Automatic programming of robot-mounted 3D optical scanning devices to easily measure parts in high-variant assembly

Reinhart, Gunther; Tekouo, W.

doi:10.1016/j.cirp.2009.03.125

Cited by 30 publications

(9 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The data could also be used to check gross distortion of components and to reject those outside the specification limits. Reinhart and Tekouo (2009) proposed a system for automated programming of robot‐mounted optical scanning devices and algorithms to automatically extract measurement features and generate collision‐free robot scanning paths from CAD models.…”

Section: Discussionmentioning

confidence: 99%

Case‐based automatic programming in robotic assembly production

Wang

Tian²,

Sawaragi³

2011

Industrial Robot: An International Journal

View full text Add to dashboard Cite

PurposeThe purpose of this paper is to present a case‐based system for offline automatic programming in robotic assembly production. This system can reuse past learned robot programs to generate programs for new assembly tasks.Design/methodology/approachThe approach used in this paper is case‐based reasoning. The assembly knowledge acquired from the robot program for an assembly task is retained in a case, which is composed of the primitive task description and the corresponding robot program schema. The retained cases are retrieved by matching features of their primitive task descriptions, and are reused to automatically program for new tasks by instantiating their robot program schemata.FindingsA case not only can be reused as a whole, but also can be reused partly by synthesizing different parts of several cases to generate a program for a new task in a variant environment.Practical implicationsThe teaching time of robots can be greatly reduced. This helps to introduce robots into small and medium enterprises.Originality/valueThis paper proposes a novel system that can automatically program for assembly tasks in various environments by flexibly reusing past robot programs.

show abstract

Section: Discussionmentioning

confidence: 99%

Case‐based automatic programming in robotic assembly production

Wang

Tian²,

Sawaragi³

2011

Industrial Robot: An International Journal

View full text Add to dashboard Cite

show abstract

“…The MATALB ® toolbox described in here enables flexible trajectory planning for the non-destructive testing of surfaces often found in engineering production. The 3D vision is one of key perception techniques used in industrial robotics to locate, inspect and process objects [10]. Such applications include 2D and 3D sensors.…”

Section: Related Work 3d Robotic Vision and Force Controlmentioning

confidence: 99%

Autonomous rolling-stock coupler inspection using industrial robots

Vithanage

Harrison

Silva

2019

Robotics and Computer-Integrated Manufacturing

View full text Add to dashboard Cite

In railway rolling-stock maintenance, where the environment is highly unstructured and unpredictable, the detection and localization of smaller components is difficult and remains a key challenge in introducing autonomous systems. This paper presents the design and evaluation of a system, which allows industrial robots to inspect the electric head of railway couplers. The system developed comprising multiple sensors and active-compliant end of arm tooling, is robust to noise and ambiguities. Successful validation of the system is achieved using both an actual coupler in its working environment and an experimental setup that includes a commercial grade industrial robot and a mock coupler.

show abstract

“…[ 50 51 52 ] Industrial manufacturing utilizes 3D scanning for quality assurance and inspection. [ 50 53 54 ] 3D scanning has also been a major part of the visual effects and gaming industry for over 20 years. [ 55 ] In the medical field, 3D scanners are also used for several reasons, including the modeling of intricate anatomical structures, planning of complex surgical procedures, custom fabrication of medical devices, and the diagnosis of rare medical conditions.…”

Section: P Ractical a Pplicationsmentioning

confidence: 99%

Three-dimensional Imaging and Scanning: Current and Future Applications for Pathology

Farahani

Braun

Jutt

et al. 2017

Journal of Pathology Informatics

View full text Add to dashboard Cite

Imaging is vital for the assessment of physiologic and phenotypic details. In the past, biomedical imaging was heavily reliant on analog, low-throughput methods, which would produce two-dimensional images. However, newer, digital, and high-throughput three-dimensional (3D) imaging methods, which rely on computer vision and computer graphics, are transforming the way biomedical professionals practice. 3D imaging has been useful in diagnostic, prognostic, and therapeutic decision-making for the medical and biomedical professions. Herein, we summarize current imaging methods that enable optimal 3D histopathologic reconstruction: Scanning, 3D scanning, and whole slide imaging. Briefly mentioned are emerging platforms, which combine robotics, sectioning, and imaging in their pursuit to digitize and automate the entire microscopy workflow. Finally, both current and emerging 3D imaging methods are discussed in relation to current and future applications within the context of pathology.

show abstract

Automatic programming of robot-mounted 3D optical scanning devices to easily measure parts in high-variant assembly

Cited by 30 publications

References 7 publications

Case‐based automatic programming in robotic assembly production

Case‐based automatic programming in robotic assembly production

Autonomous rolling-stock coupler inspection using industrial robots

Three-dimensional Imaging and Scanning: Current and Future Applications for Pathology

Contact Info

Product

Resources

About