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• W2116346290 abstract "A new ant algorithm for robot path planning is presented according to the latest achievements of research on actual ants. In this algorithm, m scout ants collaborate with each other to search for an optimal or near-optimal path. Of m scout ants, n ants adopt nearest-neighbor search strategy and the left q=m-n ants adopt random search strategy. A section of optimal path will be found after all ants search L steps. Then m ants regard the end point of as the new starting point and search for L steps to find the next section of optimal path . Repeat this process until one of m ants reaches the goal. In this way, the path is consisted of h sections of path with step length L. Carry out the next generation search after step length L is modified, then repeat the searching course mentioned above. An optimal or near-optimal path will be found through comparison after multi-generation of searching. The simulation experiment results show that an optimal or near-optimal path can be planned even in environment with very complex obstacles, which can meet the requirements of real-time planning or navigation. The effect is quite satisfying." @default.
• W2116346290 created "2016-06-24" @default.
• W2116346290 creator A5002461253 @default.
• W2116346290 creator A5071350243 @default.
• W2116346290 date "2008-01-01" @default.
• W2116346290 modified "2023-09-26" @default.
• W2116346290 title "A New Algorithm for Robot Path Planning Based on Scout Ant Cooperation" @default.
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• W2116346290 doi "https://doi.org/10.1109/icnc.2008.185" @default.
• W2116346290 hasPublicationYear "2008" @default.
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