Start date: 01.12.2017
Funded by: Universität Augsburg
Local head of project: Prof. Dr. Elisabeth André
Local scientists: M.Sc. Hannes Ritschel
M.Sc. Andreas Seiderer
M.Sc. Kathrin Janowski


A social robot informs users about the calorie content of the offered drinks. In the process, it learns which strategy is more convincing.


This demonstration was created for the "Lange Nacht der Wissenschaft" ("The Long Night Of Science") which took place on May 5th 2018 in Augsburg.

Here the social robot Reeti serves as a nutrition advisor who informs the user about the calorie content of the offered drinks. By means of custom-made drink holders and an electronic scale the system can detect how much the user drinks of which juice. Based on the amount of calories in the cup a reward is calculated for the information strategy used beforehand, in order to adapt the probability that it is chosen in the future via reinforcement learning. This way the robot is supposed to learn whether the user is convinced more easily by pointing out high or low calories.

In the winter semester of 2018/19 this system was also used to illustrate potential applications of social robots in retirement homes. In the context oft the course "Multimedia 1: Usability Engineering" a group of students presented this recommendation robot in three different retirement homes in the region of Augsburg. Afterwards, they discussed potential uses and the requirements for this technology with the inhabitants and the care staff.

Media Coverage (German)


  • Drink-O-Mender: An Adaptive Robotic Drink Adviser
    Hannes Ritschel, Andreas Seiderer, Kathrin Janowski, Ilhan Aslan, Elisabeth André
    3rd International Workshop on Multisensory Approaches to Human-Food Interaction, 20th International Conference on Multimodal Interaction, 2018