Predicting the Intention to Interact with a Service Robot: the Role of Gaze Cues
Simone Arreghini,Gabriele Abbate,Alessandro Giusti,Antonio Paolillo,Simone Arreghini,Gabriele Abbate,Alessandro Giusti,Antonio Paolillo
For a service robot, it is crucial to perceive as early as possible that an approaching person intends to interact: in this case, it can proactively enact friendly behaviors that lead to an improved user experience. We solve this perception task with a sequence-to-sequence classifier of a potential user intention to interact, which can be trained in a self-supervised way. Our main contribution is ...
