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  • 王刚wanggang

  • 教授     硕士生导师     博士生导师
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教师拼音名称: wanggang

所在单位: 船舶工程学院

学历: 博士研究生毕业

性别: 男

学位: 工学博士学位

在职信息: 在职

毕业院校: 哈尔滨工程大学

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Advancements in amphibious robot navigation through wheeled odometer uncertainty extension and distributed information fusion

发布时间:2025-03-15
点击次数:

影响因子:
4.3
DOI码:
10.1016/j.robot.2024.104839
发表刊物:
Robotics and Autonomous Systems
刊物所在地:
NETHERLANDS
摘要:
The advancement and safeguarding of the water-land interface region is of paramount importance, and amphibious robots with the capacity for autonomous operation can play a pivotal role in this domain. However, the inability of the majority of reliable navigation sensors to adapt to the water-land interface environment presents a significant challenge for amphibious robots, as obtaining positional information is crucial for autonomous operation. To address this issue, we have proposed a positioning and navigation framework, designated as NAWR (Navigation Algorithm for Amphibious Wheeled Robots), with the objective of enhancing the navigation capabilities of amphibious robots. Firstly, a method for representing the odometer's confidence based on a simplified wheel-terrain interaction model has been developed. This method quantitatively assesses the reliability of each odometer by estimating the slip rate. Secondly, we have introduced an improved split covariance intersection filter (I-SCIF), which maximizes the utilization of navigation information sources to enhance the accuracy of positional estimation. Finally, we will integrate these two methods to form the NAWR framework and validate the effectiveness of the proposed methods through multiple robot field trials. The results from both field trials and ablation tests collectively demonstrate that the modules and overall approach within the NAWR framework effectively enhance the navigation capabilities of amphibious robots.
学科门类:
工学
卷号:
183()
ISSN号:
0921-8890
是否译文:
发表时间:
2025
发布期刊链接:
https://doi.org/10.1016/j.robot.2024.104839