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- W2364492049 abstract "The biologically inspired neural networks based path planning approaches of mobile robot were introduced.The generated path of mobile robot is realized by the dynamics neural activity landscape consisting of networks.Robot was attracted to the target through the neural activity propagation,while the obstacles put away the robot to avoid collision by making themselves stay at the valley of the activity landscape.Simulation demonstated that the generated path was continuous,smooth,and obstacle avoidance,not trapped in concave U-shaped obstacle,has nothing to do with the shape and location of the obstacles,can respond quickly to the fast changing environment.But the generated path may not be ideal,in the sense that the obstacle avoided path is not the shortest or approximatly shortest but relatively long in the situation that the number of the neighboring position possessing the max activitiy of current position is not sole.This disadvantage was analyzed in the paper,and a modified method was proposed to make the generated path is the shorest or approximatly shorest.Simulate the modified method,the simulation results show that the method is valid and feasible." @default.
- W2364492049 created "2016-06-24" @default.
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- W2364492049 date "2006-01-01" @default.
- W2364492049 modified "2023-09-24" @default.
- W2364492049 title "Robot Path Planning of Modified Biologically Inspired Neural Networks" @default.
- W2364492049 hasPublicationYear "2006" @default.
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