In modern intelligent manufacturing, it is the most important task for mobile robot to transfer automatically the button weight in the surrounding environment, which has a special shape and surface conditions. In this paper, a button weight handling robot, integrated with a laser scanner and 3-dregree of freedom of arm, was first presented to automatically transfer balance weight without human operation. A fast spatial positioning method was developed to control step by step robot arm to grab the critical area of button wright. Moreover, an automatic controlling algorithm was designed to plan the moving trajectory in 3D virtual environment. Finally, a series of experiments on typical button weights were carried out to demonstrate this automated controlling technique. 3-degree of freedom pose positioning for typical profile of button weight was also discussed. Those results have been proven to be amenable for practical purposes through many tests so that it might be applicable to achieve intelligent grabbing of different weights.
In modern intelligent living, the weight and shape size of a button weight are ones of the crucial fundamental quantities to ensure their conformity to design specifications serving a range of monitoring and management, from flight-weight, expressway inspection, and market transaction to house applications. In this paper, an intelligent mobile robot for transferring button weight was developed based on a low-cost active 3D triangulation laser scanner. An automatic scanning path planning algorithm of 3D profile contour of button weight was proposed. 3Dgeometricdimensions of button body was also described by identifying the marking graphics. Finally, a series of experiments of several typical button weights have been performed to demonstrate this automated path planning technique and the final Intelligence level. Moreover, an commercial 3D intelligent mobile robot was also introduced, which has two degrees of laser scanner and robotic arm. Those scanning paths generation have been proven to be amenable for practical purposes through many tests so that it might be applicable to achieve transferring button weight in a practical working environment.
KEYWORDS: 3D metrology, Optical imaging, Metrology, Imaging systems, 3D image processing, Inspection, Transportation, Signal processing, Manufacturing, Detection and tracking algorithms
In modern intelligent transportation, the weight and shape size of vehicle wheel are ones of the crucial fundamental quantities to ensure their conformity to design specifications serving a range of monitoring and management, from expressway inspection, and ship transportation to house applications. In this paper, an intelligent high-speed 3D geometric measuring system of vehicle wheel was developed based on optical imaging technologies. An automatic contour recognition algorithm of vehicle wheel was proposed. 3D geometric dimensional of wheel was described by a series of critical feature points in a virtual environment. At last, a series of experiments of several typical vehicle wheels have been performed to demonstrate this geometric measuring system and the final Intelligence level. This measuring system have been proven to be amenable for practical purposes through many tests so that it might be applicable to achieve vehicle wheels in a practical working environment.
In modern intelligent scenarios, such as highway and ship, it is the most crucial to on-line measure the weight of vehicle by a fast and efficient way. Considering the varying body sizes of vehicles, ranging from a few meters to ten meters, it is needed to establish the relationships between the vehicle weight and the different shapes of vehicle wheel. In this paper, an on-line weight traceability measuring system of vehicle was developed by based on image sensing fusion technologies. We design some datum points to determine the geometric relationships between four optical sensors too, which located in different orientations. Finally, a series of experiments on conventional vehicle were carried out to demonstrate the weight measurements by considered of practical applications. The influence factors of weight measurement errors were also been discussed. Those results have been proven to be amenable for practical purposes through many tests so that it might be applicable to achieve intelligent weight measurements in highway toll station. Key words: weight; traceability; vehicle; optical imaging.
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