{"id":126488,"date":"2024-01-19T11:13:52","date_gmt":"2024-01-19T17:13:52","guid":{"rendered":"https:\/\/uwm.edu\/news\/?p=126488"},"modified":"2024-01-29T16:08:01","modified_gmt":"2024-01-29T22:08:01","slug":"uwms-connected-systems-institute-develops-a-manufacturing-chatbot-for-workers","status":"publish","type":"post","link":"https:\/\/uwm.edu\/news\/uwms-connected-systems-institute-develops-a-manufacturing-chatbot-for-workers\/","title":{"rendered":"UWM\u2019s Connected Systems Institute develops a manufacturing chatbot for workers"},"content":{"rendered":"

The rise of smart technologies in manufacturing plants can be a little overwhelming for small and medium-sized operations who are less likely to integrate these into their businesses.<\/p>\n

The Connected Systems Institute at the University of Wisconsin-Milwaukee has an answer:\u00a0 Researchers there created a tool that could help smaller companies ease into next-generation manufacturing. It\u2019s a factory-specific GPT, or generative pretrained transformer, allowing workers to use natural language to interact with the production line and receive immediate answers.<\/p>\n

Think of it as a virtual assistant, like Alexa, except for manufacturing.<\/p>\n

\"\"
Professor Atish Sinha, academic director of UWM’s Connected Systems Institute, said some tools developed at the institute could appeal to smaller businesses who are just being introduced to advanced manufacturing. (Photo by Kris Piwek)<\/figcaption><\/figure>\n

\u201cSmall businesses cannot afford high down times,\u201d said CSI Academic Director Atish Sinha, who is also the Rockwell Automation Endowed Professor in Connected Systems. \u201cIf a machine fails, you can troubleshoot and fix the problem as soon as possible using this tool. So, that is going to save the business a lot of time and money with a relatively small investment in AI.\u201d<\/p>\n

Launched in 2017, CSI provides opportunities for industry partners to work together with faculty and student researchers from UWM and collaborating universities to develop advanced manufacturing processes using the facility\u2019s testbed production line.<\/p>\n

The term connected systems refers to the use of artificial intelligence, streaming data on the Internet of Things (IoT) and automated robotics to improve factory efficiencies.<\/p>\n

Support from Microsoft<\/strong><\/p>\n

Shamar Webster, a second-year graduate student in computer science, co-created the prototype tool with Microsoft\u2019s chief AI officer, Balamurugan Balakreshnan, after getting the idea when ChatGPT was made public a year ago.<\/p>\n

\u201cI faced challenges transitioning to the manufacturing world,\u201d Webster said, \u201cespecially in operating our industrial manufacturing testbed. I wanted a co-pilot for troubleshooting in manufacturing.\u201d<\/p>\n

The tool can be much more powerful than a traditional chatbot, Sinha said, because it will allow employees to engage in conversations about, for example, understanding the production line\u2019s safety systems, performing quality checks and other institutional knowledge.<\/p>\n

\u201cOne of the big advantages is that it\u2019s going to address an employee skills gap,\u201d he said. \u201cLet’s say a new employee comes on board and he or she doesn\u2019t have the expertise yet to understand what is going on in the manufacturing production line.\u201d<\/p>\n

Although the tool is being used on the CSI testbed now, it\u2019s still early and will need some modifications before it can be programmed to act like a virtual assistant.<\/p>\n

\u00a0<\/strong>The CSI tool combines the capabilities of different technologies, including Microsoft’s Azure Machine Learning, which enables it to become AI-trained with information from the testbed\u2019s operations and maintenance manuals.<\/p>\n

Microsoft has lent significant support to the institute with two gifts \u2013 one in 2019 and the other announced Jan. 19 \u2013 totaling $2.7 million. Microsoft CEO Satya Nadella graduated from UWM\u2019s College of Engineering & Applied Science in 1990 with a master\u2019s degree in computer science.<\/p>\n

\u201cWe at UWM are so grateful to Microsoft for their continued support of the Connected Systems Institute,\u201d UWM Chancellor Mark Mone said. \u201cTheir gift allows us to expand innovation among Wisconsin manufacturers through the adoption of Industry 4.0 and AI technologies and to meet the ever-increasing demand for a highly skilled workforce. Together, we are advancing the economic growth of our region.\u201d<\/p>\n

Training and research come together<\/strong><\/p>\n

The testbed brings together numerous products developed by various companies that participate in the institute \u2013 plant and automation control tools from Rockwell Automation and Endress+Hauser; operational technology security systems from Fortinet<\/a>; and industrial wired and wireless networking from Cisco. The CSI industrial datacenter includes hardware from Dell and cloud storage from Microsoft. Other industry partners include We Energies and the Wisconsin Economic Development Corporation.<\/p>\n

That\u2019s a lot of new technology available for research and development.<\/p>\n

Another tool that CSI researchers and students designed is one that improves computer \u201cvision,\u201d aiding in object classification. Again, a problem from the testbed inspired the solution.<\/p>\n

CSI\u2019s testbed moves vials of colored water along a production line to fulfill orders. When automated robots were mishandling vials, Webster determined it was because some of the vials were damaged.<\/p>\n

The robots on the testbed line can recognize the color fidelity of the recipe inside the vials, but they weren\u2019t catching flaws in the vials themselves, he said.<\/p>\n

The CSI team created and tested an automated system that includes a video camera that streams live data from the manufacturing line. He then layered on an AI model he trained with a dataset of 3,500 images that included those of translucent vials.<\/p>\n

\u201cThis is a custom image recognition tool to detect anomalies in any kind of product,\u201d Sinha said. \u201cThat would be of interest to smaller companies because it doesn’t cost a lot of money. All you need is a camera and an AI learning system.\u201d<\/p>\n

The real-time vision tool can make flaw detection with 90% confidence, reducing the need for human oversight.<\/p>\n

CSI offers workshops in advanced manufacturing that smaller operations can take advantage of, Sinha said, and there\u2019s interest in those.<\/p>\n

\u201cTo convince them of the relative advantage that industrial IoT and open AI technologies provide, we have to monetize it,\u201d he said.<\/p>\n","protected":false},"excerpt":{"rendered":"

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