Abstract: This paper presents an improved Rapidly-exploring Random Tree (RRT) algorithm for crane path planning in construction environments. Traditional RRT algorithms often generate suboptimal paths ...
The final, formatted version of the article will be published soon. In the context of sustainable agriculture and precision agriculture, autonomous mobile robots play a pivotal role in intelligent ...
This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...
Abstract: To address the issues of low sampling efficiency, numerous redundant nodes, and high randomness in planning paths with the RRT algorithm, especially in low-altitude complex environments, an ...
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