Abstract
The design and implementation of Robotic process automation (RPA) requires an architecture where there is seamless coordination between humans, robotic agents, and intelligent agents automating information acquisition tasks and decision-making tasks. Effective coordination of agents would need to consider the efficiency of different types of resources in completing tasks, the quality when handling complex tasks, and the cost of resources executing the task. In this work, a novel approach for generating an optimal architecture considering distinct types of resources that include human, intelligent and robotic agents is proposed. An optimal architecture is the optimal enactment of process instances executed by a combination of human and automation agents based on their characteristics. The architecture considers resources, resource types, and their characteristics that meet multiple objectives of process execution.
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Mahala, G., Sindhgatta, R., Dam, H.K., Ghose, A. (2020). Designing Optimal Robotic Process Automation Architectures. In: Kafeza, E., Benatallah, B., Martinelli, F., Hacid, H., Bouguettaya, A., Motahari, H. (eds) Service-Oriented Computing. ICSOC 2020. Lecture Notes in Computer Science(), vol 12571. Springer, Cham. https://doi.org/10.1007/978-3-030-65310-1_32
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