53.Robotics and Automation by John G. Webster (Editor) PDF

By John G. Webster (Editor)

Show description

Read or Download 53.Robotics and Automation PDF

Best robotics & automation books

Intelligent Autonomous Systems 7 - download pdf or read online

The objective of the seventh foreign convention on clever self reliant structures (IAS-7) is to interchange and stimulate learn rules that make destiny robots and structures extra clever and self reliant. This convention emphasizes that intelligence may still and will top be illustrated via structures which can at once experience and act of their personal setting with no not easy specific supervision from people.

Get Automation in Warehouse Development PDF

The warehouses of the long run will are available in various kinds, yet with a number of universal components. to begin with, human operational dealing with of things in warehouses is more and more being changed through computerized merchandise dealing with. prolonged warehouse automation counteracts the shortage of human operators and helps the standard of making a choice on strategies.

Download e-book for iPad: Mobile Roboter: Eine Einfuhrung aus Sicht der Informatik by Joachim Hertzberg, Kai Lingemann, Andreas Nüchter

Wo bin ich? Wo soll ich hin? Wie komme ich dahin? cellular Roboter in Alltagsumgebungen wie in Büros oder auf Straßen müssen ständig solche Fragen beantworten, sollen sie autonom, additionally ohne Fernsteuerung operieren. Die Berechnungen im Robotersteuerungsprogramm beruhen wesentlich auf Sensordaten aus der Umgebung, die oft unvollständig oder fehlerhaft sind.

Additional resources for 53.Robotics and Automation

Sample text

Thus, the mean, quartile, and decile intensities can be derived easily from H(p), as can the standard deviation of the intensities. Histogram equalization is an important process for enhancing the contrast of an image. It is based on an intensity-mapping function derived by a simple linear rescaling of H(p). The intensity histogram of the image derived by applying the 670 MACHINE VISION FOR ROBOTICS AND INSPECTION mapping function H(p)/mn to the image from which H(p) was derived is very nearly flat.

I, j) > 1] 0 otherwise Count White Neighbors c(i, j) ⇐ #[a(i, j) = 1] In this instance, #(Z) is the number of times that the logical variable Z is true. Notice that ͕c(i, j)͖ is a gray-scale image. Connectivity Detector. Consider the following pattern: 1 0 1 1 X 1 1 0 1 If X ϭ 1, then all of the 1’s are 8-connected. Alternatively, if X ϭ 0, then they are not connected. In this sense, the point marked X is critical for connectivity and is therefore assigned the value 1 in the output image. This is also the case in the following examples: c(i, j) ⇐ NOT[a(i, j)] AND c(i, j) ⇐ a(i, j) · b(i, j) OR c(i, j) a(i, j) + b(i, j) Exclusive OR c(i, j) ⇐ a(i, j) ⊕ b(i, j) 1 0 0 1 1 0 0 0 1 0 X 1 0 X 0 1 X 0 0 0 0 0 0 1 1 0 1 However, those points marked X below are not critical for connectivity, since setting X ϭ 0 rather than 1 has no effect on the 8-connectivity of the 1’s.

Although robots are used in processes other than these three, a careful task analysis reveals that many of them consist of a series of the two previously mentioned task elements. There is only a minor difference in the overall task objectives, such as in heavy-load lifting or painting. These three processes are widely used because the tasks performed are suitable for a robot and because developing task-dependent robots dedicated to a specific task is too costly, resulting in increased employment of general-purpose robots.

Download PDF sample

53.Robotics and Automation by John G. Webster (Editor)

by George

Rated 4.98 of 5 – based on 18 votes