Personalized Human-Robot Interaction with a Robot Bartender

What is it about?

Personalization of robotic systems are essential to develop and maintain a decorous bond with the interacting user in human-centric robotic applications, such as in a service domain. Such service robots must be capable enough to educe what actions would be the most desirable and best serve their user. Inorder to induce personalization in service robots, the human-robot interaction (HRI) system should entail sophisticated methodologies for identifying differences within the focused group of users, creating a relative user model representation, and finally, devising the varieties of the robot’s behaviors. In this work, we briefly present the multiple methodologies developed for an autonomous bartender robot to personalize its behaviors upon the customers’ moods, attention behaviors, purchasing preferences, personal preferences for interaction, and previous interaction strategies. In addition, our robot has been endowed with the ability to engage multiple users by alternating its attention between them, and personalizing enjoyable interactions through small talks.

Featured Image

Photo by Andy Kelly on Unsplash

Photo by Andy Kelly on Unsplash