CORDIS

EU research results

CORDIS

GrowMeUp

Fact Sheet

Result in Brief

Reporting

Results

Project information

GrowMeUp

Grant agreement ID: 643647

Project website

Start date

1 February 2015
End date

31 January 2018

Funded under:

H2020-EU.3.1.4.

Overall budget:

€ 3 415 930
EU contribution

€ 2 790 430

Coordinated by:

UNIVERSIDADE DE COIMBRA

Portugal

Objective

GrowMeUp’s main aim is to increase the years of independent and active living, and the quality of life of older persons (age of 65+) with light physical or mental health problems who live alone at home and can find pleasure and relief in getting support or stimulation to carry out their daily activities over the ageing process. GrowMeUp will provide an affordable service robotic system able to learn the older persons needs and habits over time and enhance (‘grow up’/scale up) its functionality to compensate for the elder’s degradation of abilities, to support, encourage and engage the older persons to stay longer active, independent and socially involved, in carrying out their daily life at home. State of the art cloud computing technologies and machine learning mechanisms will be used, enabling the GrowMeUp robot to extend and increase its knowledge continuously over time. Robots will share and distribute their knowledge through the cloud, so that other “connected” robots can learn from each other's experience, increasing thus their functionality/competencies and simultaneously reduce learning effort. Implicit daily activities support will be provided in a human like way characterized by behaviour and emotional understanding, intelligent dialoguing and personalized services provision. GrowMeUp will be introduced early enough to the elder person, creating thus a positive long-term relationship between the elder and the robot, considering persons as active collaborators with whom the robot can interact, so as to increase its knowledge about their personalized needs. Furthermore, the robot will be connected to a virtual care network that will provide for continuous care, but also motivation and education to the older persons of how to best use the platform. A group of relevant stakeholders will use the system over a nine month pilot period. The goal is to achieve global leadership in advanced solutions supporting active and healthy ageing.

Field of Science

/natural sciences/computer and information sciences/artificial intelligence/machine learning

Programme(s)

H2020-EU.3.1.4. - Active ageing and self-management of health

Topic(s)

PHC-19-2014 - Advancing active and healthy ageing with ICT: service robotics within assisted living environments

Call for proposal

H2020-PHC-2014-single-stage

See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Leaflet | Map data © OpenStreetMap contributors, Credit: EC-GISCO, © EuroGeographics for the administrative boundaries

Coordinator

UNIVERSIDADE DE COIMBRA

Address

Paco Das Escolas
3001 451 Coimbra

Portugal

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 412 250

Website

Contact the organisation

Participants (7)

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UNIVERSITE DE GENEVE

Switzerland

STICHTING ZUYDERLAND ZORG

Netherlands

EU Contribution

€ 466 055

UNIVERSITY OF CYPRUS

Cyprus

EU Contribution

€ 524 000

PAL ROBOTICS SL

Spain

EU Contribution

€ 345 000

PROBAYES SAS

France

EU Contribution

€ 344 500

CITARD SERVICES LTD

Cyprus

EU Contribution

€ 449 250

CARITAS DIOCESANA DE COIMBRA

Portugal

EU Contribution

€ 249 375

Project information

GrowMeUp

Grant agreement ID: 643647

Project website

Start date

1 February 2015
End date

31 January 2018

Funded under:

H2020-EU.3.1.4.

Overall budget:

€ 3 415 930
EU contribution

€ 2 790 430

Coordinated by:

UNIVERSIDADE DE COIMBRA

Portugal

Project information

GrowMeUp

Grant agreement ID: 643647

Project website

Start date

1 February 2015
End date

31 January 2018

Funded under:

H2020-EU.3.1.4.

Overall budget:

€ 3 415 930
EU contribution

€ 2 790 430

Coordinated by:

UNIVERSIDADE DE COIMBRA

DE EN ES FR IT PL

Grown-ups with supportive robots

Robots will be a necessity with the ageing population needing assistance to improve their mobility. On the long road to help seniors maintain their life quality, EU researchers have developed a unique prototype robot.

