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모바일 로봇의 네비게이션을 위한 빠른 경로 생성 알고리즘

Fast Path Planning Algorithm for Mobile Robot Navigation

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초록

Mobile robots use an environment map of its workspace to complete the surveillance task. However grid-based maps that are commonly used map format for mobile robot navigation use a large size of memory for accurate representation of environment. In this reason, grid-based maps are not suitable for path planning of mobile robots using embedded board. In this paper, we present the path planning algorithm that produce a secure path rapidly. The proposed approach utilizes a hybrid map that uses less memory than grid map and has same efficiency of a topological map. Experimental results show that the fast path planning uses only 1.5% of the time that a grid map based path planning requires. And the results show a secure path for mobile robot.

Abstract

Mobile robots use an environment map of its workspace to complete the surveillance task. However grid-based maps that are commonly used map format for mobile robot navigation use a large size of memory for accurate representation of environment. In this reason, grid-based maps are not suitable for path planning of mobile robots using embedded board. In this paper, we present the path planning algorithm that produce a secure path rapidly. The proposed approach utilizes a hybrid map that uses less memory than grid map and has same efficiency of a topological map. Experimental results show that the fast path planning uses only 1.5% of the time that a grid map based path planning requires. And the results show a secure path for mobile robot.

참고문헌 (12)

  1. X. Wu, "Surveillance Robot Utilizing Video and Audio Information", Journal of Intelligent and Robotic Systems, 55(4-5), pp.403~421 (2009)
  2. T. Theodoridis, "Toward Intelligent Security Robots : A Survey", IEEE Transactions on Systems, Man, and Cybernetics, 42(6), pp.1219~1230 (2012)
  3. O. Hachour, "Path planning of Autonomous Mobile robot", International Journal Of Systems Applications, Engineering &Development, Issue 4, 2, pp.178~190 (2008)
  4. A. Yang, "An Efficient Algorithm for Grid-Based Robotic Path Planning Based on Priority Sorting of Direction Vectors", Life System Modeling and Intelligent Computing, 6329, pp.456~466 (2010)
  5. M. A. Marzouqi, "Efficient path planning for searching a 2-D grid-based environment map", Proceedings of IEEE GCC Conference and Exhibition, pp.116~119 (2011)
  6. Y. Choi, "Online complete coverage path planning for mobile robots based on linked spiral paths using constrained inverse distance transform", Proceeding of International Conference on Intelligent Robots and Systems, pp.5788~5793 (2009)
  7. N. Hazon, "Distributed coverage with mobile robots on a graph: Locational optimization", Proceeding. of IEEE International Conference on Robotics and Automation, pp.634~641 (2012)
  8. H. Durrant-whyte, "Simultaneous Localization and Mapping : Part I", IEEE Robotics & Automation Magazine, 13(2), pp.99~110 (2006)
  9. A. I. Eliazar, "DP-SLAM : Fast, Robust Simultaneous Localization and Mapping Without P r e d e t e rmi n e d Landmarks", Proceeding of International Joint Conference on Artificial Intelligence, pp.1135~1142 (2003)
  10. 김동환, "다양한 센서 융합을 통한 효율적인 모바일로봇 프레임워크 설계", 대한임베디드공학회논문지, 6(3), pp.124~131 (2011), 대한임베디드공학회
  11. J. K. Park, "R-Map : A Hybrid Map for Mobile Robot In Ubiquitous Computing Environment", Information Journal, 16(4), pp.2599~2606 (2013)
  12. T. H. Cormen, "Introduction to Algorithms Second Edition", pp.595~601 (2001), MIT Press and McGraw-Hill

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