Abstract
The objective of this article aims at the safety problems where robots and operators are highly coupled in a working space. A method to model an articulated robot manipulator by cylindrical geometries based on partial cloud points is proposed in this article. Firstly, images with point cloud data containing the posture of a robot with five resolution links are captured by a pair of RGB-D cameras. Secondly, the process of point cloud clustering and Gaussian noise filtering is applied to the images to separate the point cloud data of three links from the combined images. Thirdly, an ideal cylindrical model fits the processed point cloud data are segmented by the random sample consensus method such that three joint angles corresponding to three major links are computed. The original method for calculating the normal vector of point cloud data is the cylindrical model segmentation method, but the accuracy of posture measurement is low when the point cloud data is incomplete. To solve this problem, a principal axis compensation method is proposed, which is not affected by number of point cloud cluster data. The original method and the proposed method are used to estimate the three joint angular of the manipulator system in experiments. Experimental results show that the average error is reduced by 27.97%, and the sample standard deviation of the error is reduced by 54.21% compared with the original method for posture measurement. The proposed method is 0.971 piece/s slower than the original method in terms of the image processing velocity. But the proposed method is still feasible, and the purpose of posture measurement is achieved.
Highlights
With the development of science and technology, the types and applications of robots are becoming more and more diversified which are competent for complex tasks
Aiming at the safety problems where robots and operators are highly coupled in a working space, this article proposes a posture measurement approach for an articulated manipulator
Aiming at the safety problems where robots and operators are highly coupled in a working space, a posture measurement approach for an articulated manipulator is proposed in this article
Summary
With the development of science and technology, the types and applications of robots are becoming more and more diversified which are competent for complex tasks. Robot arms barely sense hazardous conditions around and respond to, for example, when there are people or obstacles approaching. This may affect the use of robot arms and cause safety problems when people work.[1,2,3] this article proposes a method of posture measurement by RGB-D cameras as sensory devices for articulated manipulators.
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