In 2016, Eurostat, the statistical office of the European Union, estimated that nearly one fifth of Europe’s population was 65 years or older. To tackle this continuing massive demographic change, the GrowMeUp project has developed affordable robotic technology. The aim was to connect the elderly to a virtual care network and provide support for personal and care tasks to ensure their well-being and safety. The result is the robot GrowMu. “While there are other autonomous robots and systems, GrowMeUp research results have advanced well beyond those of other predecessor projects,” comments project coordinator, Professor Jorge Dias. GrowMu grows and develops as it supports GrowMeUp developed advanced algorithms so GrowMu can adapt to changes and behaviour of the elderly to capture their routine. This means the robot can detect situations that could be improved upon and act in the case of danger such as a call for appropriate help. Scenarios needing attention range from suggestions for new recipes to a warning that a step is likely to cause a fall. “Adaptive learning and multi-objective decision-making algorithms work so the robot can learn from the user’s speech and behaviour patterns and recognise when circumstances require action,” explains Prof. Dias. For example, through facial recognition and oral dialogues, GrowMu can remember a person’s needs such as the week’s planned events and remind the senior accordingly. As GrowMu ‘grows’ with the senior cared for as well as other users, the robot can suggest modifications to lifestyle that help to sustain, and even improve life quality. Examples could be to outline an exercise regime and arrange events for socialisation purposes. Cloud connection - the ultimate in network services All the functions of GrowMu are linked to the cloud. The seemingly infinite amount and type of downloadable data that can be accessed includes patient’s reminders to take the correct medicine at the right time. The social care network accessible is composed of other older people, family, friends, neighbours and formal carers. Not only does the cloud knowledge base integrate the older person with their social network and supporting care, it supplies a set of daily activity services designed to fit the specific needs of the individual. The technology and seniors, are they ready for each other? As Prof. Dias points out, “We have definitely brought social robots closer to society. With intelligent dialogue, older people can effortlessly and intuitively interact with the system using natural speech.” The GrowMeUp project has shown that robots can use contextual information to adapt its interaction and discourse. Moreover, the results show the increasing acceptance of social robots by the elderly. As Prof. Dias recalls at one test with a group of older people, “Well, they were not just ready; they got involved and started making suggestions.” Thrilled, the researchers went back to the labs to redesign, redevelop, retest and returned with an improved system for a much more positive reaction. Robots step towards society’s door Major technological barriers are mobility safety and the speech-based interaction. Other confounding issues are high cost and the legal framework that is still in its infancy. Realistically speaking, it will be four to six years before the first commercial robots can really support people in their daily life in a robust and completely safe way. Doubtless there is a market if economic health agents can be convinced that this technology can profitably address the challenges of the elderly at home. The European Commission and the European Innovation Partnership on Active and Healthy Ageing have been working on ideas and solutions to tackle issues like standardisation, legislation and certification. Summing up, Prof. Dias notes, “We hope we can swiftly progress on these matters, because robots are knocking on society’s door.”

Keywords

GrowMeUp, robot, GrowMu, elderly, system, cloud

Project information

GrowMeUp

Grant agreement ID: 643647

Project website

Start date

1 February 2015
End date

31 January 2018

Funded under:

H2020-EU.3.1.4.

Overall budget:

€ 3 415 930
EU contribution

€ 2 790 430

Coordinated by:

UNIVERSIDADE DE COIMBRA

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Project information

GrowMeUp

Grant agreement ID: 643647

Project website

Start date

1 February 2015
End date

31 January 2018

Funded under:

H2020-EU.3.1.4.

