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A Robust and Flexible System Architecture for Facing the RoboCup Logistics League Challenge

2019; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-030-27544-0_40

1611-3349

Thomas Ulz, Jakob Ludwiger, Gerald Steinbauer,

AI-based Problem Solving and Planning

In this paper we present the software architecture of the GRIPS team for addressing the challenges of the RoboCup Logistics League. The guiding principles for the development of the architecture origin in the research focus of the involved institutes on dependable intelligent systems. The architecture enables most flexible planning of the tasks as well as a most reliable execution of the generated task list.