Purdue University’s Polytechnic Institute has launched its new Digital Twin & Robotic Automation Center for Knowledge Sharing, Entrepreneurship & Research (DigiTRACKER) with a seminar on human-AI collaboration in modular construction
The talk, titled Human-AI Co-Evolution in Lean Adaptation of Modular Building Production Systems, was presented by Professor Pingo Tang of Carnegie Mellon University.
Tang explored how AI and humans can collaborate to streamline production processes and reduce waste in modular construction systems.
Fostering collaboration
The DigiTRACKER center aims to foster interdisciplinary collaboration between researchers, industry leaders and government agencies to drive innovation and develop practical solutions to real-world industrial challenges.
Dean Daniel Castro-Lacouture of Purdue Polytechnic was supportive of the event, and the future of DigiTRACKER.
“This new center is poised to take the lead in advancing digital twin and robotics technologies,” he said.
“Professor Tang’s presentation was both insightful and inspiring, demonstrating how AI can work alongside production engineers to revolutionize modular building production.
“The engagement from the audience highlighted the exciting challenges and opportunities DigiTRACKER will explore, not just in construction but across multiple industries.”
Seeking partnership and collaboration
The event also sparked new ideas and potential collaborations, with faculty and students eagerly participating in a robust Q&A session following the presentation.
DigiTRACKER is actively seeking partnerships with industry and government agencies. Those interested in collaborating are encouraged to contact the center’s director, Dr Jiansong (Jason) Zhang, at zhan3062@purdue.edu.
The Purdue Polytechnic Institute is one of 10 academic colleges of Purdue University.
It provides a range of high-technology disciplines for bachelor’s, master’s and PhD degrees at its flagship campus in West Lafayette, Indiana, and nine other locations throughout the state.
Professor Tang is an associate professor in Carnegie Mellon University’s Department of Civil & Environmental Engineering. He founded and directs the Spatiotemporal Workflows & Resilient Management Laboratory (SWARM Lab).
His research explores the remote sensing, human systems engineering, data analytics and information modeling technology to support spatiotemporal analyses needed for predictive management of constructed facilities, workspaces and civil infrastructure systems.