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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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
AWS robomaker: Amazon cloud robotics platform. https://github.com/aws-robotics/aws-robomaker-hospital-world
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)
Berntorp, K.: Path planning and integrated collision avoidance for autonomous vehicles. In: 2017 American Control Conference (ACC), pp. 4023–4028. IEEE (2017)
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
Bohren, J.: SMACH smach\(\_\)viewer package wiki page. http://wiki.ros.org/smach_viewer
Coulter, R.C.: Implementation of the pure pursuit path tracking algorithm. Technical report, Carnegie Mellon University (1992)
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)
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
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
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)
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)
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)
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)
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
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
Open Robotics Foundation. Gmapping ROS package web page. http://wiki.ros.org/gmapping
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)
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)
ROS Operating System. http://wiki.ros.org
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)
Rösmann, C.: Teb\(\_\)local\(\_\)planner ROS package web page. http://wiki.ros.org/teb_local_planner
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)
Sun, Y., Coltin, B., Veloso, M.: Interruptible autonomy: towards dialog-based robot task management. In: 27th AAAI Conference on Artificial Intelligence (2013)
Thrun, S., Fox, D., Burgard, W., Dellaert, F.: Robust Monte Carlo localization for mobile robots. Artif. Intell. 128(1–2), 99–141 (2001)
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
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
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
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)