Digital Twin for Designing and Reconfiguring Human–Robot Collaborative Assembly Lines

This paper discusses a digital twin-based approach for designing and redesigning flexible assembly systems. The twin allows modeling the parameters of production system at different levels including process, station, line level. dynamically updating in runtime, synthesizing data from multiple 2D–3D sensors order to have up-to-date information about actual process. model integrates both geometrical semantics. is used combination with an artificial intelligence logic derive alternative configurations system. overall discussed help case study coming automotive industry. introduces integrating humans autonomous mobile dual arm workers.