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Cloud computing support for the multi-agent robot navigation system

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Języki publikacji
EN
Abstrakty
EN
This paper presents a navigation system structure for mobile service robots in the agent-based distributed architecture. The proposed navigation system is a part of the RAPP framework. The RAPP framework is an open-source software platform to support the creation and delivery of robotic applications, which are expected to increase the versatility and utility of robots. All key navigation tasks are defined and divided into separate components. The proper allocation of navigation components, in the fouragent structure of the RAPP infrastructure, enables highdemanding computations offloading and was the main goal of this work. Navigation system components were implemented using ROS framework. Experimental results for the NAO robot executing risks detection task proved the validity of the proposed approach.
Twórcy
autor
  • Institute of Control and Computation Engineering, Warsaw University of Technology, 00–665 Warszawa, ul. Nowowiejska 15/19, https://www.robotyka.ia.pw.edu.pl/
  • Institute of Control and Computation Engineering, Warsaw University of Technology, 00–665 Warszawa, ul. Nowowiejska 15/19
autor
  • Institute of Control and Computation Engineering, Warsaw University of Technology, 00–665 Warszawa, ul. Nowowiejska 15/19
Bibliografia
  • [1] R. Arumugam, V. Enti, L. Bingbing, W. Xiaojun, K. Baskaran, F. F. Kong, A. S. Kumar, K. D. Meng,and G. W. Kit, “DAvinCi: A cloud computing framework for service robots”. In: Robotics and Automation (ICRA), 2010 IEEE International Conference on, 2010, 3084–3089.
  • [2] W. Dudek, K. Banachowicz, W. Szynkiewicz, and T. Winiarski, “Distributed NAO robot navigation system in the hazard detection application”. In: 21th IEEE International Conference on Methods and Models in Automation and Robotics, MMAR’2016, 2016, 942–947, 10.1109/MMAR.2016.7575264.
  • [3] W. Dudek, W. Szynkiewicz, and T. Winiarski, “Nao Robot Navigation System Structure Development in an Agent-Based Architecture of the RAPP Platform”. In: R. Szewczyk, C. Zieliński, and M. Kaliczyńska, eds., Recent Advances in Automation, Robotics and Measuring Techniques, vol. 440, 2016, 623–633, 10.1007/978-3-319-29357-8_54.
  • [4] O. S. R. Foundatioin. “Robot Operating System”. http://ros.org/. [Online; accessed 10-April2016].
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  • [6] B. Kehoe, S. Patil, P. Abbeel, and K. Goldberg, “A survey of research on cloud robotics and automation”, IEEE Transactions on Automation Science and Engineering, vol. 12, no. 2, 2015, 398–409, 10.1109/TASE.2014.2376492.
  • [7] R. L. Krutz and R. D. Vines, Cloud Security: A Comprehensive Guide to Secure Cloud Computing, Wiley Publishing, 2010.
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  • [9] P. Mitkas, “Assistive robots as future caregivers: The rapp approach”. In: R. Szewczyk, C. Zieliński, and M. Kaliczyńska, eds., Progress in Automation, Robotics and Measuring Techniques. Vol. 2 Robotics., vol. 351, 2015, 171–179.
  • [10] G. Mohanarajah, D. Hunziker, R. D’Andrea, and M. Waibel, “Rapyuta: A cloud robotics platform”, IEEE Transactions on Automation Science and Engineering, vol. 12, no. 2, 2015, 481–493, 10.1109/TASE.2014.2329556.
  • [11] M. Quigley, K. Conley, B. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A. Y. Ng, “ROS: an open73 Journal of Automation, Mobile Robotics & Intelligent Systems VOLUME 11, N◦ 2 2017 source Robot Operating System”. In: ICRA workshop on open source software, vol. 3, no. 3.2, 2009.
  • [12] J. Riazuelo, J. Civera, and J. M. M. Montiel, “C2TAM: A cloud framework for cooperative tracking and mapping”, Robotics and Autonomous Systems, vol. 62, no. 4, 2014, 401–413.
  • [13] J. Salmerón-Garcıa, P. IƵñ igo Blasco, F. D. del Rıo,and D. Cagigas-Muñiz, “A tradeoff analysis of a cloud-based robot navigation assistant using stereo image processing”, IEEE Transactions on Automation Science and Engineering, vol. 12, no. 2, 2015, 444–454, 10.1109/TASE.2015.2403593.
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  • [17] C. Zieliński, W. Szynkiewicz, M. Figat, M. Szlenk, T. Kornuta, W. Kasprzak, M. Stefańczyk, T. Zielińska, and J. Figat, “Reconϐigurable control architecture for exploratory robots”. In: K. Kozłowski,ed., 10th International Workshop on Robot Motion and Control (RoMoCo), 2015, 130–135, 10.1109/RoMoCo.2015.7219724.
  • [18] C. Zieliński, T. Kornuta, and T. Winiarski, “A systematic method of designing control systems for service and field robots”. In: 19-th IEEE International Conference on Methods and Modelsin Automation and Robotics, MMAR, 2014, 1–14,10.1109/MMAR.2014.6957317.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
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Bibliografia
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