Robotics & Machine Learning Daily News2024,Issue(Sep.9) :117-118.

Studies from Shandong University in the Area of Robotics Published (DSIL4IMR: A dual step-based initial localization method for industrial mobile robot)

Robotics & Machine Learning Daily News2024,Issue(Sep.9) :117-118.

Studies from Shandong University in the Area of Robotics Published (DSIL4IMR: A dual step-based initial localization method for industrial mobile robot)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on robotics have been published. According to news reporting out of Shandong University by NewsR x editors, research stated, “This paper introduces a dual-step based initial loc alization method for industrial mobile robots (DSIL4IMR) that operates without u ser intervention at start-up.” Our news editors obtained a quote from the research from Shandong University: “U tilizing a differential chassis equipped with a radar sensor, the method combine s feature extraction and spatial information matching steps to locate the robot’ s initial position. A unique metric, degree of stability, is developed to identi fy a feature map whether it is a dynamic or erroneous feature. DSIL4IMR does not require artificial landmarks and outperforms existing WiFi fingerprinting and m ap filter methods in both accuracy and efficiency.”

Key words

Shandong University/Emerging Technologi es/Machine Learning/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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