1.

Record Nr.

UNINA9910299702303321

Titolo

Machine Vision and Mechatronics in Practice / / edited by John Billingsley, Peter Brett

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015

ISBN

3-662-45514-5

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (343 p.)

Disciplina

006.3

006.37

006.6

620

Soggetti

Control engineering

Robotics

Mechatronics

Optical data processing

Signal processing

Image processing

Speech processing systems

Artificial intelligence

Control, Robotics, Mechatronics

Image Processing and Computer Vision

Signal, Image and Speech Processing

Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references at the end of each chapters and index.

Nota di contenuto

Mining -- Surgery -- Quadrucopters -- Manipulators -- Mobile applications -- Sensing and control -- Education -- Manufacturing -- Other.

Sommario/riassunto

The contributions for this book have been gathered over several years from conferences held in the series of Mechatronics and Machine Vision in Practice, the latest of which was held in Ankara, Turkey. The



essential aspect is that they concern practical applications rather than the derivation of mere theory, though simulations and visualization are important components. The topics range from mining, with its heavy engineering, to the delicate machining of holes in the human skull or robots for surgery on human flesh. Mobile robots continue to be a hot topic, both from the need for navigation and for the task of stabilization of unmanned aerial vehicles. The swinging of a spray rig is damped, while machine vision is used for the control of heating in an asphalt-laying machine.  Manipulators are featured, both for general tasks and in the form of grasping fingers. A robot arm is proposed for adding to the mobility scooter of the elderly. Can EEG signals be a means to control a robot? Can face recognition be achieved in varying illumination?"  .