Planning in robotics as task-level executive is still an exception rather than the norm. Domains are often too dynamic or complex and therefore developers resort to more reactive or deliberative tools. In this paper, we characterize the RoboCup Logistics League (RCLL) as a medium complex robotics planning domain in terms of domain properties, implementation strategies, and planning models. We propose the RCLL in simulation and on real robots as a suitable testbed for a comparison of planning systems.