In this paper, we investigate simple attentional mechanisms suitable for sensing rate regulation and action coordination in the presence of mutually dependent behaviors. We present our architecture along with a case study where a real robotic system is to manage and harmonize conflicting tasks. This research focuses on attentional mechanisms for regulating the frequencies of sensor readings and action activations in a behavior-based robotic system. Such mechanisms are to direct sensors toward the most salient sources of information and filter the available sensory data to prevent unnecessary information processing.