Overall budget:

€ 3 415 930
EU contribution

€ 2 790 430

Coordinated by:

UNIVERSIDADE DE COIMBRA

Portugal

Periodic Reporting for period 3 - GrowMeUp (GrowMeUp)

Reporting period: 2017-02-01 to 2018-01-31

Summary of the context and overall objectives of the project

The GrowMeUp system is an affordable robotic platform, whose purpose is to increase the years of independence, active living and the quality of life of older persons with light physical or mental health problems who live alone at home. The system will be able to learn older persons needs and habits over time to enhance existing or learn new services, with the purpose of efficiently compensate for older persons capabilities degradation and to gradually adapt its interaction over time. The system will be introduced early enough to the elderly, with the aim of creating a positive long-term relationship between the older person and the robot, considering friends, family and caregivers as active collaborators with whom the robot can interact with. The robot is connected to a virtual care network that provides for continuous care, motivation and education to the older persons of how to best use the platform. The four key innovations are as follows:

Cloud Technologies aims:
• To enable different robots to share knowledge continuously and extend their capabilities with reduced effort;
• To capitalize on information made available from other robots, from the elderly or from caregivers;
• To reduce the computational burden on the robot, relieving more demanding tasks from the robot.

Behavior and Emotional Understanding aims:
• To create a scalable and adaptable mathematical model of the elderly typical behavior;
• To enable the system to predict and identify erroneous situations, triggering timely and appropriate services;
• To empower elderly people with a better management of their lives;
• To understand the elderly and provide adequate motivation and guidance on their daily tasks;

Intelligent Dialoguing aims:
• To enable older people to effortlessly and intuitively interact with the system using natural dialogues;
• To understand elderly and use context information so that the robot is able to adapt its interaction and discourse;
• To increase the acceptance by elderly people;

Personalized care aims:
• To provide a set of services that are served differently to all users, according to their preferences and profiles;
• To create a positive long-term relationship between the elderly and the robot, empowering the older person with a personalized robot companion and assistant;
• To foster the integration of the older person within its social circles through the virtual care team network.

All participants in the GrowMeUp interdisciplinary consortium (Figure 1) collaborate in complementary national and international networks, including EU funded projects. These will provide a platform for the continuous exchange of cutting-edge results and novel ideas in these research areas. Moreover, members of the consortium have bilateral collaborations with (non-) European research groups and companies. This illustrates that the present project will be embedded in a broad research network of on-going collaborations on topics of high relevance to the project.

Figure 1: GrowMeUp Consortium at Zuyderland Facilities during the Kick-Off Meeting

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

The prototypes of the robotic platform are at elderly homes and care centres in Portugal and in the Netherlands (Caritas and Zuyderland end-users respectively). The Cloud Knowledge-base is hosted at University of Cyprus servers, which exposes all necessary methods to interact with the database, but also some of the services such as medication and agenda management or notifications. An existing platform has been enhanced to accommodate the requirements of the GrowMeUp project. The enhancements are divided in three different areas of intervention: 1) aesthetic; 2) Human-Robot Interaction (HRI) hardware; 3) External Sensor Networks connecting to the robot. Bellow, the GrowMeUp robotic platform is illustrated in Figure 2.

Figure 2: GrowMeUp robotic platform external appearance.

The robotic platform is equipped with an intelligent dialoguing system that allows elderly to interact with the robot in an effortless and natural fashion. We continuously tested the robot dialogue interface with the Google Cloud API for speech recognition and the Cerevoice speech synthesizer that were using in both Portuguese and Dutch Trial sites with positive feedback from users. The robot is able to perceive information from the interaction with the user, triggering different responses from the system to the user, mainly through different service categories: Care & Wellness, Guidance and Education/Leisure. Information coming from an external sensors, from the cloud knowledge base and from the robot itself is also taken into consideration in the process of understanding the elderly needs. This understanding is enabled thanks to a set of learning mechanisms enable a robot to learn new objects, new users and algorithms for detecting falls or selecting appropriate services from the cloud. This makes the robot equipped to respond specifically to each older persons needs according to her/his preferences and needs.

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

The main goal of the GrowMeUp project is to increase the independence and quality of life of elderly persons at their homes, with three main socio-economic impacts: 1) increase the usability and acceptance of ICT robotic technologies by society in general and the ageing population in particular; 2) increase the sustainability of the care system by providing a system that is expected to optimize the need for care support and to help elderly people to live independently and be active until latter stages of their lives; 3) create and promote new products and services within different market segments within the AAL domain, where the 3 industry partners have specific interests in different outcomes of the project. More specifically PAL robotics in the area of social robotic platforms, Citard Services within the area of ICT service provisions and cloud technologies and finally ProbaYes is interested in entering the AAL market with learning algorithms applicable to different AAL systems.

The robotic platform was validated through the execution of 9 use cases at participant end-users. Quantitative analysis of results indicate that both older persons and formal / informal caregivers find the robot useful and motivating towards a more independent and active life. However, we found that advances are still needed to achieve full autonomy, specifically in terms of the maturity of Navigation technologies in highly cluttered environments with low-cost hardware and additional dialogue workflow improvements in crowded environments.

Figure 3: Robots working at each of the end-users.

Please visit our project public website:

http://www.growmeup.eu

List of partners and main contacts:

UNIVERSITY OF COIMBRA (Coordinator) - Jorge Dias / GrowMeUp Management - Jorge@deec.uc.pt / growmeup@uc.pt

UNVERSITY OF GENEVA - Dimitri Konstantas - Dimistri.konstantas@unige.ch

ZUYDERLAND- Cindy Wings - c.wings@orbisconcern.nl

UNIVERSITY OF CYPRUS - George Samaras - cssamara@cs.ucy.ac.cy

PAL ROBOTICS - Francesco Ferro - Francesco.ferro@pal-robotics.com

PROBAYES - Kamel Mekhnacha - Kamel.Mekhnacha@probayes.com

CITARD SERVICES LTD. - Eleni Christodoulou - cseleni@citard-serv.com

CARITAS - Carina Dantas - carinadantas@caritascoimbra.pt

Results for Fall detection

GrowMeUp robotic platform external appearance.

GrowMeUp Consortium at Zuyderland Facilities during the Kick-Off Meeting

Results for Object Recognition

Robots working at each of the end-users.

Results for Fall detection

Robots working at each of the end-users.

Project information

GrowMeUp

Grant agreement ID: 643647

Project website

Start date

1 February 2015
End date

31 January 2018

Funded under:

H2020-EU.3.1.4.

Overall budget:

€ 3 415 930
EU contribution

€ 2 790 430

Coordinated by:

UNIVERSIDADE DE COIMBRA

Project information

GrowMeUp

Grant agreement ID: 643647

Project website

Start date

1 February 2015
End date

31 January 2018

Funded under:

H2020-EU.3.1.4.

Overall budget:

€ 3 415 930
EU contribution

€ 2 790 430

Coordinated by:

UNIVERSIDADE DE COIMBRA

Portugal

Deliverables

Documents, reports (48)

D7.2- Dissemination strategy and plan and Communication activities. (M12)

Dissemination strategy and plan and Communication activities. Report (vers. a M03). An updated version of this report will be provided in all the periodic reports (at M06, M18, M30) and all three final reports (at M12, M24, M36). The report will include both completed and planned activities.

D4.1- Design and Specification of Home Daily Activity Services (version b)

Design and specification of the Home Daily Activity services. Report (vers. a M12, vers. b M24). The report will provide the design and specification of the software ICT services to be developed under Task 4.1.

D8.1- Interim Project Reports and Yearly Financial and Progress Project Reports (M24)

Interim project reports and yearly financial and progress project reports (Interim reports on M06, M18, M30); Yearly financial and progress reports: vers. a M12, vers. b M24, vers. c M36

D8.1-Interim Project Reports and Yearly Financial and Progress Project Reports (M6)

Interim project reports and yearly financial and progress project reports (Interim reports on M06, M18, M30); Yearly financial and progress reports: vers. a M12, vers. b M24, vers. c M36

D6.2- Privacy Protection Plan

Privacy Protection Plan. Report (M06)

D1.1 Specification of User Needs Analysis and Design of Behaviour Patterns Model (version b)

Specification of user needs analysis and design of behaviour patterns model. Report (version a M08, version b M24). The report will provide the outcome of the Task1.1 and Task 1.2 and will include the identified user needs, behaviour patterns including dialogue patterns and the functional specification of the ICT services that the GrowMeUp robot will provide.

