In human-robot interaction, it is important for the robots to adapt to
our ways of communication. As humans, rules of non-verbal communication,
including greetings, change depending on our culture. Social robots should
adapt to these specific differences in order to communicate effectively, as a correct
way of approaching often results into better acceptance of the robot. In this
study, a novel greeting gesture selection system is presented and an experiment
is run using the robot ARMAR-IIIb. The robot performs greeting gestures appropriate
to Japanese culture; after interacting with German participants, the selection
should become appropriate to German culture. Results show that the
mapping of gesture selection evolves successfully
