2023
DOI: 10.1109/access.2023.3327915
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Robot Motion Planning Based on Improved RRT Algorithm and RBF Neural Network Sliding

Menglong Cao,
Xinjie Zhou,
Yunpeng Ju

Abstract: Aiming to address the limitations of the traditional rapidly-exploring random tree (RRT) algorithm in robotic arm path planning, such as high randomness, slow planning speed, non-smooth paths, and excessive corners, an improved RRT algorithm incorporating a target bias strategy and artificial potential field approach is proposed. Firstly, this algorithm employs a probabilistic sampling strategy to facilitate quicker growth of the tree structure towards the target point, thus accelerating the planning speed of … Show more

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Cited by 2 publications
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