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Search Publications by: Craig I. Schlenoff (Fed)

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Displaying 51 - 75 of 300

Towards a Robot Task Ontology Standard

June 8, 2017
Author(s)
Stephen B. Balakirsky, Craig I. Schlenoff, Sandro R. Fiorini, Signe Redfield, Marcos Barreto, Hirenkumar Nakawala, Joel L. Carbonera, Larisa Soldatova, Julita Bermejo-Alonso, Fatima Maikore, Paulo J. Goncalves, Elena D. Momi, S. Veera Ragavan, Tamas Haidegger
Ontologies serve robotics in many ways, particularly in describing and driving autonomous functions. These functions are built around robot tasks. The goal of a recently established international study group is to develop a knowledge representation that

A Suite of Ontologies for Robotics and Automation

March 24, 2017
Author(s)
Sandro R. Fiorini, Julita Bermejo-Alonso, Paulo Goncalves, Edison Pignaton de Freitas, Alberto Olivares Alarcos, Joanna Isabelle Olszewska, Edson Prestes, Craig I. Schlenoff, Veera S. Ragavan, Signe Redfield, Bruce Spencer, Howard Li
One of the basic requirements for any type of robot communication (whether with other robots or humans) is the need for a common vocabulary along with clear and concise definitions. With the growing complexity of tasks that robots are expected to perform

What More Agile Robots Could Mean for Consumers

March 24, 2017
Author(s)
Craig I. Schlenoff
The ways that developers of robots have talked about their craft have been highly specialized to a given domain-and sometimes have varied even within the domain. This has made it difficult to share advances across the landscape of robot R&D and, in turn

Lets Talk, Robots

November 21, 2016
Author(s)
Craig I. Schlenoff
This is a short article for Scientific Computing Magazine, at the request of the editor, that describes the IEEE 1872 IEEE Standard Ontologies for Robotics and Automation standard.

Editorial: Special Issue on Industrial Robot Agility

September 14, 2016
Author(s)
Craig I. Schlenoff, Stephen B. Balakirsky, Murad Kurwa
The robotic systems of tomorrow need to be capable, flexible, and agile. These systems need to perform their duties at least as well as human counterparts, be quickly re-tasked to other operations, and cope with a wide variety of unexpected environmental

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

Test Methods for Robot Agility in Manufacturing

June 2, 2016
Author(s)
Anthony J. Downs, William S. Harrison, Craig I. Schlenoff
In today's world of fast-paced change and ever evolving technologies, there is constant pressure on manufactures for agile production. The need for customization and robustness require today's manufacturers to shift production goals quickly, and address

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 Tools for XML to OWL Translation

July 7, 2015
Author(s)
Thomas Kramer, Benjamin H. Marks, Craig I. Schlenoff, Stephen B. Balakirsky, Zeid Kootbally, Anthony Pietromartire
This paper describes a set of closely related C++ software tools for manipulating XML (eXtensible Markup Language) schemas and XML instance files and translating them into OWL (Web Ontology Language) class _les and OWL instance files. They include: (1) an

Preface: Special Issue on Knowledge Driven Robotics and Manufacturing

June 30, 2015
Author(s)
Craig I. Schlenoff, Stephen B. Balakirsky, Edson Prestes
State-of-the-art robots are capable of sub-millimeter movement accuracy. However, they are often programmed by an operator using crude positional controls from a teach pendent. Reprogramming these robots when their task is altered requires that the robot