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A new patent titled, “Adaptive Cyber Manufacturing (ACM) Through Online Human-AI Partnerships” awarded to Mehrdad Nojoumian, Ph.D., associate professor in the College of Engineering and Computer Science at �����Դ�ɼ���, enables workers to operate manufacturing equipment remotely using sensors, cameras and real-time communication platforms, allowing humans and AI-driven systems to collaborate seamlessly on complex tasks from off-site locations.

Designed for extended, real-world use, the system dynamically adapts tasks and workloads based on individual performance and experience, while predictive models minimize delays in human-machine interactions. This approach supports a more flexible, distributed manufacturing model, helping organizations retain advanced capabilities domestically while accessing a broader global workforce. By combining AI, machine learning and adaptive remote control, ACM creates a safer, more efficient and inclusive workplace – paving the way for human-robot collaboration while keeping high-value manufacturing jobs in industrial countries without sacrificing productivity and cost.

“Advancing human-AI collaboration in manufacturing is essential to building systems that are responsive to real-world conditions,” said Stella Batalama, Ph.D., dean of the College of Engineering and Computer Science. “The future of manufacturing will be driven by intelligent systems that adapt to people – enhancing performance while maintaining human oversight in complex decision-making.”

Read the press release.