A Path Planning Method for Comprehensive Area Coverage Utilizing Neuron Activity

J Luo, H Shun, Y Hao - 2023 5th International Conference on …, 2023 - ieeexplore.ieee.org
J Luo, H Shun, Y Hao
2023 5th International Conference on Robotics, Intelligent Control …, 2023ieeexplore.ieee.org
Path planning plays a pivotal role in the realm of robotic intelligence. Its primary function is to
break down tasks into executable motion instructions for the robot and furnish the necessary
guidance for its operations. Consequently, the effectiveness of path planning significantly
influences the efficiency of intelligent operations. Path planning methods are confronted with
multifaceted task requirements and spatial constraints. In response to these challenges, this
paper introduces a full coverage path planning method based on neuron activity. This …
Path planning plays a pivotal role in the realm of robotic intelligence. Its primary function is to break down tasks into executable motion instructions for the robot and furnish the necessary guidance for its operations. Consequently, the effectiveness of path planning significantly influences the efficiency of intelligent operations. Path planning methods are confronted with multifaceted task requirements and spatial constraints. In response to these challenges, this paper introduces a full coverage path planning method based on neuron activity. This method streamlines each component of the conventional neuron activity calculation formula, resulting in a straightforward structure and reduced computational demands. Furthermore, with the incorporation of the weight term for motion direction, the method demonstrates superior performance compared to the unit decomposition method in metrics such as path length, repetition rate, and path angle.
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