mobile robot path planning. In: Gusikhin, O., Madani, K. (eds.) ICINCO 2017. LNEE, vol. 495, pp. 475–496. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-11292-9_24

    Chapter  Google Scholar 

  16. Magid, E., Zakiev, A., Tsoy, T., Lavrenov, R., Rizvanov, A.: Automating pandemic mitigation. Adv. Robot. 1–18 (2021). https://doi.org/10.1080/01691864.2021.1905059

  17. Open Robotics Foundation. Gmapping ROS package web page. http://wiki.ros.org/gmapping

  18. Ozkil, A.G., Fan, Z., Dawids, S., Aanes, H., Kristensen, J.K., Christensen, K.H.: Service robots for hospitals: a case study of transportation tasks in a hospital. In: International Conference on Automation and Logistics, pp. 289–294. IEEE (2009)

    Google Scholar 

  19. Ramil, S., Lavrenov, R., Tsoy, T., Svinin, M., Magid, E.: Real-time video server implementation for a mobile robot. In: 2018 11th International Conference on Developments in eSystems Engineering (DeSE), pp. 180–185. IEEE (2018)

    Google Scholar 

  20. ROS Operating System. http://wiki.ros.org

  21. Rösmann, C., Feiten, W., Wösch, T., Hoffmann, F., Bertram, T.: Efficient trajectory optimization using a sparse model. In: 2013 European Conference on Mobile Robots, pp. 138–143. IEEE (2013)

    Google Scholar 

  22. Rösmann, C.: Teb\(\_\)local\(\_\)planner ROS package web page. http://wiki.ros.org/teb_local_planner

  23. Sagitov, A., Gavrilova, L., Tsoy, T., Li, H.: Design of simple one-arm surgical robot for minimally invasive surgery. In: 2019 12th International Conference on Developments in eSystems Engineering (DeSE), pp. 500–503. IEEE (2019)

    Google Scholar 

  24. Sun, Y., Coltin, B., Veloso, M.: Interruptible autonomy: towards dialog-based robot task management. In: 27th AAAI Conference on Artificial Intelligence (2013)

    Google Scholar 

  25. Thrun, S., Fox, D., Burgard, W., Dellaert, F.: Robust Monte Carlo localization for mobile robots. Artif. Intell. 128(1–2), 99–141 (2001)

    Article  Google Scholar 

  26. Zakharov, K., Saveliev, A., Sivchenko, O.: Energy-efficient path planning algorithm on three-dimensional large-scale terrain maps for mobile robots. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds.) ICR 2020. LNCS (LNAI), vol. 12336, pp. 319–330. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60337-3_31

    Chapter  Google Scholar 

Download references

Acknowledgements

This work was supported by the Russian Foundation for Basic Research (RFBR), project ID 19-58-70002. The fifth author acknowledges the support of the Japan Science and Technology Agency, the JST Strategic International Collaborative Research Program, Project No. 18065977. This work is part of Kazan Federal University Strategic Academic Leadership Program. Special thanks to PAL Robotics for their kind professional support with TIAGo Base robot’s Gazebo simulation related issues.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Roman Lavrenov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Safin, R. et al. (2021). Prioritizing Tasks Within a Robotic Transportation System for a Smart Hospital Environment. In: Ronzhin, A., Rigoll, G., Meshcheryakov, R. (eds) Interactive Collaborative Robotics. ICR 2021. Lecture Notes in Computer Science(), vol 12998. Springer, Cham. https://doi.org/10.1007/978-3-030-87725-5_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-87725-5_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87724-8

  • Online ISBN: 978-3-030-87725-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics