Personal service: A robot that greets people individually based on observed behavior patterns

Abstract

Abstract-We are developing an interactive service robot which provides personal greetings to customers, using a machine-learning approach based on observations of a customer's appearance or behavior from on-board or environmental sensors. For each visit, several features are recorded, such as "time of day" or "number of people in group." A set of classifiers trained by human coders compare the current features with the person's individual history, to determine an appropriate feature for a robot to speak about. This system enables the robot to make context-appropriate comments such as "good morning, you're here very early today." We present the design of our system and an encouraging set of preliminary prediction results based on one month of data taken from real customers at a shopping mall. IndexTerms-Human-robot interaction, long-term interaction

Synthesizing fuzzy linguistic vocal responses by adapting perception of robot based on visual attention

“…The focus of advanced research studies in designing robotic systems has significantly shifted over the past from industrial task oriented robots to the human friendly robotic systems, which can be used for new areas of robotics applications such as healthcare, caretaking, assistance, edutainment and entertainment [1]- [8]. Human friendly robotic systems should have abilities to interact with humans in more human-like manner.…”