… • To evaluate the practical performance of the proposed resource scheduler in cloud-edge-client
collaborative learning, we design a medical human-robot collaboration task as a case …

… proposes an intelligent Digital-Twin-based safe human–robot collaboration framework. A …
deep learning-enhanced Digital Twin framework for monitoring the human–robot collaboration …

… collaborative robot using the two digital twin models: human cyber-physical system (CPS) …
digital twin and collaborative robot digital twin. Fig. 1 (b) shows the teaching of a collaborative …

… A key problem in human robot collaboration is a safe … machine learning to enable industrial
robots to bypass obstacles or people in the workspace is presented. First, a machine learning…

… user with a digital twin of the physical … digital twin robot are designed to be identical to the
physical model. In this mode, the user ′ s teleoperation commands are sent to the digital twin …

… collaborative machine learning models. Thus, FL can significantly lower the privacy risks in
collaborative … to propose a novel collaborative learning framework with city DT embedding. …

… of Digital Twin (DT) in the industrial field, the application of DT in the field of education is
still in its infancy. In this paper, a Digital Twin Campus (DTC) for teaching and learning is …

… for cross-domain device collaborative learning. List the critical … decentralized asynchronous
collaborative learning algorithm… the asynchronous collaborative learning algorithm proposed …

… This paper introduces a learning platform that is designed in compliance with ISO 10015 to
… This active learning platform is called ADEPP Skill 4.0 and provides collaborative learning …

… -aware HRC using deep learning and digital twin generation. The … In addition, deep
learning-based instance segmentation is … between the real robot and the real robot's digital twin. …