System Design of Crane Robot Based on Binocular Stereo Vision

Abstract:

In order to improve the safety, high efficiency and stability in the process of the crane hoisting, this paper applied binocular stereo vision technology which has developed into a rather mature stage recently. Binocular stereo vision system could efficiently identify and accurately position various targets, so that it could decrease the crane driver’s working intensity, reduce security risks and improve the production efficiency. In order to experiments was convenient, developing the crane robot system could simulate the processes of crane work, establishing the relevant system structure model for the motion. According to the three-dimensional measuring principle of binocular stereo vision, this paper is proposed to identify and position for the targets, and experimental results show the error is ±10mm.

• Periodical: Applied Mechanics and Materials (Volumes 303-306)
• Pages: 1691-1694
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.303-306.1691
• Online since: February 2013
• Authors: Zhi Kun Chen, Hong Yan Wang, Wen Hui Wang, Fu Bin Wang
• Keywords: Crane Robot, Error Analysis, Recognition and Location, Stereo Vision

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