MIN Faculty
Department of Informatics
Knowledge Technology

Sascha Griffiths

Postdoctoral Research and Teaching Associate of Knowledge Technology Group

Contact Info

Address University of Hamburg
Department of Informatics
Vogt Koelln Str. 30
22527 Hamburg, Germany
Office: F-214
Phone: +49 40 428 83 2522
Fax: +49 40 428 83 2515
Email: griffiths at informatik.uni-hamburg.de



Research Interests

I am a cognitive scientist interested in intelligent social robotics. I understand this area as artificial intelligence + social robotics. I combine a variety of methods from social sciences and cognitive science to the design and evaluation of behaviors for social robots.
There is a growing number of machines in the world that can be called robots. Many of these are now deployed in settings in which they will encounter humans on the one hand and other machines like them on the other hand. This is especially noticeable in the growing market of service robotics, where robots already serve various purposes in hospitals or warehouses, for example. To be able to deal with the challenges of working in such essentially social environments, my research is dedicated to equipping machines with "social intelligence". General areas I am interested in are: In the past, I conducted research within the ITALK project, the ECHORD project and the RoboEarth project. The final demo of the RoboEarth project can be seen here. I was also involved in the CITEC Dialogue Demonstrator. A short demo of the system can be seen here.



Winter Semester 2016/2017
LV 64-124 Proseminar Künstliche Intelligenz Alpay, Griffiths, Wermter
LV 64-750 Lecture Research Methods Magg, Griffiths
LV 64-751 Integrated Practical Course Research Methods Griffiths, Magg
LV 64-466 Master Project Human-Robot Interaction Heinrich, Navarro, Twiefel, Griffiths, Weber, Wermter

For bachelor's or master's theses:
Please contact me regarding possible projects in the areas listed under "Research Interests" and we can discuss your ideas. Currently, I am looking for students who would like to work on natural language generation (NLG), dialogue systems or socially intelligent robots.


Short Curriculum Vitae

Since 08/2016 Postdoctoral Research and Teaching Associate
Knowledge Technology Research Group (WTM), Department of Informatics, University of Hamburg, Germany.
Current role: Programme coordinator of the MSc programme "Intelligent Adaptive Systems"
2014 - 2016 Postdoctoral Research Associate
Cognitive Science Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, UK.
2012 - 2014 Research and Teaching Associate
Robotics and Embedded Systems (I6), Fakultät für Informatik, Technische Universität München, Germany.
2009 - 2012 Research Fellow
Center of Excellence 'Cognitive Interaction Technology' (CITEC), Bielefeld University, Germany.
2006 - 2009 PhD Student,
University of Kent at Canterbury, UK.
2006 M.A. degree (Magister Artium)
Bielefeld University, Germany.


Selected Publications

Churamani, N., Cruz, F. Griffiths, S. &Barros, P. (2016). iCub: Learning Emotion Expressions using Human Reward. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Workshop on Bio-inspired Social Robot Learning in Home Scenarios, Daejeon, Korea.

Perzylo, A., Griffiths, S., Lafrenz, R., & Knoll, A. (2015). Generating Grammars for Natural Language Understanding from Knowledge about Actions and Objects. In Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO). Zhuhai, China.

Griffiths, S., Eyssel, F., Philippsen, A., Pietsch, C., & Wachsmuth, S. (2015). Perception of Artificial Agents and Utterance Friendliness in Dialogue. In M. Salem, A. Weiss, P. Baxter, & K. Dautenhahn (Eds.), Proceedings of the Fourth Symposium on “New Frontiers in Human-Robot Interaction” (pp. 46 – 53). Canterbury, UK: AISB.

Griffiths, S., Voss, L., & Röhrbein, F. (2014). Industry-academia collaborations in robotics: Comparing Asia, Europe and North-America. In 2014 IEEE International Conference on Robotics and Automation (ICRA) (pp. 748–753). Hong Kong: IEEE. http://doi.org/10.1109/ICRA.2014.6906938

Lichtenthäler, C., Peters, A., Griffiths, S., & Kirsch, A. (2013). Social navigation-identifying robot navigation patterns in a path crossing scenario. In International Conference on Social Robotics (pp. 84-93). Springer International Publishing.

Griffiths, S., Nolfi, S., Morlino, G., Schillingmann, L., Kuehnel, S., Rohlfing, K., & Wrede, B. (2012). Bottom-up learning of feedback in a categorization task. In 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL) (pp. 1–6). San Diego, CA: IEEE. http://doi.org/10.1109/DevLrn.2012.6400864