What is it about?

To address the issue of target detection in the planar grasping task, a position and attitude estimation method based on YOLO-Pose is proposed. The aim is to detect the three-dimensional position of the spacecraft's center point and the planar two-dimensional attitude in real time.

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Why is it important?

Autonomous grasping by robot arms is an important application area within the field of robot technology. In this context, camera–based target recognition and pose estimation technology play a crucial role as fundamental steps in facilitating robot arm grasping. This study aims to minimize the influence of 3D model quality on algorithm accuracy, while improving pose estimation accuracy and maintaining real-time performance.


I am very happy to be able to complete this article. The algorithm used in this article was used in one of my scientific research projects and successfully completed the required functions of the project.

Cheng Huang

Read the Original

This page is a summary of: Object pose estimation method for robotic arm grasping, Journal of Intelligent & Fuzzy Systems, April 2024, IOS Press,
DOI: 10.3233/jifs-234351.
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