  Autonomous robots and drones will work collaboratively and cooperatively in
tomorrow's industry and agriculture. Before this becomes a reality, some form
of standardised communication between man and machine must be established that
specifically facilitates communication between autonomous machines and both
trained and untrained human actors in the working environment. We present
preliminary results on a human-drone and a drone-human language situated in the
agricultural industry where interactions with trained and untrained workers and
visitors can be expected. We present basic visual indicators enhanced with
flight patterns for drone-human interaction and human signaling based on
aircraft marshaling for humane-drone interaction. We discuss preliminary
results on image recognition and future work.
