Affected by COVID-19, the maintenance process of machine tools is significantly hindered,
while unmanned maintenance becomes an emerging trend in such background. So far …

Vision-guided learning for autonomous robotic manipulations is a wide-ranging and high-
impact topic in the context of smart manufacturing. Most learning strategies are object …

Smart manufacturing or Industry 4.0, a trend initiated a decade ago, aims to revolutionize
traditional manufacturing using technology driven approaches. Modern digital technologies …

Semantic representation of motions in a human-robot collaborative environment is essential
for agile design and development of digital twins (DT) towards ensuring efficient …

Digital Twin technology has been widely applied in various industry domains. Modern
industrial systems are highly complex consisting of multiple interrelated systems …

Digital twins have revolutionized manufacturing and maintenance, allowing us to interact
with virtual yet realistic representations of the physical world in simulations to identify …

The situation awareness, especially for collaborative robots, plays a crucial role when
humans and machines work together in a human-centered, dynamic environment. Only …

This chapter presents a Digital Twin Pipeline Framework of the COGNITWIN project that
supports Hybrid and Cognitive Digital Twins, through four Big Data and AI pipeline steps …

Robotic machining is a potential method for machining large-scale components (LSCs) due
to its low cost and high flexibility. However, the low stiffness of robots and complex …

A digital twin (DT) is an effective means of achieving physical and information fusion and
has great potential for achieving a new paradigm of cutting process (CP) intelligence. This …