NDLI: Robot Vision Methodology for Assembly Manufacturing Tasks

Content Provider	IEEE Xplore Digital Library
Author	Lopez, I. Lopez, J.I. Osorio, R.
Copyright Year	2007
Description	Author affiliation: Univ. Nacional Autonoma de Mexico, Mexico City (Lopez, I.)
Abstract	It will be highly convenient to have a general-conceptual-method to acquire, compress and store information coming from robot vision systems within manufacturing applications. Such a methodology will try to emulate the human action of human vision in a general-conceptual way the manufacturing workers performs their assembly, sorting or part moving actions within a manufacturing production line. General-conceptual actions of workers includes: primary recognition of objects and working area, training and skill mastering of procedures and tool management. The acquisition of assembly skills by manufacturing robots today , is greatly supported by the effective use of contact force sensing and object recognition vision system, but the performance of industrial robots working in unstructured environments can be improved using such a methodology including visual perception and learning techniques. In this sense, the described object recognition technique in this paper, is accomplished using an artificial neural network (ANN) architecture which receives a descriptive vector called CFD&POSE as the input. This vector represents an innovative methodology for classification and identification of pieces in robotic tasks. The vector compresses 3D object data from assembly parts and it is invariant to scale, rotation and orientation, and it also supports a wide range of illumination levels. The CFD&POSE approach (Mario, 2006) in combination with the fast learning capability of ART networks has been tested and implemented to come as a general- conceptual method for artificial vision which indicates the suitability for industrial robot vision manufacturing tasks applications, this methodology which integrates acquisition, data compression, data storing and object reconstruction potentials, has been called ACSR-Vision Module by the authors, in this paper, an integrated module like this is showed and its potential use in manufacturing applications is demonstrated through experimental results.
Starting Page	289
Ending Page	294
File Size	562006
Page Count	6
File Format	PDF
ISBN	9780769529745
DOI	10.1109/CERMA.2007.4367701
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-25
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robotic assembly Manufacturing industries Service robots Robot vision systems Humans Artificial neural networks Pulp manufacturing Robot sensing systems Object recognition Management training
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Invariant Object Recognition Robot Vision System for Assembly

Learning of Robotic Assembly based on Specially Adjustable Vibrations Parameters

Real Time Object Recognition Methodology

Toward programming of assembly tasks by demonstration in virtual environments

Intelligent shape recognition for complex industrial tasks

Improving robotic assembly performance through autonomous exploration

Robust Assembly of Complex Shaped Planar Parts Using Vision and Force

Control Algorithm for Precision Insert Operation Robots

MMS and interprocess communication for multiple robot assembly system

Robot Vision Methodology for Assembly Manufacturing Tasks

Similar Documents

Invariant Object Recognition Robot Vision System for Assembly

Learning of Robotic Assembly based on Specially Adjustable Vibrations Parameters

Real Time Object Recognition Methodology

Toward programming of assembly tasks by demonstration in virtual environments

Intelligent shape recognition for complex industrial tasks

Improving robotic assembly performance through autonomous exploration

Robust Assembly of Complex Shaped Planar Parts Using Vision and Force

Control Algorithm for Precision Insert Operation Robots

MMS and interprocess communication for multiple robot assembly system

Robot Vision Methodology for Assembly Manufacturing Tasks