Naiya Salinas and her instructor, Deryk Stoops, looked back and forth between the large screen on the wall and a hand-held monitor.

Tracing between the lines of code, Salinas made a discovery: A character was missing.

The lesson was an important, real-world example of the problem-solving skills required when working in robotics. Salinas is one of a half-dozen students enrolled in the new AI Enhanced Robotic Manufacturing program at the Georgia Veterans Education Career Transition Resource (VECTR) Center, which is setting a new standard for technology-focused careers.

The set-up of the lab was intentional, said Stoops, who designed the course modules and worked with local industry to determine their manufacturing needs. Then, with funding from the Georgia Tech Manufacturing Institute's (GTMI) Georgia Artificial Intelligence in Manufacturing (Georgia AIM) project, Stoops worked with administrators at Central Georgia Technical College to purchase robotics and other cutting-edge manufacturing tools.

As a result, the VECTR Center’s AI-Enhanced Robotic Manufacturing Studio trains veterans in industry-standard robotics, manufacturing modules, cameras, and network systems. This equipment gives students experience in a variety of robotics-based manufacturing applications. Graduates can also finish the 17-credit course with two certifications that carry some weight in the manufacturing world.

“After getting the Georgia AIM grant, we pulled together a roundtable with industry. And then we did site visits to see how they pulled AI and robotics into the space,” said Stoops. “All the equipment in here is the direct result of industry feedback.”

Statewide Strategic Effort

Funded by a $65 million grant from the federal Economic Development Administration, Georgia AIM is a network of projects across the state born out of GTMI and led by Georgia Tech’s Enterprise Innovation Institute. These projects work to connect the manufacturing community with smart technologies and a ready workforce. Central Georgia received around $4 million as part of the initiative to advance innovation, workforce development and STEM education in support of local manufacturing and Robins Air Force Base.

Georgia AIM pulls together a host of regional partners all working toward a common goal of increasing STEM education, access to technology and enhancing AI among local manufacturers. This partnership includes Fort Valley State University, the Middle Georgia Innovation Project led by the Development Authority of Houston County, Central Georgia Technical College, which administers the VECTR Center, and the 21st Century Partnership.

“This grant will help us turn our vision for both the Middle Georgia Innovation Project and the Middle Georgia STEM Alliance, along with our partners, into reality, advancing this region and supporting the future of Robins AFB,” said Brig. Gen. John Kubinec, USAF (ret.), president and chief executive officer of the 21st Century Partnership.

Georgia AIM funding for Central Georgia Technical College and Fort Valley State focused on enhancing technology and purchasing new components to assist in education. At Fort Valley State, a mobile lab will launch later this year to take AI-enhanced technologies to underserved parts of the state, while Central Georgia Tech invested in an AI-enhanced robotics manufacturing lab at the VECTR Center.

“This funding will help bring emerging technology throughout our service area and beyond, to our students, economy, and Robins Air Force Base,” said Dr. Ivan Allen, president of Central Georgia Technical College. “Thanks to the power of this partnership, our faculty and students will have the opportunity to work directly with modern manufacturing technology, giving our students the experience and education needed to transition from the classroom to the workforce in an in-demand industry.”

New Gateway for Vets

The VECTR Center’s AI-Enhanced Robotics Manufacturing Studio includes FANUC robotic systems, Rockwell Automation programmable logic controllers, Cognex AI-enabled machine vision systems, smart sensor networks, and a MiR autonomous mobile robot.

The studio graduated its first cohort of students in February and celebrated its ribbon-cutting ceremony on April 17 with a host of local officials and dignitaries. It was also an opportunity to celebrate the students, who are transitioning from a military career to civilian life.

The new technologies at the VECTR Center lab are opening new doors to a growing, cutting-edge field.

“From being in this class, you really start to see how the world is going toward AI. Not just Chat GPT, but everything — the world is going toward AI for sure now,” said Jordan Leonard, who worked in logistics and as a vehicle mechanic in the U.S. Army. Now, he’s upskilling into robotics and looking forward to using his new skills in maintenance. “What I want to do is go to school for instrumentation and electrical technician. But since a lot of industrial plants are trying to get more robots, for me this will be a step up from my coworkers by knowing these things.”

