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Search Publications by: Frederick M Proctor (Assoc)

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Displaying 1 - 25 of 112

Agile Industrial Robots

January 24, 2022
Author(s)
Craig I. Schlenoff, William P. Shackleford, Zeid Kootbally, Brian Antonishek, Frederick M. Proctor, Thomas Kramer, William Harrison, Anthony Downs
In this chapter, we explore existing robot agility research efforts, while focusing on key technologies that help to enable agility, such as the ones mentioned in the preceding paragraphs. In particular, we will look at perception, knowledge representation

Physics-based Simulation of Agile Robotic Systems

November 14, 2019
Author(s)
Pavlo Piliptchak, Murat Aksu, Frederick M. Proctor, John L. Michaloski
Development and testing of industrial robot environments is hampered by the limited availability of hardware resources. Simulations provide a more accessible and readily modifiable alternative to physical testing, but also require careful design to ensure

VIRTUAL EXPERIMENTAL INVESTIGATION FOR INDUSTRIAL ROBOTICS IN GAZEBO ENVIRONMENT

November 14, 2018
Author(s)
Murat Aksu, John L. Michaloski, Frederick M. Proctor
Measuring the agility performance of the industrial robots as they are performing in unstructured and dynamic environments is a thought-provoking research topic. This paper investigates the development of industrial robotic simulation algorithms for the

Enabling Robot Agility in Manufacturing Kitting Applications

March 14, 2018
Author(s)
Zeid Kootbally, Craig I. Schlenoff, Brian Antonishek, Frederick M. Proctor, Thomas Kramer, William Harrison, Satyandra K. Gupta
For the most part, robots perform best in highly structured environments, where objects are in well-known, predictable loca-tions. Another way to describe this is that robots are not considered agile. But, in order for them to be useful to small manu

Tolerances and Uncertainty in Robotic Systems

November 8, 2017
Author(s)
Frederick M. Proctor, John L. Michaloski, Marek Franaszek
The ability to be programmed for a wide range of tasks is what differentiates robots from dedicated automation. Consequently, robots can be faced with often-changing requirements and conditions. Conventional application development based on teach

Development of a Real-Time Control System Architecture for Automated Steel Construction

February 19, 2017
Author(s)
Kamel S. Saidi, Robert W. Bunch, Alan M. Lytle, Frederick M. Proctor
The National Institute of Standards and Technology (NIST) is developing a real-time control system for a robotic crane (the NIST RoboCrane) that will perform automated structural steel pick-and-place operations. The control system architecture is based on

The Canonical Robot Command Language (CRCL)

August 1, 2016
Author(s)
Frederick M. Proctor, Stephen B. Balakirsky, Zeid Kootbally, Thomas R. Kramer, Craig I. Schlenoff, William P. Shackleford
Industrial robots can perform motion with sub-millimeter repeatability when programmed using the teach-and-playback method. While effective, this method requires significant up-front time, tying up the robot and a person during the teaching phase. Off-line

Automating Asset Knowledge with MTConnect

June 27, 2016
Author(s)
John L. Michaloski, Frederick M. Proctor, Sid Venkatesh, Sidney Ly, Martin Manning
In order to maximize assets, manufacturers should use real-time knowledge garnered from ongoing and continuous collection and evaluation of factory-floor machine status data. In discrete parts manufacturing, factory machine monitoring has been difficult

Automating Robot Planning using Product and Manufacturing Information

May 9, 2016
Author(s)
Frederick M. Proctor, Gijs van der Hoorn, Robert R. Lipman
Advances in sensing, modeling, and control have made it possible to increase the accuracy of robots, and enable them to perform in dynamic environments. Often, performance deficiencies are not evident until late in the development of the manufacturing

Measuring and Representing the Performance of Manufacturing Assembly Robots

December 10, 2015
Author(s)
Michael O. Shneier, Elena R. Messina, Craig I. Schlenoff, Frederick M. Proctor, Thomas Kramer, Joseph Falco
With the growth of robotic technology, there is a need for performance measures to characterize and compare robots and to help determine which features are most suited to a particular application. Robot systems are complex and involve a wide range of

Software-defined Radio Based Measurement Platform for Wireless Networks

October 15, 2015
Author(s)
I-Chun Chao, Kang B. Lee, Rick Candell, Frederick M. Proctor, Chien-Chung Shen
There has been a dramatic push to adopting wireless networking technologies and protocols (such as 802.11, ZigBee, WirelessHART, Bluetooth, ISA100.11a, etc.) into time-critical networks. End-to-end latency is critical to many distributed applications and

