The AMIRO Social Robotics Framework: Deployment and Evaluation on the Pepper Robot
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 specifi...
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Format: | Article |
Language: | English |
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MDPI AG
2020-12-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/20/24/7271 |
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author | Alexandra Ștefania Ghiță Alexandru Florin Gavril Mihai Nan Bilal Hoteit Imad Alex Awada Alexandru Sorici Irina Georgiana Mocanu Adina Magda Florea |
author_facet | Alexandra Ștefania Ghiță Alexandru Florin Gavril Mihai Nan Bilal Hoteit Imad Alex Awada Alexandru Sorici Irina Georgiana Mocanu Adina Magda Florea |
author_sort | Alexandra Ștefania Ghiță |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-10T13:57:59Z |
format | Article |
id | doaj.art-470ef8f0a239482bbccddf4d9665fd6c |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T13:57:59Z |
publishDate | 2020-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-470ef8f0a239482bbccddf4d9665fd6c2023-11-21T01:26:53ZengMDPI AGSensors1424-82202020-12-012024727110.3390/s20247271The AMIRO Social Robotics Framework: Deployment and Evaluation on the Pepper RobotAlexandra Ștefania Ghiță0Alexandru Florin Gavril1Mihai Nan2Bilal Hoteit3Imad Alex Awada4Alexandru Sorici5Irina Georgiana Mocanu6Adina Magda Florea7Faculty of Automatic Control and Computers, University POLITEHNICA of Bucharest, 060042 Bucharest, RomaniaFaculty of Automatic Control and Computers, University POLITEHNICA of Bucharest, 060042 Bucharest, RomaniaFaculty of Automatic Control and Computers, University POLITEHNICA of Bucharest, 060042 Bucharest, RomaniaFaculty of Automatic Control and Computers, University POLITEHNICA of Bucharest, 060042 Bucharest, RomaniaFaculty of Automatic Control and Computers, University POLITEHNICA of Bucharest, 060042 Bucharest, RomaniaFaculty of Automatic Control and Computers, University POLITEHNICA of Bucharest, 060042 Bucharest, RomaniaFaculty of Automatic Control and Computers, University POLITEHNICA of Bucharest, 060042 Bucharest, RomaniaFaculty of Automatic Control and Computers, University POLITEHNICA of Bucharest, 060042 Bucharest, RomaniaRecent 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.https://www.mdpi.com/1424-8220/20/24/7271social robotsrobotic sensingactivity recognitionnatural language processingvoice commandsactive and assisted living |
spellingShingle | Alexandra Ștefania Ghiță Alexandru Florin Gavril Mihai Nan Bilal Hoteit Imad Alex Awada Alexandru Sorici Irina Georgiana Mocanu Adina Magda Florea The AMIRO Social Robotics Framework: Deployment and Evaluation on the Pepper Robot Sensors social robots robotic sensing activity recognition natural language processing voice commands active and assisted living |
title | The AMIRO Social Robotics Framework: Deployment and Evaluation on the Pepper Robot |
title_full | The AMIRO Social Robotics Framework: Deployment and Evaluation on the Pepper Robot |
title_fullStr | The AMIRO Social Robotics Framework: Deployment and Evaluation on the Pepper Robot |
title_full_unstemmed | The AMIRO Social Robotics Framework: Deployment and Evaluation on the Pepper Robot |
title_short | The AMIRO Social Robotics Framework: Deployment and Evaluation on the Pepper Robot |
title_sort | amiro social robotics framework deployment and evaluation on the pepper robot |
topic | social robots robotic sensing activity recognition natural language processing voice commands active and assisted living |
url | https://www.mdpi.com/1424-8220/20/24/7271 |
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