Whether it’s typing an email or guiding travel from one destination to the next, artificial intelligence (AI) already plays a role in simplifying daily tasks.

But what if it could also help people live more efficiently — that is, more sustainably, with less waste?

It’s a concept that often runs through the mind of Iesha Baldwin, the inaugural Georgia AIM Fellow with the Partnership for Inclusive Innovation (PIN) at the Georgia Institute of Technology’s Enterprise Innovation Institute. Born out of the Georgia Tech Manufacturing Institute, the Georgia AIM (Artificial Intelligence in Manufacturing) project works with PIN fellows to advance the project's mission of equitably developing and deploying talent and innovation in AI for manufacturing throughout the state of Georgia.

When she accepted the PIN Fellowship for 2023, she saw an opportunity to learn more about the nexus of artificial intelligence, manufacturing, waste, and education. With a background in environmental studies and science, Baldwin studied methods for waste reduction, environmental protection, and science education.

“I took an interest in AI technology because I wanted to learn how it can be harnessed to solve the waste problem and create better science education opportunities for K-12 and higher education students,” said Baldwin.

This type of unique problem-solving is what defines the PIN Fellowship programs. Every year, a cohort of recent college graduates is selected, and each is paired with an industry that aligns with their expertise and career goals — specifically, cleantech, AI manufacturing, supply chain and logistics, and cybersecurity/information technology. Fellowships are one year, with fellows spending six months with a private company and then six months with a public organization.

Through the experience, fellows expand their professional network and drive connections between the public and private sectors. They also use the opportunity to work on special projects that involve using new technologies in their area of interest.

With a focus on artificial intelligence in manufacturing, Baldwin led an inventory management project at the Georgia manufacturer Freudenberg-NOK, where the objective was to create an inventory management system that reduced manufacturing downtime and, as a result, increased efficiency, and reduced waste.

She also worked in several capacities at Georgia Tech: supporting K-12 outreach programs at the Advanced Manufacturing Pilot Facility, assisting with energy research at the Marcus Nanotechnology Research Center, and auditing the infamous mechanical engineering course ME2110 to improve her design thinking and engineering skills.

“Learning about artificial intelligence is a process, and the knowledge gained was worth the academic adventure,” she said. “Because of the wonderful support at Georgia Tech, Freudenberg NOK, PIN, and Georgia AIM, I feel confident about connecting environmental sustainability and technology in a way that makes communities more resilient and sustainable.”

Since leaving the PIN Fellowship, Baldwin connected her love for education, science, and environmental sustainability through her new role as the inaugural sustainability coordinator for Spelman College, her alma mater.  In this role, she is responsible for supporting campus sustainability initiatives.

Two faculty members in the George W. Woodruff School of Mechanical Engineering will receive achievement awards from the American Society of Mechanical Engineers (ASME). Shreyes Melkote, who holds the Morris M. Bryan, Jr. Professorship in Mechanical Engineering, will receive the 2024 Milton C. Shaw Manufacturing Research Medal, and Professor Jerry Qi will receive the 2024 Warner T. Koiter Medal.

The Milton C. Shaw Manufacturing Research Medal, established in 2009, recognizes significant fundamental contributions to the science and technology of manufacturing processes.

"I am honored to receive this prestigious award. Milton C. Shaw was a giant in the manufacturing field, and to be recognized by an award named after him is very humbling," said Melkote, who also serves as the associate director for the Georgia Tech Manufacturing Institute.

The Warner T. Koiter Medal was established in 1996 and recognizes distinguished contributions to the field of solid mechanics with special emphasis on the effective blending of theoretical and applied elements of the discipline, as well as leadership in the international solid mechanics community.

Qi expressed his appreciation for his team upon learning of the award. “This award is really for my current and former students and postdoctoral scholars. It recognizes their work and innovations in a very special way," he said.

Qi's research is focused on the mechanics and 3D printing of soft active materials to enable 4D printing methods and the recycling of thermosetting polymers. He has developed several material models to describe the multiphysics and chemomechanical behaviors of soft active materials. He also pioneered several multimaterial 3D printing approaches that allow the integration of different polymers and functional materials into one system.

Melkote's primary area of research is manufacturing, and his secondary area of research is tribology, specifically in the science of precision material removal processes, new manufacturing process development including novel surface modification methods, the application of artificial intelligence and machine learning to solve complex problems in manufacturing, and advanced industrial robotics for precision manufacturing.

Melkote also credited the efforts and support of his students and colleagues. "This recognition would not have been possible without the high level of creativity and outstanding efforts of my graduate students and postdoctoral scholars, the support of my colleagues and mentors at Georgia Tech and beyond, and the opportunities and resources provided to me by the Woodruff School. I am truly grateful to all of them."

Both will be presented with their awards at upcoming ASME events. Melkote will receive his award at the ASME Manufacturing Science and Engineering Conference, June 17-21, in Knoxville, TN, and Qi will receive his at the ASME International Mechanical Engineering Congress and Exposition, November 17-21, in Portland, OR.

Four industry leaders have been named to the new board of the Georgia Institute of Technology’s Manufacturing 4.0 Consortium, cementing the first full year of the organization that works to build industry and research partnerships.

The Georgia Tech Manufacturing 4.0 Consortium is a membership-based organization connecting manufacturers, academia and government institutions at the university’s Advanced Manufacturing Pilot Facility in Midtown Atlanta. Members have unique opportunities to conduct research, develop and pilot new manufacturing systems and collaborate with students and other consortium members.

Members of the consortium’s board, announced earlier this month, include:

• Chuck Boyles (vice president, Factory Automation Systems)
• Branden Kappes (founder and president, Contextualize)

Additionally, the board has formed an industry membership committee led by:

• John Flynn (vice president of sales at Endeavor 3D, serving as Industry Membership chair)
• John Arroues (vice president of marketing at TRAK Machine Tools, serving as Industry Membership co-chair)

Consortium board members assist in fostering business relationships among the organization’s members, develop short- and long-term plans to align projects with emerging industry needs, work to make connections across industries, and advocate for consortium members to ensure the organization is meeting their needs and aligning with industry trends.

“The addition of these board members to the Manufacturing 4.0 Consortium cements this organization as a premier industry-academic partnership,” said Steven Ferguson, managing director of Georgia Artificial Intelligence in Manufacturing (Georgia AIM). Georgia AIM, a 4-year, $65 million federal grant program, serves as a catalyst for the consortium.

The grant is supporting an expansion of the Advanced Manufacturing Pilot Facility into a fully formed smart manufacturing space. As the facility expands to include new manufacturing technologies, members of the Manufacturing 4.0 Consortium will be able to access and test these systems for their own manufacturing needs.

“This is an exciting time at the facility. The expansion of the manufacturing space allows us to expand research into new projects that incorporate artificial intelligence and smart technologies,” added Ferguson. “And, with our consortium board members in place, it increases our ability to serve the manufacturing community.”

Launched in 2023, the Georgia Tech Manufacturing 4.0 Consortium aims to develop and deploy manufacturing technologies and workforce development opportunities. Consortium members gain the opportunity to accelerate product development, adopt and deploy industry 4.0 technologies, train the future workforce ad become global leaders using i4.0 solutions.

For more information on memberships, research opportunities, and the smart technologies planned for Georgia Tech’s Advanced Manufacturing Pilot Facilities, visit ampf.research.gatech.edu or contact Ferguson at sferguson@gatech.edu.

On April 12, 2024, Georgia Tech's Supply Chain and Logistics Institute (SCL) hosted a productive meeting of its Industry Advisory Board (IAB), bringing together key stakeholders from industry and academia to shape the future of supply chain education and research. The agenda commenced with a pre-meeting social, fostering networking opportunities among IAB members, faculty, and industry guests. Following a welcome by Professor Benoit Montreuil (SCL Executive Director), the SCL leadership team provided updates on the institute's progress and addressed common questions, setting the stage for dynamic discussions.

Representatives from leading companies joined the meeting, reflecting the broad industry interest in shaping the future of supply chain education and research. Attending companies included: Amazon, Americold, Cisco, Coca-Cola, Dematic, Georgia Center of Innovation in Logistics, Graphic Packaging International, The Home Depot, Georgia Ports Authority, Hartsfield-Jackson Atlanta International Airport, Michelin North America, MiTek, Newell Brands, Steelcase, UPS.

Professors Frederick Benaben and Chris Gaffney (SCL Managing Director) led a session on professional and lifelong supply chain education, seeking input on future strategies. Participants, including representatives from The Home Depot and Steelcase, emphasized the importance of practical application and cohesive program structures to maximize learning outcomes. This emphasis resonates with SCL's mission to bridge the gap between academia and industry, ensuring that educational offerings are not only rigorous but also relevant and applicable to real-world scenarios.

Infrastructure and logistics at a societal level took center stage, with discussions ranging from state-level initiatives in Georgia to novel ideas under ARPA-I. By exploring state-level initiatives, such as responses to the GA Senate Infrastructure Ask and collaborations with organizations like the Georgia Center of Innovation and the Atlanta Regional Commission, participants delved into how strategic partnerships and policy decisions can drive positive outcomes at scale.

Professor Alejandro Toriello (SCL Scientific Director) provided insights into ongoing research efforts, followed by faculty spotlights on AI and machine learning by Assistant Professor Tuo Zhao, shedding light on breakthroughs in natural language AI. Research students Dipayan Banerjee (Topic: Tactical Planning for Same-Day Delivery) and Lacy Greening (Topic: E-Commerce Fulfillment Network Planning) gave excellent presentations on innovative approaches to last-mile delivery and e-commerce network design, respectively, garnering interest from practitioners in attendance.

Chris Gaffney led discussions on the future of partnerships, seeking input on enhancing collaboration between academia and industry. Attendees emphasized the need for deeper engagement and a clearer understanding of the institute's capabilities. White space discussions highlighted areas for further exploration, including cybersecurity, sustainability, and diversity in the supply chain space. Attendee feedback underscored the importance of diverse perspectives and thought leadership in driving innovation.

The meeting concluded with plans for future engagement and reaffirming Georgia Tech's commitment to serving as a catalyst for industry advancements.

On Tuesday, April 16th, Georgia Tech Supply Chain and Logistics Institute (SCL) Managing Director Chris Gaffney joined SVP Stephanie Smith and Director Gonzalo Cordova from The Home Depot along with Emilie Schario, Founder and CEO of Turbine, and Georgia Tech Advanced Technology Development Center (ATDC) Supply Chain Catalyst Alex Rhodeen for a dynamic panel discussion on the state of Supply Chain, the role of AI, and where we're headed next. As part of the discussion, the panel addressed issues on globalization, geopolitical tensions, sustainability concerns, and the impact of natural disasters on supply chains. The panelists also provided examples of how AI technologies such as machine learning, predictive analytics, and robotic process automation are being used to optimize various aspects of the supply chain, from demand forecasting to inventory management to logistics. The group stressed the role of AI and how it will be pivotal in shaping the future of supply chain management through fostering agility, sustainability, and competitive advantage. In addition to the panel, more than 20 ATDC companies participated in a showcase to present their solutions to the Georgia Tech startup ecosystem.

This event was part of ATDC's Supply Chain vertical, generously supported by The Home Depot. As a key component of this collaboration, Home Depot executives mentor program participants and offer guidance and expertise as they build, test, and bring new products and services to market. The initiative aims to drive innovation and nurture the growth of startups in the supply chain and logistics sector, leveraging the robust expertise and infrastructure available in Georgia. Given the evolving landscape of supply chain and logistics, partnerships with program participants are increasingly vital for early-stage companies, facilitating customer acquisition and business model development. The Supply Chain vertical is the sixth of its kind at ATDC, a globally recognized technology incubator, and follows other targeted programs in health, retail, and financial technologies. Through collaboration with SCL, ATDC fosters the innovation of Georgia-grown supply chain solutions.

ABOUT ATDC
The Advanced Technology Development Center (ATDC), a program of the Georgia Institute of Technology, is the state of Georgia’s technology startup incubator. Founded in 1980 by the Georgia General Assembly which funds it each year, ATDC’s mission is to work with entrepreneurs in Georgia to help them learn, launch, scale, and succeed in the creation of viable, disruptive technology companies. Since its founding, ATDC has grown to become the longest running and one of the most successful university-affiliated incubators in the United States, with its graduate startup companies raising $3 billion in investment financing and generating more than $12 billion in revenue in the state of Georgia. ATDC brings a unique framework that combines its startup curriculum, coaching, connections, and community, as well as direct access to Georgia Tech resources, research expertise, and student talent, to help entrepreneurs learn, launch, scale, and succeed. In this effort, ATDC will offer programming, recruit and evaluate startups, and hire staff to manage the vertical. Learn more at atdc.org.

With new vehicle models being developed by major brands and a growing supply chain, the electric vehicle (EV) revolution seems well underway. But, as consumer purchases of EVs have slowed, car makers have backtracked on planned EV manufacturing investments. A major roadblock to wider EV adoption remains the lack of a fully realized charging infrastructure. At just under 51,000 public charging stations nationwide, and sizeable gaps between urban and rural areas, this inconsistency is a major driver of buyer hesitance.

 

How do we understand, at a large scale, ways to make it easier for consumers to have confidence in public infrastructure? That is a major issue holding back electrification for many consumer segments.

- Omar Asensio, Associate Professor at Georgia Institute of Technology and Climate Fellow, Harvard Business School | Director, Data Science & Policy Lab

Omar Asensio, associate professor in the School of Public Policy and director of the Data Science and Policy Lab at the Georgia Institute of Technology, and his team have been working to solve this trust issue using the Microsoft CloudHub partnership resources. Asensio is also currently a visiting fellow with the Institute for the Study of Business in Global Society at the Harvard Business School.

The CloudHub partnership gave the Asensio team access to Microsoft’s Azure OpenAI to sift through vast amounts of data collected from different sources to identify relevant connections. Asensio’s team needed to know if AI could understand purchaser sentiment as negative within a population with an internal lingo outside of the general consumer population. Early results yielded little. The team then used specific example data collected from EV enthusiasts to train the AI for a sentiment classification accuracy that now exceeds that of human experts and data parsed from government-funded surveys.

The use of trained AI promises to expedite industry response to consumer sentiment at a much lower cost than previously possible. “What we’re doing with Azure is a lot more scalable,” Asensio said. “We hit a button, and within five to 10 minutes, we had classified all the U.S. data. Then I had my students look at performance in Europe, with urban and non-urban areas. Most recently, we aggregated evidence of stations across East and Southeast Asia, and we used machine learning to translate the data in 72 detected languages.”

 

We are excited to see how access to compute and AI models is accelerating research and having an impact on important societal issues. Omar's research sheds new light on the gaps in electric vehicle infrastructure and AI enables them to effectively scale their analysis not only in the U.S. but globally.

- Elizabeth Bruce, Director, Technology for Fundamental Rights, Microsoft

Asensio's pioneering work illustrates the interdisciplinary nature of today’s research environment, from machine learning models predicting problems to assisting in improving EV infrastructure. The team is planning on applying the technique to datasets next, to address access concerns and reduce the number of “charging deserts.” The findings could lead to the creation of policies that help in the adoption of EVs in infrastructure-lacking regions for a true automotive electrification revolution and long-term environmental sustainability in the U.S.

- Christa M. Ernst

Source Paper: Reliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach - ScienceDirect