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A new fuzzy-based spatial model for robot navigation among dynamic obstacles

Iraji, R ; Sharif University of Technology | 2007

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  1. Type of Document: Article
  2. DOI: 10.1109/ICCA.2007.4376575
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2007
  4. Abstract:
  5. This paper presents a new approach based on Artificial Potential Fields (APF) method which provides simple and effective motion planners for practical path planning in fully dynamic environments. We have exploited the fuzzy modeling to define Fuzzy Artificial Potential Fields (FAPF) which provides a real-time and flexible path planning, in contrast with classical approaches which make use of analytic harmonic functions to solve the navigation problem. It is shown that FAPF paves a way to merge both global and local path planning strategies. In this particular application, the proposed fuzzy system is used to obtain the gradient of the harmonic functions via weighting the membership functions of obstacles and goal. Our proposed technique 1) constructs a "good" fuzzy model for APF; 2) efficiently escapes local minima occurred in path planning using virtual obstacle concept; and 3) can combine the advantages of both the local and global approaches. A path planner based on this technique has been implemented. Simulations show that the planner is both very fast and capable of handling the local minima which can trap mobile robots before reaching the goal. Variety of problems which are far beyond the capabilities of previously developed planners is solved. © 2007 IEEE
  6. Keywords:
  7. Collision avoidance ; Computer simulation ; Functions ; Harmonic analysis ; Mathematical models ; Motion compensation ; Motion planning ; Real time control ; Artificial potential field ; Fuzzy modeling ; Harmonic functions ; Local minima ; Virtual obstacles ; Fuzzy systems
  8. Source: 2007 IEEE International Conference on Control and Automation, ICCA, Guangzhou, 30 May 2007 through 1 June 2007 ; 2007 , Pages 1323-1328 ; 1424408180 (ISBN); 9781424408184 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4376575