A novel greeting selection system for a culture-adaptive humanoid robot

Gabriele Trovato, Massimiliano Zecca, Martin Do, Ömer Terlemez, Masuko Kuramochi, Alexander Waibel, Tamim Asfour, Atsuo Takanishi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


Robots, especially humanoids, are expected to perform human-like actions and adapt to our ways of communication in order to facilitate their acceptance in human society. Among humans, rules of communication change depending on background culture: greetings are a part of communication in which cultural differences are strong. Robots should adapt to these specific differences in order to communicate effectively, being able to select the appropriate manner of greeting for different cultures depending on the social context. In this paper, we present the modelling of social factors that influence greeting choice, and the resulting novel culture-dependent greeting gesture and words selection system. An experiment with German participants was run using the humanoid robot ARMAR-IIIb. Thanks to this system, the robot, after interacting with Germans, can perform greeting gestures appropriate to German culture in addition to a repertoire of greetings appropriate to Japanese culture.

Original languageEnglish
JournalInternational Journal of Advanced Robotic Systems
Publication statusPublished - 2015 Apr 10


  • Adaptive human robot interaction
  • Culturally aware robotics
  • Gestures
  • Humanoids
  • Online learning
  • Social robotics

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Artificial Intelligence


Dive into the research topics of 'A novel greeting selection system for a culture-adaptive humanoid robot'. Together they form a unique fingerprint.

Cite this