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Tytuł artykułu

Rough surface description system in 2,5D map for mobile robot navigation

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EN
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EN
This paper presents a new solution in the roughness description based on 2,5D map. Three parameters for rough surface description were proposed. The research was performed to verify which parameter provides the best combination of time calculation and accuracy of the terrain roughness reconstruction. Prepared map may be used for mobile robot path planning.
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  • Technical University of Lodz, Institute of Machine Tools and Production Engineering, Stefanowskiego 1/15 St.; 90-924 Łódź
Bibliografia
  • [1] Tarutoko Y., Kobayashi K., Watanabe K., “Topological Map Generation based on Delaunay Triangulation for Mobile Robot”. In: SICE-ICASE International Joint Conference, 2006, p. 492.
  • [2] Siemiątkowska B., Szklarski J., Gnatowski M., Zychewicz A., “Budowa hybrydowej semantyczno-rastrowej reprezentacji otoczenia robota”, Pomiary Automatyka Kontrola, vol. 3, 2010, pp. 279–280 (in Polish).
  • [3] Ye C., JBorenstein J., “A Method for Mobile Robot Navigation on Rough Terrain”. In: International Conference on Robotics and Automation, New Orleans 2004, pp. 3863–3865.
  • [4] Triebel R., Patrick Pfaff P., Burgard W., “Multi-Level Surface Maps for Outdoor Terrain Mapping and Loop Closing”. In: International Conference on Intelligent Robots and Systems, Beijing, 2006, pp. 2276–2277.
  • [5] Fong E.H.L., Adams W., Crabbe F.L., Schultz A.C., “Representing a 3-D Environment with a 2,5-D Map Structure”. In: International Conference on Intelligent Robots and Systems, Las Vegas, 2003, pp. 2987–2989.
  • [6] Podsędkowski L., Nowakowski J., Idzikowski M., Visvary I., “Modified A* algorithm suitable for on-line car-like mobile robots control”, Robot Motion and Control, 1999, pp. 235–240.
  • [7] Podsędkowski L., Nowakowski J., Idzikowski M., Visvary I., “A new solution for path planning in partially known or unknown environment for nonholonomic mobile robots”, Robotics and Autonomous Systems, vol. 34, issues 2–3, 2001, pp. 142–152.
  • [8] Porta Garcia M.A., Montiel O., Castillo O., Sepulveda R., Melin P., “Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation”, Applied Soft Computing, vol. 9, issue 3, 2009, pp. 1102–1110.
  • [9] Latombe J.-C., Robot Motion Planning, Kluwer Accademic Publishers, 1991, pp. 297–313.
  • [10] Tang L., Dian S., Gu G., Zhou K., Wang S., Feng X., “A novel Potential Field Method for Obstacle Avoidance and Path Planning of Mobile Robot”, IEEE International Conference on Computer Science and Information Technology, vol. 9, 2010.
  • [11] Gu J., Cao Q., “Path planning using hybrid grid representation on rough terrain”, Industrial Robot: An International Journal, vol. 36, no. 5, 2009, pp. 497–502.
  • [12] Bigaj P., “A memetic algorithm for global path planning with movement constraints for a nonholonomic mobile robot”, PhD Dissertation, System Research Institute, Polish Academy of Sciences, publ. by PIAP, Warsaw 2012. ISBN: 978-83-61278-16-0.
  • [13] Amato N.M., Wu Y., “A Randomized Roadmap method for Path Planning and Manipulation Planning”. In: IEEE International Conference on Robotics and Automation, 1996, pp. 113–120.
  • [14] Lingelbach F., “Path Planning of Mobile Manipulation using Probabilistic Cell Decomposition”. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2004, pp. 2807–2812.
  • [15] Podsędkowski L., Idzikowski M., “Robot localisation methods using the laser scanners”. In: 4th International Workshop on Robot Motion and Control, Puszczykowo, Poland, 2004, Robot Motion and Control: Recent Developments, 2006, vol. 335, pp. 315–332.
  • [16] Idzikowski M., Podsędkowski L., “Simulation and experimental results of a new method for mobile robot localization”. In: 5th International Workshop on Robot Motion and Control, Puszczykowo, Poland, 23rd–25th June 2005, pp. 175–179.
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Bibliografia
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bwmeta1.element.baztech-a95eeab5-fc9a-4557-a5c7-8b02f8bc5bd6
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