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What is Neural Network Path Planning for Robots about?

This paper presents a novel neural network approach for complete coverage path planning (CCPP) of cleaning robots in dynamic environments. The method utilizes a topologically organized neural network to autonomously generate collision-free paths without prior knowledge of the environment, relying on local connections among neurons and a dynamic activity landscape. Simulation results demonstrate the effectiveness of the proposed model in planning optimal paths for various robotic applications, including clea

Author

Thắng Lê Nhựt

Language

EN