Visual perception based on cellular neural network for a partner robot

This paper proposes a new path planning algorithm based on the CNN model. The path planning problem is completed with the dynamics of CNN by establishing a relationship between path control points and CNN cells. Based on the analysis of one dimensional space of CNN algorithm, a CNN equation is constructed and the path updating algorithm under the curvature constraint is obtained, then the stability of the algorithm is discussed. Path planning simulation based on two-dimensional space shows that this algorithm can avoid re-planning or falling into the local minimum, which means it can be successfully used in the path planning and maintenance of robots on the ground in dynamic environment.

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A Path Planning Algorithm Based on the CNN Model under the Curvature Constraint

Wang

Jiang

2014

AMR

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Visual perception based on cellular neural network for a partner robot

Cited by 1 publication

References 13 publications

A Path Planning Algorithm Based on the CNN Model under the Curvature Constraint

A Path Planning Algorithm Based on the CNN Model under the Curvature Constraint

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