3D Assembly Group Analysis for Cognitive Automation
Author(s) -
Christian Brecher,
Thomas Breitbach,
Simon Müller,
Marcel Ph. Mayer,
Barbara Odenthal,
Christopher Schlick,
Werner Herfs
Publication year - 2012
Publication title -
journal of robotics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.303
H-Index - 14
eISSN - 1687-9619
pISSN - 1687-9600
DOI - 10.1155/2012/375642
Subject(s) - computer science , automation , software , component (thermodynamics) , software engineering , robot , process (computing) , human–computer interaction , key (lock) , artificial intelligence , operating system , mechanical engineering , physics , engineering , thermodynamics
A concept that allows the cognitive automation of robotic assembly processes is introduced. An assembly cell comprised of two robots was designed to verify the concept. For the purpose of validation a customer-defined part group consisting of Hubelino bricks is assembled. One of the key aspects for this process is the verification of the assembly group. Hence a software component was designed that utilizes the Microsoft Kinect to perceive both depth and color data in the assembly area. This information is used to determine the current state of the assembly group and is compared to a CAD model for validation purposes. In order to efficiently resolve erroneous situations, the results are interactively accessible to a human expert. The implications for an industrial application are demonstrated by transferring the developed concepts to an assembly scenario for switch-cabinet systems
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