The confessions of the parishioners to their bartenders are institutionalized in popular culture as the deepest conversations in life, because we know that the alcohol inhibits and allows the tongue to flow.
That is why in Italy they took note of it, and researchers from the University of Naples Federico II in Italy have recently developed a new interactive robotic system called SHINE, a barman droid that in addition to serving your cocktails, you can remember the interactions you had with the client.
“The cocktail bar scenario is extremely difficult to tackle using robots, but it is also very interesting from a research point of view,” said Professor Silvia Rossi, one of the researchers who carried out the study and scientific coordinator of the project. . “In fact, this scenario combines the complexity of efficiently manipulating objects to make drinks with the need to interact with users. Interestingly, however, all current applications of robotics for bartending scenarios ignore the interaction part entirely.”
Silvia Rossi and her colleagues Alessandra Rossi and Nitha Elizabeth John believe that to effectively take on the role of a waiter, a robot must not only be able to interact with humans, but also create a “profile” of users. This would allow you to personalize your interactions with regular customers, increasing the likelihood that they will like and continue to use the robotic bartender service.
“In the end, we believe that a bartender should not only be the one who remembers your tastes, but also your interests and your daily life. Just like human bartenders, they sometimes have to act like close friends,” Rossi said.
SHINE, the bartending robot used by Rossi, Rossi and John consists of a humanoid bust with two robotic arms, which allow the robot to make drinks, and a monitor-based face that can produce different facial expressions.
“Of course, our goal is not to build robotic waiters, but this scenario is a challenging test bed to investigate how a robot can maintain and update a user profile to continuously adapt its interaction with them according to a continuously changing profile” Rossi said. “We believe that this type of customization is the key to the long-term acceptance of robots in our lives and with different service and support roles.”