The latest generation of WiFi technology, known as mmWave WiFi, utilizes comparatively higher frequencies than traditional WiFi. To combat high signal attenuation at mmWave frequencies, mmWave WiFi utilizes directional transmission and reception of signals. By utilizing directional communication at high frequencies, and in contrast to omni-directional and low-frequency traditional WiFi technologies, mmWave WiFi can deliver tens of gigabits per second bitrates required by various ground-breaking applications (e.g., virtual reality and aerial wireless networks). To establish strong communication links, in mmWave WiFi the directions of transmit and receive beams must be properly aligned, which is a process known as beam-steering. The current beam-steering mechanisms do not perform well under in dynamic conditions, i.e., when the communicating devices are mobile or if there are humans obstructing the communication. Therefore, there is a need for developing new beam-steering mechanisms that will be able to mitigate these negative effects. Consequently, experimental evaluation of these newly developed mechanisms will be required in order to benchmark their performance against the existing ones. To guarantee fair comparative benchmarking, there is a need for highly repeatable experimentation, i.e., different instances of an experiment must be performed in a way that preserves all experimental conditions (apart from exchanging the beam-steering mechanisms), pertaining primarily to the repeatable mobility patterns of the communicating devices, as well as the mobility patterns of humans causing obstacles. Such conditions cannot be achieved if humans are involved in the experimentation, either as carriers of devices or as obstacle generating factor. To alleviate these issues, we will develop a testbed infrastructure for fully repeatable mmWave WiFi experimentation with device mobility and moving obstacles. The repeatability will be guaranteed by utilizing drones as the carriers of mmWave WiFi devices and a combination of a robotic mobility platform and mannequin resembling a moving human-like obstacle. Once developed, this testbed infrastructure will increase the visibility of our university to a large heterogeneous audience and allow as to kick-start our research activities in the highly-promising mmWave WiFi domain. In addition, the testbed will be convenient for a broad range of experimentation with mobile wireless infrastructures going beyond the scope of the initially envisioned beam-steering in mmWave WiFi experimentation.