Workshopbeitrag
Human-Centered Optimization of Task Allocation in Multi Human-Robot Systems
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Datum
2023
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GI
Zusammenfassung
In 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.