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Reconstructing 3-D Graphical Model Using an Under-Constrained Cable-Driven Parallel Robot

Soroush Zare, Mohammad Ghanatian, Mohammad Reza Hairi Yazdi, Mehdi Tale Masouleh

Year
2020
Citations
6

Abstract

In this paper, a novel application of an under-constrained cable-driven parallel robot is introduced. By this application, the 3D model of any object with any size limited to the workspace of the robot can be reconstructed, which is a definite asset for creating the 3D model in such an easy and cost-efficient way despite other methods like a laser scanner. The most significant problem of an under-constrained cable-driven robot is the orientations of the end-effector which cannot be controlled regardless of its position, i.e., the orientation and position of the end-effector are not independent. In this paper, the foregoing problem was solved by using a stabilizer to capture a video in prescribed orientations. The results demonstrate that the end-effector can be controlled with high precision by a PID controller to reconstruct the 3D model of an object based on the captured videos of a camera which is mounted on the end-effector of the robot. In this paper, the object is a social robot called Sanbot that has a shiny surface, which decreases the 3D model reconstruction precision. However, the results reveal that the 3D model of the Sanbot robot has a very clear view, and the experimental results confirm the efficiency of the proposed method. This method provides an easy way to reconstruct the 3D model of an object which cannot be reconstructed by other methods.

Keywords

Robot end effectorWorkspaceRobotComputer visionComputer sciencePosition (finance)Object (grammar)Artificial intelligenceController (irrigation)Orientation (vector space)

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