DEVI: Open-source Human-Robot Interface for Interactive Receptionist Systems

TL;DR

DEVI is an open-source framework enabling customizable, cost-effective humanoid robot receptionists with social skills, capable of interaction, recognition, and self-learning, demonstrated through a physical prototype.

Contribution

This paper introduces DEVI, an open-source, adaptable platform for developing social robot receptionists, addressing cost and customization limitations of existing systems.

Findings

Effective directional guidance and interaction demonstrated

Successful face recognition and greeting of known individuals

Self-learning neural network enables database registration

Abstract

Humanoid robots that act as human-robot interfaces equipped with social skills can assist people in many of their daily activities. Receptionist robots are one such application where social skills and appearance are of utmost importance. Many existing robot receptionist systems suffer from high cost and they do not disclose internal architectures for further development for robot researchers. Moreover, there does not exist customizable open-source robot receptionist frameworks to be deployed for any given application. In this paper we present an open-source robot receptionist intelligence core -- "DEVI"(means 'lady' in Sinhala), that provides researchers with ease of creating customized robot receptionists according to the requirements (cost, external appearance, and required processing power). Moreover, this paper also presents details on a prototype implementation of a physical robot using the DEVI system. The robot can give directional guidance with physical gestures, answer basic queries using a speech recognition and synthesis system, recognize and greet known people using face recognition and register new people in its database, using a self-learning neural network. Experiments conducted with DEVI show the effectiveness of the proposed system.