J. Norberto Pires (blog)
J. Norberto Pires
(General to Advanced Audience)
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Force/Torque Sensing Applied to
Industrial Robotic Deburring
J. Norberto Pires, John Ramming, Stephen Rauch,
Ricardo Araújo,
Mechanical Engineering Department,
University of Coimbra,
JR3, Inc. & IDITE-Minho
(Advanced to Technical Audience)
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INTEGRATING HETEROGENEOUS ROBOT AND SOFTWARE COMPONENTS BY AGENT TECHNOLOGY
Winfried Baum, Ansgar Bredenfeld, Matthias Hans, Joachim Hertzberg, Arno Ritter,
Frank Schönherr, Thomas Christaller,
Rolf Dieter Schraft,
Fraunhofer Institute for Manufacturing
Engineering and Automation (IPA) & Fraunhofer
Institute for Autonomous Intelligent Systems (AIS)
(Advanced Audience)
(Adobe PDF file)
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Robot-by-voice: Experiments on commanding an
industrial robot using the human voice
J. Norberto Pires, Industrial Robot:
An International Journal,
Volume 32, Number 6,
Emerald Group Publishing Limited
[ 2005 ] (Advanced Audience)
(Adobe PDF file)
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CAD interface for automatic robot welding programming
J. Norberto Pires, T. Godinho & P. Ferreira,
Industrial Robot:
An International Journal,
Volume 31, Number 1,
Emerald Group Publishing Limited
[ 2004 ]
(General to Advanced Audience)
(Adobe PDF file)
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Intelligent Control of Modular Robotic Welding Cell
Herschel B. Smartt, Kevin L. Kenney & Charles R. Tolle,
Idaho National Engineering and Environmental Laboratory,
presented at the 6th International
Conference on
Trends in Welding Research
[ 15-19 April 2002 ]
(General to Technical Audience)
(Adobe PDF file)
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Using Matlab to Interface Industrial Robotic & Automation Equipment
J. Norberto Pires,
Mechanical Engineering Department,
University of Coimbra
[ November 1999 ]
(Advanced to Technical Audience)
(Adobe PDF file)
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Manipulation Control with Dynamic Tactile Sensing
Mark R. Cutkosky and James M. Hyde,
Center for Design Research, Stanford University
[ 2-5 October 1993 ]
(Advanced to Technical Audience)
(Adobe PDF file)
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Today’s manufacturing setups rely increasingly on technology. It is common to have all
sources of equipment on the shop floor, commanded by industrial PCs or
PLCs connected by an industrial network to other factory resources. Also,
production systems are becoming more and more autonomous, requiring
less operator intervention in everyday normal operation. This requires
use of computers for control and supervision of production systems,
industrial networks and distributed software architectures. It also
requires design of application software that is distributed on the shop
floor, taking advantage of the flexibility provided by using
programmable equipment. Consequently, there is an extensive mixture of
human and machine labour in actual manufacturing systems. That
situation, while desirable because agility is a key issue for productivity
and efficiency of actual companies, poses some difficulties to efficient
cooperation between humans and machines. Human-machine interfaces
(HMI) are consequently very important in taking advantage of the
flexibility and capabilities of installed production machines in
cooperation with their human operators.
The industrial production of many products poses numerous problems for industrial automation,
especially if robots are to be used. Basically, these problems arise
as a result of the characteristics of the production pieces, e.g.,
non-flat objects with high reflective surfaces, those very difficult to
grasp and handle due to external configuration, heavy or fragile objects,
pieces with extensive surfaces sensitive to damage, pieces with high
demand for surface smoothness quality, etc. Additionally, production
setups for these types of products require high quality and low
cycle times, since large scale industries must maintain high production
rates to remain competitive. Another restriction relates to the
fact that most industries change products frequently due to fashion
tendencies, competition, etc. Lastly, there is the already
mentioned mixture of automatic and human labour production, which
poses a difficult problem since HMI are very demanding and a key issue
in modern industrial automation systems.
Robotics and industrial software are the keys to solving these problems.
Authored by
J.
Norberto Pires, Mechanical Engineering Department, University of
Coimbra, Portugal.
Original article published 19 August
2005. Used with permission.
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