PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Navigating robots inside building

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a simplified version of the in-door navigation. It is based upon qualitative positioning that takes advantage of natural and artificial landmarks. The AR-tags are used as the latter. They bear semantic labels of elements of the building and allow the robot to position itself inside a particular compartment. Additionally, a concept of hybrid map is introduced. This map combines metric, topologie and semantic information about the working environment.
Rocznik
Strony
503--512
Opis fizyczny
Bibliogr. 18 poz., rys., wykr.
Twórcy
  • Faculty of Mechatronics, Warsaw University of Technology, Andrzeja Boboli 8, 02-525 Warsaw, Poland
autor
  • Faculty of Mechatronics, Warsaw University of Technology, Andrzeja Boboli 8, 02-525 Warsaw, Poland
  • Faculty of Mechatronics, Warsaw University of Technology, Andrzeja Boboli 8, 02-525 Warsaw, Poland
autor
  • Institute of Fundamental Technological Research (IPPT PAN), Pawinskiego 5B, 02-106 Warsaw, Poland
autor
  • Institute of Fundamental Technological Research (IPPT PAN), Pawinskiego 5B, 02-106 Warsaw, Poland
Bibliografia
  • [1] K. Azarm, G. Schmidt. A decentralized approach for the conflict-free motion of multiple mobile robots. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1996, pp. 16671674.
  • [2] M. Bennewitz, W. Burgard, S. Thrun. Optimizing schedules for prioritized path planning of multi-robot systems. In Proc. of the IEEE International Conference on Robotics & Automation (ICRA), 2000.
  • [3] J. Będkowski, Intelligent Mobile Assistant for Spatial Design Support, Journal of Automation in Construction (2013), pp. 177-186, DOI information: 10.1016/j.autcon.2012.09.009.
  • [4] M. Bhatt, Reasoning about space, actions and change: a paradigm for applications of spatial reasoning, in: Qualitative Spatial Representation and Reasoning: Trends and Future Directions, IGI Global, USA, 2010.
  • [5] H. Chu, H. A. Eimaraghy. Real-time multi-robot path planner based on a heuristic approach. In Proc. of the IEEE International Conference on Robotics & Automation (ICRA), 1992.
  • [6] J. C. Latombe. Robot Motion Planning. Kluwer Academic Publishers. MA Boston 1992.
  • [7] O. M. Mozos et al. Supervised semantic labeling of places using information extracted from sensor data. Robotics and Autonomous Systems, 2007, Vol. 5, pp. 392402.
  • [8] M. Pfingsthorn, B. Slamet, A. Visser. A scalable hybrid multi-robot slam method for highly detailed maps. In: Proceedings of the 11th RoboCup International Symposium. Proceedings, 2007.
  • [9] E. Remolina, B. Kuipers. Towards a general theory of topological maps. Artificial Intelligence, 2004, Vol. 152, No. 1, pp. 47 104.
  • [10] R. B. Rusu et al. Towards 3d point cloud based object maps for household environment. Journal of Robotics and Autonomous Systems, 2008, Vol. 56, pp. 927941.
  • [11] C. Schultz, M. Bhatt, A multi-modal data access framework for spatial assistance systems: use-cases with the building information model (bim/ifc), in: ISA, Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, 2010, pp. 3946.
  • [12] B. Siemiątkowska et al. Towards semantic navigation system. In: Recent Advances in Intelligent Information Systems. Proceedings Red. M. Klopotek et al. Exit, 2009, pp. 711720.
  • [13] S. Thrun, W. Burgard, D. Fox. Probabilistic Robotics (Intelligent Robotics and Autonomous Agents). The MIT Press 2005
  • [14] W. Turek, K. Cetnarowicz, M. Multan, T. Sośnicki, A. Borkowski. Modeling buildings in the context of Mobile Robotics. In Proceedings of the 13th Polish Conference on Robotics (KKR 2014), submitted.
  • [15] Alvar software, virtual.vtt.fi/virtual/proj2/multimedia/alvar
  • [16] AR_CODE. www.ar-code.it
  • [17] Kinect. www.xbox.com/pl-PL/Kinect
  • [18] RFID.www.rfidsolution.pl
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8f55438b-f3c7-4000-8c29-49bdfde07471
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.