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Automation 2023 = key challenges in ...

Szewczyk, Roman.

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Automation 2023 = key challenges in automation, robotics and measurement techniques /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Automation 2023/ edited by Roman Szewczyk ... [et al.].
Reminder of title:	key challenges in automation, robotics and measurement techniques /
other author:	Szewczyk, Roman.
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	xii, 242 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Automation. -
Online resource:	https://doi.org/10.1007/978-3-031-25844-2
ISBN:	9783031258442

Automation 2023 = key challenges in automation, robotics and measurement techniques /
Automation 2023key challenges in automation, robotics and measurement techniques /[electronic resource] :edited by Roman Szewczyk ... [et al.]. - Cham :Springer Nature Switzerland :2023. - xii, 242 p. :ill. (chiefly col.), digital ;24 cm. - Lecture notes in networks and systems,v. 6302367-3389 ;. - Lecture notes in networks and systems ;v. 630..

This volume presents the results of recent research, which supports the postulated transformation. It contains papers written by both scientists and engineers dealing with diverse aspects of: measuring techniques, robotics, mechatronics systems, control, industrial automation, numerical modelling and simulation as well as application of artificial intelligence techniques required by the transformation of the industry towards the Industry 4.0. We strongly believe that the solutions and guidelines presented in this volume will be useful for both researchers and engineers solving problems that have emerged during the recent crisis.

ISBN: 9783031258442

Standard No.: 10.1007/978-3-031-25844-2doiSubjects--Topical Terms:

633305
Automation.

LC Class. No.: T59.5 / .A87 2023

Dewey Class. No.: 629.8

Automation 2023 = key challenges in automation, robotics and measurement techniques /
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520 $a This volume presents the results of recent research, which supports the postulated transformation. It contains papers written by both scientists and engineers dealing with diverse aspects of: measuring techniques, robotics, mechatronics systems, control, industrial automation, numerical modelling and simulation as well as application of artificial intelligence techniques required by the transformation of the industry towards the Industry 4.0. We strongly believe that the solutions and guidelines presented in this volume will be useful for both researchers and engineers solving problems that have emerged during the recent crisis.
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