Testing System of IEEE 1451.5-802.11 Standard-based Wireless Sensors

July 21, 2014
Author(s)
Kang B. Lee, Yuyin Song, Frederick M. Proctor
The hierarchical architecture of factory equipment networks consists of the factory level, cell level, and device level. The equipment at different levels of the factory networks may employ different network communication protocols. The challenges that

Precise Latency Measurement of Unidirectional-Data-Flow Network Equipment

May 14, 2014
Author(s)
I-Chun Chao, Kang B. Lee, Frederick M. Proctor, Chien-Chung Shen, Fan-Ren Chang
In regards to network performance measurements, many timing indices, such as latency, jitter, and one-way delay (OWD), are getting more attention because real-time applications and needs are pushing higher network capabilities. Data latency in a network

Toward the Ideal of Automating Production Optimization

November 15, 2013
Author(s)
John L. Michaloski, Frederick M. Proctor, Jorge Arinez, Jonatan Berglund
The advent of improved factory data collection offers a prime opportunity to continuously study and optimize factory operations. Although manufacturing optimization tools can be considered mainstream technology, most U.S. manufacturers do not take full

Model Based Enterprise Summit Report

November 4, 2013
Author(s)
Joshua Lubell, Simon P. Frechette, Robert R. Lipman, Frederick M. Proctor, John A. Horst, Mark G. Carlisle, Paul J. Huang
This report summarizes the presentations, discussions, and recommendations from the Model-Based Enterprise Summit held at the National Institute of Standards and Technology in December of 2012. The purpose of the Summit was to identify challenges, research

Toward Better Integration of Vehicle Assembly Production Systems

November 15, 2012
Author(s)
Jorge Arinez, John L. Michaloski, Frederick M. Proctor, William G. Rippey, C J. Yen
In today's manufacturing world, system integration often necessitates composing systems of technology that are not designed to interoperate with each other. This inherent incompatibility results in redundant, non-value added work that is required for

Factory Equipment Network Testing Framework: Concept, Requirements, and Architecture

September 17, 2012
Author(s)
James D. Gilsinn, Kang B. Lee, John L. Michaloski, Frederick M. Proctor, Yuyin Song
This document describes the purpose, concept, requirements, and architecture for the Factory Equipment Network Testing (FENT) Framework and the software to test equipment on real-time factory networks. Other documents contain more detailed information

Web-enabled Real-time Quality Feedback for Factory Systems using MTConnect

August 15, 2012
Author(s)
John L. Michaloski, Byeong Eon Lee, Frederick M. Proctor, Sid Venkatesh
Quality is a key element to success for any manufacturer, and the fundamental prerequisite for quality is measurement. In the discrete parts industry, quality is attained through inspection of parts but typically there is a long latency between machining

An Integrated Data Model for Quality Information Exchange in Manufacturing Systems

July 27, 2012
Author(s)
William G. Rippey, Yaoyao F. Zhao, Thomas R. Kramer, John A. Horst, Frederick M. Proctor
Quality measurement is an integrated part of modern manufacturing systems. As the manufacturing industry has entered a digital and virtual era, information technology has become increasingly important for both machining and measurement systems. Effective

Enabling Machining Vision Using STEP-NC

June 8, 2012
Author(s)
Martin Hardwick, Frederick M. Proctor, David Loffredo, Sid Venkatesh
STEP-NC is a new data format for manufacturing control. One of its applications is to enable integrated on machine measurement of machining processes using vision systems and other sensors. In this paper we describe the manufacturing process and

A Roadmap for STEP-NC Enabled Interoperable Manufacturing

June 17, 2011
Author(s)
Fiona Zhao, Frederick M. Proctor, Martin Hardwick, Sid Venkatesh, David Odendahl, Xun Xu
STEP-NC is the result of a ten-year international effort to replace the RS274D (ISO 6983) G and M code standard with a modern associative language. The new standard connects CAD design data to CAM process data so that smart applications can understand both

Merging Machining and Measurement for Cognitive Manufacturing

March 8, 2011
Author(s)
Fiona Zhao, Frederick M. Proctor, John A. Horst, Xun W. Xu
Machining process planning and measurement process planning have long received research attention from industry and academia. Machining and measurement process automation is well established for mass production in today's manufacturing systems. However
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