Abstract

Recent studies in social robotics show that it can provide economic efficiency and growth in domains such as retail, entertainment, and active and assisted living (AAL). Recent work also highlights that users have the expectation of affordable social robotics platforms, providing focused and specific assistance in a robust manner. In this paper, we present the AMIRO social robotics framework, designed in a modular and robust way for assistive care scenarios. The framework includes robotic services for navigation, person detection and recognition, multi-lingual natural language interaction and dialogue management, as well as activity recognition and general behavior composition. We present AMIRO platform independent implementation based on a Robot Operating System (ROS). We focus on quantitative evaluations of each functionality module, providing discussions on their performance in different settings and the possible improvements. We showcase the deployment of the AMIRO framework on a popular social robotics platform—the Pepper robot—and present the experience of developing a complex user interaction scenario, employing all available functionality modules within AMIRO.

Highlights

  • Assistive Robotics [1] refers to robots that are meant to assist people in a manner that focuses on social interactions

  • We focus on addressing three research aspects which are of relevance in the social robotics domain

  • The Smart Environment and Health Management module sends an alert to the robot about the temperature in the environment

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Summary

Introduction

Assistive Robotics [1] refers to robots that are meant to assist people in a manner that focuses on social interactions (e.g., speaking, guiding, reminding, observing, and entertaining). One of the most focused domains of application for socially assistive robots ( referred to as companion robots) is that of supporting the elderly population, people who are living alone or in care institutions, as well as those who are affected by medical conditions which warrant a closer monitoring of daily habits. The Active and Assisted Living (AAL) domain, which concerns itself with developing technology to support the needs of the aforementioned aging population, is actively sustaining development of the capabilities of companion robots. The robot may be tasked with facilitating telepresence, proactive notifications and reminders for medication or health related measurements, cognitive (e.g., through cognitive exergames) or informational support

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