Three-dimensional path generation method of flying robot for overhead powerline inspection

被引：2
|
作者：
Liu C. [1 ]
Yang G. [1 ]
Wu H. [1 ]
Zhou H. [1 ]
机构：
[1] School of Control and Computer Engineering, North China Electric Power University
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2010年 / 38卷 / 12期
关键词：
Flying robot for overhead powerline inspection; Hierarchical Markov decision process; Three-dimensional trajectory generation;
D O I：
10.3969/j.issn.0253-374x.2010.12.021
中图分类号：
学科分类号：
摘要：
This paper presents a study of a flying robot for overhead powerline inspection trajectory generation method based on Markov model. A hierarchical Markov decision-making process model based on state clustering method, which combines the basic standards of flying robot for overhead powerline inspection and a high degree of stratification, is presented. The original flight trajectory will be a new one that is consistent with its dynamics constraint. Finally, the methods and strategies are applied to the simulation tools to verify their validity and correctness.
引用
收藏
页码：1822 / 1827
页数：5
相关论文
共 11 条
  • [1] Zhang J., Liu T., Optimized path planning of mobile robot based on artificial potential field, Acta Aeronautica Et Astronautica Sinica, 28, S1, (2007)
  • [2] Sun H., Zhu H., Study on path planning for UAV based on probabilistic roadmap method, Acta Simulata Systematica Sinica, 11, (2006)
  • [3] Foka A.F., Trahanias P.E., Predictive autonomous robot navigation, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 490-495, (2002)
  • [4] Hong Y., Fang J., Hierarchical Markov decision processes based path planning for UAV in three-dimensional environment, Journal of Beijing University of Aeronautics and Astronautics, 35, 1, (2009)
  • [5] Baker B., Zivkovic Z., Krose B., Et al., Hierarchical dynamic programming for robot path planning, Proceedings of the 2001 IEEE International Conference on Robotics & Automation, pp. 46-50, (2002)
  • [6] Shi H., Zhang Y., Tong R., Et al., Path planning for automated navigation in virtual environment, Journal of Computer-Aided Design & Computer Graphics, 4, 18, (2006)
  • [7] Salomon B., Garber M., Interactive navigation in complex environment using path planning, Proceedings of Symposium on Interactive 3D Graphics, pp. 41-50, (2003)
  • [8] Peters B., Dziugys A., Numerical simulation of the motion of granular material using object oriented techniques, Computer Methods in Applied Mechanics and Engineering, 5, 3, (2002)
  • [9] Nieuwenhuisen D., Overmars M., Motion Planning for Camera Movements in Virtual Environments, (2003)
  • [10] Korf R.E., Depth2first iterative deepening: an optimal admissible tree search, Artificial Intelligence, 27, 1, (1985)
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