D8.1- Interim Project Reports and Yearly Financial and Progress Project Reports (M30)

Interim project reports and yearly financial and progress project reports (Interim reports on M06, M18, M30); Yearly financial and progress reports: vers. a M12, vers. b M24, vers. c M36

D7.5- Business Strategy (version c)

Business Strategy. Report (vers. a M16, vers. b M24, vers. c b36)

D7.2- Dissemination strategy and plan and Communication activities. (M30)

D8.1- Interim Project Reports and Yearly Financial and Progress Project Reports (M18)

Interim project reports and yearly financial and progress project reports (Interim reports on M06, M18, M30); Yearly financial and progress reports: vers. a M12, vers. b M24, vers. c M36

D5.1- Specification of Overall System Architecture and Security and Privacy Infrastructure (version a)

Specification of overall system architecture and security and privacy infrastructure. Report (vers. a M08, vers. b M16) A report will include information about all issues concerning the system architecture.

D8.1- Interim Project Reports and Yearly Financial and Progress Project Reports(M36)

Interim project reports and yearly financial and progress project reports (Interim reports on M06, M18, M30); Yearly financial and progress reports: vers. a M12, vers. b M24, vers. c M36

D7.3- Exploitation and Standardization Strategy and Plan (M24)

Exploitation Strategy and Plan. Report (vers. a M08). An updated version of this report will be provided in all the periodic reports (at M18, M30) and all three final reports (at M12, M24, M36). The report will include both completed and planned activities.

D7.4- Standardization activities and Data Management (version c)

Standardization activities and Data Management. Report (vers. a M12, vers. bM24, vers cM36)

D7.3- Exploitation and Standardization Strategy and Plan (M30)

D6.5- Overall System Evaluation and Initial Replication

Overall system evaluation and initial replication. Report/Software (M36)

D7.2- Dissemination strategy and plan and Communication activities. (M24)

D7.5- Business Strategy (version a)

Business Strategy. Report (vers. a M16, vers. b M24, vers. c b36)

D1.2- Specification of Use Case Scenarios and User Interface (version b)

Specification of use case scenarios and User Interface. Report (vers. a M08, vers. b M16). The report will include the outcome of Task1.3.

D6.1- Trials Specification and Design

Trials specification and design. Report.

D5.2- Specification and Implementation of the Communication Protocol (version b)

Specification and Implementation of the Communication Protocol. (vers. a M08, vers. b M16) The communication protocol will follow a similar strategy of D5.1.

D7.3- Exploitation and Standardization Strategy and Plan (M36)

D7.3- Exploitation and Standardization Strategy and Plan (M12)

D6.3- Pilot Setup and Deployments (version a)

Pilot setup and deployments. Report/Software (vers. a M13, vers. b M24)

D7.4- Standardization activities and Data Management (version b)

Standardization activities and Data Management. Report (vers. a M12, vers. bM24, vers cM36)

D5.1- Specification of Overall System Architecture and Security and Privacy Infrastructure (version b)

D7.3- Exploitation and Standardization Strategy and Plan (M8)

D3.2- Specification of the User Behaviour Analysis and Environment Analysis component (version a)

Specification of the User Behaviour Analysis and Environment Analysis component Report (vers. a M12, vers. b M24) The report will describe the ontology representation and the proposed graphical model to represent older person’s behaviour and each other models used to perform the environment analysis.

D1.3- Ethical, Privacy, Legal Considerations and Deontological practice

Ethical, Privacy, Legal Considerations and Deontological practice. Report (M06). The report will include the outcome of Task1.4.

