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Frederick M Proctor (Assoc)

Frederick M. Proctor is the Group Leader of the Control Systems group at the U.S. National Institute of Standards and Technology in Gaithersburg, Maryland.

His research interests include real-time operating systems, digital control, motion control, and modeling and simulation. He also participates in standards activities for machine tools, robots, and coordinate measuring machines. He is the developer of the Enhanced Machine Controller, an open-source real-time Linux controller for machine tools and robots.

Selected Publications

Interoperability Testing for Shop Floor Measurement

Author(s)
Frederick M. Proctor, William G. Rippey, John A. Horst, Joseph Falco, Thomas Kramer
Manufactured parts are typically inspected to ensure quality. Inspection involves equipment and software from many different vendors, and interoperability is a

Feature-based Process Planning Based on STEP

Author(s)
Thomas R. Kramer, Frederick M. Proctor
This chapter begins by describing characteristics a process planning language should have. Then it discusses the extent to which four process planning languages

Publications

Agile Industrial Robots

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

Physics-based Simulation of Agile Robotic Systems

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

Enabling Robot Agility in Manufacturing Kitting Applications

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

Tolerances and Uncertainty in Robotic Systems

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
Created February 20, 2019, Updated January 7, 2025