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Research on the Path of IGV Mobile Car Robot Based on Computer in Dynamic Environment
Author(s) -
Ronghua Xu,
Guoping Zhang,
Wenjin Yu,
Xuefeng Gao,
Qingsong Gao
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1648/3/032020
Subject(s) - mobile robot , motion planning , path (computing) , computer science , robot , simulation , mode (computer interface) , control theory (sociology) , artificial intelligence , human–computer interaction , control (management) , programming language
The evolution of various behavior modes of mobile robots described by non-linear differential equation in the dynamic environment of computer is used to simulate human path planning. The problem of path planning for mobile robots in computer dynamic environment is studied by behavioral dynamics method. Firstly, the behavior variables and behavior modes of path planning are determined, the course angle dynamics model and velocity dynamics model of the robot are constructed, and the unstable fixed points are analyzed, and the corresponding solutions are given. Secondly, in order to get a better path planning, the competitive model is used to adjust the weight of the behavior mode adaptively. And the computer simulation results show that the model is correct. And the weight adjustment is effective.

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