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Craig I. Schlenoff (Fed)

Craig Schlenoff is the Group Leader of the Cognition and Collaboration Systems Group and the Program Manager of the Robotic Systems for Smart Manufacturing Program in the Intelligent Systems Division at the National Institute of Standards and Technology. He leads the Agility Performance of Robotic Systems project and co-leads the Embodied AI and Data Generation for Manufacturing Robotics project. His research interests include knowledge representation/ontologies, intention recognition, and performance evaluation techniques applied to manufacturing robotic systems. He has led multiple million-dollar projects, dealing with performance evaluation of advanced military technologies and agility performance of manufacturing robotic systems. He has published over 150 journal and conference papers, guest edited three journals, and written three book chapters. He is currently the Associate Vice President for Standardization within the IEEE Robotics and Automation Society and the vice chair of the IEEE Robot Task Representation Working Group. He previously served as the program manager for the Process Engineering Program at NIST and the Director of Ontologies at VerticalNet. He received his Bachelor’s degree from the University of Maryland and his Master’s degree from Rensselaer Polytechnic Institute, both in mechanical engineering, and his PhD from the University of Burgundy, France in computer science.

Awards

IEEE Standards Association Standards Medallion for significant contributions to IEEE Standards (December 2019)

IEEE Emerging Technology Award for the IEEE Core Ontologies for Robotics and Automation Standard (December 2015)

NIST Gold Medal Award for developing innovative techniques to secure and measure the performance of smartphones and applications (January 2014)

NIST Silver Medal Award for developing innovative techniques to measure the performance of automated speech translation systems leading to confident U.S. military fielding (September 2011)

NIST Bronze Medal Award for developing and administering a groundbreaking performance evaluation framework for characterizing complex intelligent systems (September 2008)

NIST Colleague’s Choice Award for exemplary leadership and championship of the NIST mission in the management of independent evaluation for the DARPA ASSIST and TRANSTAC programs (December 2007)

Selected Publications

Using 4D/RCS to Address AI Knowledge Integration

Author(s)
Craig I. Schlenoff, James S. Albus, Elena R. Messina, Tony Barbera, Rajmohan (. Madhavan, Stephen B. Balakirsky
In this paper, we show how 4D/RCS incorporates and integrates multiple types of disparate knowledge representation techniques into a common, unifying

Publications

Methods to evaluate 3D lidars used for automated driving

Author(s)
Prem Rachakonda, Abhilash Mane, Craig I. Schlenoff, Kamel S. Saidi
Evaluating perception sensor systems for on-road autonomous vehicles is still fraught with ambiguity due to the varying and dynamic environmental factors that

Standards and Performance Metrics for On-Road Automated Vehicles

Author(s)
Craig I. Schlenoff, Zeid Kootbally, Prem Rachakonda, Suzanne Lightman, Apostol Vassilev, David A. Wollman, Edward Griffor
On September 5–8, 2023, the National Institute of Standards and Technology (NIST) held the second Standards and Performance Metrics for On‐Road Automated

Patents (2018-Present)

Sketch of six-dimensional smart target

Six-Dimensional Smart Target

NIST Inventors
Craig I. Schlenoff and Helen Qiao
A six-dimensional smart target determines pose of an object and includes: a gimbal with an azimuthal base and an elevation arm; an elevation member on the elevation arm that has light pipes; and an azimuthal member with light pipes such that the elevation member rotates at a rotary center about an
Created February 20, 2019, Updated December 8, 2022