The service stability of industrial robots (IRs) is considered the basis for ensuring intelligent
manufacturing operations. Knowledge-based work plays a central role in the practical …

Collaborative robotics possesses the potential to revolutionise industrial automation by
offering affordable and accessible solutions with reasonable skill requirements. However …

The need to improve motion planning techniques for manipulator robots, and new effective
strategies to manipulate different objects to perform more complex tasks, is crucial for …

For effective human–robot collaborative assembly, it is paramount to view both robots and
humans as autonomous entities in that they can communicate, undertake different roles, and …

Abstract Industry 4.0 (I4. 0) has been characterized by the increasing use of automation,
artificial intelligence, and big data in manufacturing. It has brought different machines, tools …

The ongoing industrial revolution termed Industry 4.0 (I4. 0) has borne witness to a series of
profound changes towards increasing smart automation, particularly in the industrial sectors …

Parameter identification of the dynamic model of collaborative robots is the basis of the
development of collaborative robot motion state control, path tracking, state monitoring, fault …

Robotic manipulation in semi-structured environments require perception, planning and
execution capabilities to be robust to deviations and adaptive to changes, and knowledge …

The advent of smart manufacturing (SM) has led to the creation of collaborative
environments with cyber-physical systems (CPS) that generate added value. However, the …

In the future, robots are expected to autonomously interact and/or collaborate with humans,
who will increase the uncertainty during the execution of tasks, provoking online adaptations …