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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.
David Urbina, Jairo Giraldo, Alvaro Cardenas, Junia Valente, Mustafa Faisal, Niles O. Tippenhauer, Justin Ruths, Rick Candell, Heinrik Sandberg
Monitoring the "physics" of control systems to detect attacks is a growing area of research. In its basic form a security monitor creates time-series models of sensor readings for an industrial control system and identifies anomalies in these measurements
Craig Blue, Larry Brown, Yoel Fink, Nick Justice, Michael Liehr, Tom McDermott, Ed Morris, Shawn P. Moylan
The Manufacturing USA program is composed of the collective of all of the manufacturing innovation institutes and a supporting Network. The Network serves the Institutes, the Institutes connect through the Network, and the Program serves the Nation.
Ariyan M. Kabir, Joshua D. Langsfeld, Shaurya Shriyam, Vinaichandra S. Rachakonda, Cunbo Zhuang, Krishnanand N. Kaipa, Jeremy Marvel, Satyandra K. Gupta
We describe planning algorithms for cleaning stains on a curved object. Removing the stain may require multiple reorientations of the part and some portions of the stain may require multiple cleaning passes. The experimental setup involves two robot arms
This paper describes the methods used to register a mobile manipulator to a workstation to perform assembly tasks. The nonlinear, least square model of the system is formulated and Ceres Solver[1] is used to compute the position of the robot arm relative
Alec Talin, Dimitry Ruzmetov, Andrei Kolmakov, Kim McKelvey, N Ware, Farid El Gabaly, Bruce Dunn, Henry White
In this paper we demonstrate fully-functional 3D SSLIBs fabricated using materials and thin film deposition methods compatible with semiconductor device processing. These 3D SSLIBs consist of conical or cylindrical Si microcolumns onto which layers
Raunak Bhinge, Jinkyoo Park, Kincho H. Law, David Dornfeld, Moneer Helu, Sudarsan Rachuri
Energy prediction of machine tools can deliver many advantages to a manufacturing enterprise, ranging from energy-efficient process planning to machine tool monitoring. Physics-based energy prediction models have been proposed in the past to understand the
We demonstrate an extensible flat-histogram Monte Carlo simulation methodology for studying the adsorption of multicomponent fluids in flexible porous solids. This methodology allows us to easily obtain the complete free energy landscape for the confined
David R. Novotny, Alexandra E. Curtin, Catherine A. Remley, Peter B. Papazian, Jeanne T. Quimby, Richard Candell
we present a channel sounder that can operate without a tether and still maintain an absolute time reference between the source and receiver. Based on a sliding correlator, with synchronized rubidium clocks to generate phase references for the up- and down
Many engineering disciplines that interact with systems engineering use simulation tools to build models based on equations, which are solved to predict physical and informational behavior over time. Both kinds of engineering are concerned with physical
In nascent areas, such as Smart Manufacturing, new collaborative research and development programs (R&D) are frequently formed with the goal to ignite the innovation lifecycle. Yet, clearly formulating common goals and enabling shared understanding of key
Jason Fox, Felipe F. Lopez, Brandon Lane, Ho Yeung, Steven Grantham
As additive manufacturing processes mature, process control is increasingly sought after as a means for improved quality. Accurate and responsive control of melt pool geometry in laser powder bed fusion processes is expected to improve the final part
This survey provides a literature review of docking research, an area that has relatively few research articles as compared to generic automatic guided vehicle (AGV) or mobile robot research. Docking refers to the arrival and act of a vehicle stopping at a
The measurement of conductance by a resonant cavity involves monitoring the resonant frequency shift and change in the quality factor before and after insertion of the specimen into the cavity. The method is applicable to carbon Vapor deposited (CVD)
Allison Barnard Feeney, Simon P. Frechette, Vijay Srinivasan
There is a convergence of interests in cyber-physical systems, systems engineering, and manufacturing innovation in the United States. The U.S. National Institute of Standards and Technology (NIST) has undertaken research programs in smart manufacturing
Gregory W. Vogl, Alkan Donmez, Andreas Archenti, Brian A. Weiss
Machine tools degrade during operations, yet knowledge of degradation is elusive; accurately detecting degradation of machines' components such as linear axes is typically a manual and time-consuming process. Thus, manufacturers need automated, efficient
Gregor Jacob, M A. Donmez, Shawn P. Moylan, John A. Slotwinski
There are many factors influencing the additive manufacturing (AM) processes resulting in high degree of variation in process outcomes. Therefore, quantifying these factors and their correlations to the process outcomes are important challenges to overcome
Smart Manufacturing Systems (SMS) are envisioned to contain highly-automated and IT-driven production systems. To address the complexity that arises in such systems, a standard and holistic model for describing the activities and their inter-relationships
Ningxuam Kang, Cong Zhao, Jingshan Li, John A. Horst
Key performance indicators (KPIs) are critical for manufacturing operation management (MOM) and continuous improvement (CI). In modern manufacturing systems, KPIs are defined as a set of metrics to reflect operation performance, such as efficiency
The purpose of this report is to track domestic manufacturing activity and its supply chain in order to develop a quantitative depiction of U.S. manufacturing in the context of the domestic economy and global industry. This depiction provides change agents
Mahesh Mani, Jon Larborn, Bjoern J. Johansson, Kevin W. Lyons, Katherine C. Morris
This paper describes ASTMs new guide for characterizing the environmental aspects of manufacturing processes (ASTM WK35705). The guide defines a generic representation to support structured information. Representations of multiple unit manufacturing
Xiaoning Jin, Brian Weiss, David Siegel, Jay Lee, Jun Ni
The goals of this paper are to 1) examine the current practices of diagnostics, prognostics, and maintenance employed by United States (U.S.) manufacturers to achieve productivity and quality targets and 2) to understand the present level of maintenance
From the moment a robot system is put into service to enable a manufacturing process, the overall process, its constituent sub-systems, and components begin to degrade. Without maintenance, this degradation will lead to faults and/or failures impacting the
Joan Pellegrino, Mauricio Justiniano, Anand Raghunathan, Brian Weiss
The National Institute of Standards and Technology (NIST) hosted the Roadmapping Workshop: Measurement Science for Prognostics and Health Management of Smart Manufacturing Systems (PHM4SMS) at its Gaithersburg, MD campus to bring together over 60 PHM