The competencies of the research group are: production digitalisation, virtualisation, simulation, development of digital twins, reconfiguring manufacturing from conventional machining technologies to 3D related.<\/p>\n
Main results: An approach was proposed to develop a Digital Twin of production systems in order to optimize the planning and commissioning process. The proposed virtual cell interacts with the physical system with the help of different Digital Manufacturing Tools (DMT), which allows for the testing of various programs in a different scenario to check for any shortcomings before it
\nis implemented on the physical system. Case studies from the different production systems were demonstrated to realize the feasibility of the proposed approach. Based on the concept of Industry 5.0, it is important to integrate the human operator, especially using virtual and augmented reality tools.<\/p>\n
Corresponding tests have been carried out both in terms of the user interface and medical indications. Development of an integrated and recursive artificial intelligence-based decision-making process for robotic workplace design and performance evaluation has been performed.<\/p>\n
A User-Centred Design approach was implemented, which is crucial in addressing the open challenges of Human-Robot Collaboration systems. Our work allocates Digital Twins and Augmented and Virtual Reality technologies (AR\/VR) as central in this process by considering them as the key tools for the design, control, and assessment of modern collaborative industrial scenarios. It aims at assessing three types of input paradigms with virtual user Interfaces controlling a Digital Twin robot arm in a simple pick and place task and which can be based on different VR controller devices.<\/p>\n
digital manufacturing\u200b, digital twins, industry 4.0\/5.0, manufacturing, \u200bsmart manufacturing<\/p>\n","protected":false},"template":"","tags":[1554,1555,1627,1664,1773],"research_cat":[2056],"class_list":["post-5472","research","type-research","status-publish","hentry","tag-digital-manufacturing","tag-digital-twins","tag-smart-manufacturing","tag-industry-4-0-5-0","tag-manufacturing","research_cat-faculty-of-engineering"],"acf":{"research_manager":5009,"related_team":[4658,4376,4783,4820,4723,4819,4340,4339,5008,4978,2764,5055,17714]},"yoast_head":"\n