Nikos Dimitropoulos, Michalis Kaipis, Stavros Giartzas, George Michalos (2)
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Generative AI for automated task modelling and task allocation in human robot collaborative applications
Task modelling and assignments generation is a complex and time-consuming activity despite the availability of modern CAx and planning tools. This paper proposes an AI based framework using Large Multi-Modal Models and a Digital Twin to automatically create task models, sequences and assignment plans through the processing of video streams involving visual and audio cues on the recorded resources, tools, and tasks. The same LMMs perform the task-to-resource allocation considering metrics such as human factors and resource workload. A case study on the assembly of white goods showcases reduction in manual planning, enhanced resources utilization and improved human-robot collaborative applications.
期刊介绍:
CIRP, The International Academy for Production Engineering, was founded in 1951 to promote, by scientific research, the development of all aspects of manufacturing technology covering the optimization, control and management of processes, machines and systems.
This biannual ISI cited journal contains approximately 140 refereed technical and keynote papers. Subject areas covered include:
Assembly, Cutting, Design, Electro-Physical and Chemical Processes, Forming, Abrasive processes, Surfaces, Machines, Production Systems and Organizations, Precision Engineering and Metrology, Life-Cycle Engineering, Microsystems Technology (MST), Nanotechnology.