In robotics, automated task planning is still the exception rather than the norm. While generating a plan certainly represents a crucial aspect, another often neglected one, in particular relevant to integration in robotics, is the task-level executive. It forms the coherent behavior out of the determined plan to achieve the mission goals. This work presents first results towards the integration of a knowledge-based plan executive. This work is embedded in a project to generate guaranteed-quality plans based on Satisfiability Modulo Theory (SMT) in industrial scenarios. The initial prototype is integrated based on the scenario of logistics robots in simulation.