To Örebro University

oru.seÖrebro University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Multirobot System in an Assisted Home Environment to Support the Elderly in Their Daily Lives
Robotics Lab, Universidad Carlos III de Madrid, Avda. de la Universidad, Leganés, Spain.
Department of Automation, Electrical Engineering and Electronics Technology, Universidad Politécnica de Cartagena, Cartagena, Spain.
Robotics Lab, Universidad Carlos III de Madrid, Avda. de la Universidad, Leganés, Spain.
Örebro University, School of Science and Technology. (AI for Life, Centre for Applied Autonomous Sensor Systems (AASS))
Show others and affiliations
2022 (English)In: Sensors, E-ISSN 1424-8220, Vol. 22, no 20, article id 7983Article in journal (Refereed) Published
Abstract [en]

The increasing isolation of the elderly both in their own homes and in care homes has made the problem of caring for elderly people who live alone an urgent priority. This article presents a proposed design for a heterogeneous multirobot system consisting of (i) a small mobile robot to monitor the well-being of elderly people who live alone and suggest activities to keep them positive and active and (ii) a domestic mobile manipulating robot that helps to perform household tasks. The entire system is integrated in an automated home environment (AAL), which also includes a set of low-cost automation sensors, a medical monitoring bracelet and an Android application to propose emotional coaching activities to the person who lives alone. The heterogeneous system uses ROS, IoT technologies, such as Node-RED, and the Home Assistant Platform. Both platforms with the home automation system have been tested over a long period of time and integrated in a real test environment, with good results. The semantic segmentation of the navigation and planning environment in the mobile manipulator for navigation and movement in the manipulation area facilitated the tasks of the later planners. Results about the interactions of users with the applications are presented and the use of artificial intelligence to predict mood is discussed. The experiments support the conclusion that the assistance robot correctly proposes activities, such as calling a relative, exercising, etc., during the day, according to the user's detected emotional state, making this is an innovative proposal aimed at empowering the elderly so that they can be autonomous in their homes and have a good quality of life.

Place, publisher, year, edition, pages
MDPI, 2022. Vol. 22, no 20, article id 7983
Keywords [en]
Ambient Assisted Living (AAL), IoT, Node-RED, ROS, aging, assistive robotics, heterogeneous systems, interoperability, robotic manipulation, smart home, social robots, well-being
National Category
Robotics and automation
Identifiers
URN: urn:nbn:se:oru:diva-101971DOI: 10.3390/s22207983ISI: 000873536500001PubMedID: 36298332Scopus ID: 2-s2.0-85140825541OAI: oai:DiVA.org:oru-101971DiVA, id: diva2:1707037
Note

Funding agency:

Fundacion Seneca 19895/GERM/15

Available from: 2022-10-28 Created: 2022-10-28 Last updated: 2025-02-09Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Calatrava Nicolás, FranciscoMartinez Mozos, Oscar

Search in DiVA

By author/editor
Calatrava Nicolás, FranciscoMartinez Mozos, Oscar
By organisation
School of Science and Technology
In the same journal
Sensors
Robotics and automation

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 98 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf