Old MacDonald Automated His Farm… AI, AI, Oh

Marshall Monroe

Marshall Monroe MAGIC LLC

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Corrales, NM 87048

mm@marshallmonroemagic.com

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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Automatic Volumetric Segmentation of Additive Manufacturing Defects

with 3D U-Net

Vivian Wen Hui Wong,1 Max Ferguson,1 Kincho H. Law,1 Yung-Tsun Tina Lee,2 Paul Witherell2

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1Engineering Informatics Group, Civil and Environmental Engineering, Stanford University, Stanford, CA 94305

2Systems Integration Division, National Institute of Standards and Technology (NIST), Gaithersburg, MD 20899

1{vwwong3, maxferg, law}@stanford.edu; 2{yung-tsun.lee, paul.witherell}@nist.gov

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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AI Enabled Manufacturing For Those Who Make the World

Mark Maybury, Sudhi Bangalore, Eric Cohen, Ashley Baron and Paul Turner

Stanley Black & Decker

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One Constitution Plaza, Second Floor

Hartford, CT 06103

{mark.maybury, sudhi.bangalore, eric.cohen, ashley.baron, paul.turner}@sbdinc.com

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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Stanley Black & Decker: A Case Study in Using Edge AI for Scrap Reduction

Sastry Malladi,1 Ramya Ravichandar,2 Yugal Sachdev,3 Judah Kshitij,4 Greg Makowski,5 Lou

Loizides,6 Carl March,7 Rohit Shesh,8 Eamon Bean9

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FogHorn1,2,3,4,5,6 Stanley Black & Decker7,8,9

sastry@foghorn.io,1 ramya@foghorn.io,2 yugal.sachdev@foghorn.io,3 judah.kshitij@foghorn.io,4 greg.makowski@foghorn.io,5 lou.loizides@

foghorn.io6 Carl.March@sbdinc.com,7 Rohit.Shesh@sbdinc.com,8 Eamon.Bean@sbdinc.com9

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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Next-Generation of Weld Quality Assessment Using Deep Learning and Digital Radiography

M-Mahdi Naddaf-Sh1, Sadra Naddaf-Sh1, Hassan Zargaradeh, 1

Sayyed M. Zahiri2, Maxim Dalton2, Gabriel Elpers2, Amir R. Kashani 2

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1 Electrical Engineering Department, Lamar University,

2 Artificial Intelligence Lab, Stanley Oil & Gas, Stanley Black & Decker

amir.kashani@sbdinc.com

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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Physics-Guided Machine Learning for Self-Aware Machining

Noel P. Greis,1 Monica L. Nogueira,2 Sambit Bhattacharya,3 Tony Schmitz4

North Carolina State University,1,2 Fayetteville State University,3 University of Tennessee Knoxville4 npgreis@ncsu.edu,1 mdnoguei@ncsu.edu, 2 sbhattac@uncfsu.edu 3 tony.schmitz@utk.edu

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The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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Autonomous Robotic Exploration and Mapping of Smart Indoor EnvironmentsWith UWB-IoT Devices

TianyiWang1, Ke Huo1, Muzhi Han2, Daniel McArthur1, Ze An1,

David Cappeleri1, and Karthik Ramani13

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1School of Mechanical Engineering at Purdue University, US

fwang3259, khuo, dmcarth, an40, dcappell, ramanig@purdue.edu

2Department of Mechanical Engineering at Tsinghua University, China, muzhihan@foxmail.com

3School of Electrical and Computer Engineering at Purdue University, US (by Courtesy)

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

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Developing Metrics and Evaluation Methods for Assessing AI-Enabled Robots in Manufacturing

Adam Norton, Amy Saretsky, and Holly Yanco

New England Robotics Validation and Experimentation (NERVE) Center

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University of Massachusetts Lowell

110 Canal Street, Lowell, Massachusetts 01852

Corresponding author e-mail: adam norton@uml.edu

The Future of Intelligent Manufacturing

Nearly one half million unfilled manufacturing positions (Deloitt), low productivity and strong competition for new products are driving significant need for increasingly intelligent, agile, and collaborative manufacturing. Significant advanced manufacturing activities are underway across the world from global manufactures in a multiplicity of verticals including pharmaceuticals, medical products, automotive, aerospace, consumer goods, construction, power and hand tools, materials, and industrials. Intelligent machines are addressing an increasingly complex range of manufacturing tasks including product design, material handling, machine tending, assembly, packaging, and distribution. Intelligent systems can provide a range of potential benefits to include speed, flexibility, accuracy. The purpose of this Spring Symposium is to bring together leading experts from across diverse communities to craft a 10-year road map for AI in manufacturing.

收起