Summary

This paper presents a method for predicting lunar soil shearing parameters using LS_SVM for UGVs. Experiments involved measuring sinkage, drawbar pull, and torque with a griddle and griddle. The paper presents a method for identifying terrain-shearing parameters for loose lunar soil using a multiple-output Least Squares Support Vector Machine (LS_SVM) model. The study involves constructing a soil bin testbed and a dataset for training the model. Experimental results show the model's effectiveness in predicting traction performance under various slip ratios. The work contributes to the field of planetary rover navigation by improving terrain parameter estimation for lunar exploration. The provided text appears to be a mix of metadata and content related to a research paper or document, likely involving topics such as terrain analysis, mechanical systems, and data processing. It includes references to figures, images, and technical details, suggesting it is part of an academic or technical publication. The provided text appears to be a series of URLs and file names associated with an academic or scientific paper, likely from a journal or repository. These URLs are structured in a spe

Methods and applications