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Federal Register / Vol. 86, No. 161 / Tuesday, August 24, 2021 / Notices
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FR Doc. 202118196 Filed 82321; 8:45 am BILLING CODE 351013P

DEPARTMENT OF COMMERCE
National Institute of Standards and Technology Robot Workcell Degradation Technology Exploration With the Manufacturing Extension Partnership National Network Consortium National Institute of Standards and Technology, Department of Commerce.
ACTION: Notice of research consortium.

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AGENCY:

The National Institute of Standards and Technology NIST, an agency of the United States Department of Commerce, in support of efforts to verify and validate robot workcell
SUMMARY:

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health monitoring methods for use in the manufacturing industry, is establishing the Robot Workcell Degradation Technology Exploration with the Manufacturing Extension Partnership National Network Consortium Consortium. In addition to supporting verification and validation of robot workcell health monitoring methods, the consortium intends to provide NIST with the opportunity to transfer technology to the U.S.
manufacturing sector through the Manufacturing Extension Partnership MEP National NetworkTM.
DATES: The Consortiums activities will commence on July 23rd, 2021
Commencement Date. NIST will accept letters of interest from MEP
Center teams to participate in this Consortium from prospective participants until December 1, 2023.
ADDRESSES: Completed letters of interest or requests for additional information about the Consortium can be directed via electronic mail to RobotCRADA@
nist.gov.
FOR FURTHER INFORMATION CONTACT:
Jaime Maynard, CRADA Administrator, National Institute of Standards and Technologys Technology Partnerships Office, by mail to 100 Bureau Drive, Mail Stop 2200, Gaithersburg, Maryland 20899, by electronic mail to Jaime.maynard@nist.gov, or by telephone at 301 9758408.
SUPPLEMENTARY INFORMATION:
Consortium efforts are expected to yield practical lessons learned and guidance on the deployment and usage of the NIST-developed test methodology and companion sensor along with producing quantitative data from the test method and the host robot workcells. This will enhance NISTs research verifying and validating methods to assess robot workcell health degradation in addition to accelerating technology transfer into the manufacturing industry.
NISTs Engineering Laboratory has developed a test methodIdentification and Isolation of Robot Workcell Degradationthat has the potential to efficiently assess the change in accuracy within a robot workcell, including those used in manufacturing operations. The test method is paired with the NISTdeveloped Position Verification Sensor PVSpatent pending to yield pass/fail output when the test method is executed with the PVS in a robot workcell. The test method and PVS are designed such that the change in accuracy of the key insertion can be measured to desired tolerances. This capability addresses the challenge that it can be costly to determine if the health of a robot workcell has degraded before
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quality and/or productivity are impacted. The test method and sensor require verification and validation from industrial partners. The Manufacturing Extension Partnership MEP National NetworkTM, a public-private partnership with Centers in every U.S. state and Puerto Rico dedicated to serving small and medium-sized manufacturers, is uniquely positioned to enable this activity.
Each pilot study will be performed at a MEP Center-selected manufacturing facility. Proof of concept studies, prior to individual pilot studies, may be conducted at an MEP Center or at a chosen technology integrator/builder facility.
This CRADA Consortium involves the use of U.S. Government IP. NIST
Invention entitled POSITION
VERIFICATION SENSOR WITH
DISCRETE OUTPUT, US Patent Application 16/572,847, filed on September 17, 2019, will be the IP that is used in this collaboration.
This Consortium has specific objectives including:
1 Pilot the test method and PVS in manufacturing facilities through guided deployments by state-based MEP Center teams to obtain practical feedback, including quantitative performance data, lessons learned, and deployment guidance, regarding the viability of the test method and sensor in robot workcells;
2 During each pilot study, obtain information regarding the manufacturing operations, test method, and sensor performance including a data from the test method and sensor during its usage in a robot workcell health testing, b component-level data from the robots that are interacting with the sensor, c process-level data captured from the overall workcells that include the test method/sensor, d operational configuration information of the robot workcell including use case variants e.g., robot picks up boxes weighing 5 kg and 10 kg as opposed to picking up boxes of the same weight, e maintenance logs and activities that document faults and failures of the workcell along with specific maintenance that is performed, and f feedback from manufacturing personnel e.g., operators, maintenance personnel, plant managers, etc.;
3 Enable MEP Center teams to explore the development of a service of the NIST test method and/or the commercialization of the new sensor technology to ultimately promote transfer to the manufacturing industry;
and 4 Enable MEP Center teams to promote a capability for manufacturers/

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