Safari Dehnavi, ZahraSchlund, Sebastian2023-08-242023-08-242023https://dl.gi.de/handle/20.500.12116/42147In industrial settings, multi-human-robot systems are common. Enhancing work systems requires considering human factors in task allocation between humans and robots. This paper highlights the significance of human-centric task allocation in multi agent settings. The research tackles three challenges in optimized task allocation: complex optimization models with machine learning algorithms, accurate representation of human factors, and effective human-robot interfaces. Overcoming these challenges is vital for improving productivity and well-being of human workers.Task allocationMulti-human-robot task sharingAIhuman-centeredText/Workshop Paper10.18420/muc2023-mci-ws16-398