In line with a human-centric smart manufacturing vision, human-robot collaboration is
striving to combine robots' high efficiency and quality with humans' rapid adaptability and …

With the development of computer, automation and information technology, workers have
more challenges to take care of several devices at the same time. Under this situation …

Rotating machinery is one of the most common components in the industry. Therefore, timely
and accurate fault diagnosis of rotating machinery is essential for the regular operation of …

Cyber-physical production systems provide a flexible and open mechanism for
manufacturing process scheduling and control, and they also offer an opportunity to further …

An adaptive machine learning (ML) based smart manufacturing interactive cyber physical
human system (ICPHS) is conceptualized, designed, and implemented. One of its significant …

The challenge of sustainably producing goods and services for healthy living on a healthy
planet requires simultaneous consideration of economic, societal, and environmental …

In this paper, we describe specific deployments of the Smart Connected Worker (SCW) Edge
Platform for Smart Manufacturing through implementation of four instructive real‐world use …

This chapter describes an adaptive machine learning (ML) method for the utilization of
unlabeled data for continual model adaptation after deployment. Current methods for the …

Machine Learning (ML) has been demonstrated to improve productivity in many
manufacturing applications. To host these ML applications, several software and Industrial …

The capability to adapt to dynamic environments and changes in data distribution is
essential for the development of adaptive artificial intelligence (AI) systems that can operate …