Robust Navigation Algorithm of the Underwater Robot in the Unknown Underwater Environment
Authors: Choi, Sung Hee; Han, Sun Sin; Lee, Jang Myung
Source: Advanced Science Letters, Volume 14, Number 1, July 2012 , pp. 209-217(9)
Publisher: American Scientific Publishers
Abstract:This paper proposes an algorithm that enables the safe navigation toward the destination without collisions to the obstacle in the three-dimensional environment with an obstacle like a hill and sea mount and with the unpredictable force like the ocean current. Recently the study about the underwater robot goes ahead actively and above all, the navigation in the underwater environment has become a challenging problem for the underwater robots. Using the heuristic method, an effective motion for the navigation of the underwater robot is created and the most stable motion direction without collisions is calculated using the fuzzy theory. It creates total 26 cells for the robot to move along and each cell has its own weight so that the robot can select a next moving cell by priority in the same environment. In this paper, the navigation of the underwater robot in underwater environment has been observed through the simulations when the force like ocean exists. It is confirmed that the obstacle avoidance can be successfully achieved by analyzing and changing the weights in the fuzzy algorithm according to the motion of the robot.
Document Type: Research Article
Publication date: 2012-07-01
- ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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