D8.1- Interim Project Reports and Yearly Financial and Progress Project Reports (M12))

Interim project reports and yearly financial and progress project reports (Interim reports on M06, M18, M30); Yearly financial and progress reports: vers. a M12, vers. b M24, vers. c M36

D6.4- Pilot Acceptance Evaluation Results (version b)

Pilot acceptance evaluation results. Report (vers. a M18, vers. b M34)

D8.4- Project effective Innovation Plan (M6)

Project effective Innovation Plan. Report (M06, M24, M36)

D4.1- Design and Specification of Home Daily Activity Services (version a)

D7.5- Business Strategy (version b)

Business Strategy. Report (vers. a M16, vers. b M24, vers. c b36)

D7.4- Standardization activities and Data Management (version a)

Standardization activities and Data Management. Report (vers. a M12, vers. bM24, vers cM36)

D7.3- Exploitation and Standardization Strategy and Plan (M18)

D6.3- Pilot Setup and Deployments (version b)

Pilot setup and deployments. Report/Software (vers. a M13, vers. b M24)

D7.2- Dissemination strategy and plan and Communication activities. (M36)

D1.2- Specification of Use Case Scenarios and User Interface (version a)

Specification of use case scenarios and User Interface. Report (vers. a M08, vers. b M16). The report will include the outcome of Task1.3.

D6.4- Pilot Acceptance Evaluation Results (version a)

Pilot acceptance evaluation results. Report (vers. a M18, vers. b M34)

D7.2- Dissemination strategy and plan and Communication activities (M3)

D1.1- Specification of User Needs Analysis and Design of Behaviour Patterns Model (version a)

D8.4- Project effective Innovation Plan (M24)

Project effective Innovation Plan. Report (M06, M24, M36)

D7.2- Dissemination strategy and plan and Communication activities. (M18)

D3.2- Specification of the User Behaviour Analysis and Environment Analysis component (version b)

D7.2- Dissemination strategy and plan and Communication activities. (M6)

D8.3- Project Quality Handbook

Project Quality Handbook. Report (M03)

D5.2- Specification and Implementation of the Communication Protocol (version a)

Specification and Implementation of the Communication Protocol. (vers. a M08, vers. b M16) The communication protocol will follow a similar strategy of D5.1.

Websites, patent fillings, videos etc. (1)

Publications

Conference proceedings (8)

aPOMDP:State-based Decision Making for Personalized Assistive Robots

Author(s): Hend Al Tair, Gonçalo S. Martins, Luís Santos and Jorge Dias

Published in: 32nd AAAI Conference on Artificial Intelligence, Workshop 3: Artificial Intelligence Applied to Assistive Technologies and Smart Environments, Issue accepted for publication, 2018

Multimodal Affective Behaviour Expression: Can It Transfer Intentions?

Author(s): C. Tsiourti, A. Weiss

Published in: 12th ACM / IEEE International Conference on Human-Robot Interaction (HRI 2017), 2017

A Context-Aware Adaptability Model for Service Robots

Author(s): G. Martins, P. Ferreira, L. Santos, J. Dias

Published in: IJCAI WSR 2016, 2016

European Portuguese Validation of Usefulness, Satisfaction and Ease of Use Questionnaire (USE).

Author(s): Carina Dantas, Ana Luísa Jegundo, João Quintas, Ana Isabel Martins, Alexandra Queirós, Nelson Pacheco Rocha

Published in: 2017, Page(s) 561-570

DOI: 10.1007/978-3-319-56538-5_57

MULTI-WEAR: A Multi-Wearable Platform For Enhancing Mobile User Experiences

Author(s): A. Pamboris, P. Andreou, H. Herodotou and G. Samaras

Published in: IEEE Consumer Communications and Networking Conference 2018 (CCNC)., Issue accepted for publication, 2018

Analysis of Elderly Users’ Preferences and Expectations on Service Robot’s Personality and Appearance

Author(s): Styliani Kleanthous, Christophoros Christophorou, Christiana Tsiourti, Carina Dantas, Rachelle Wintjens, George Samaras, Eleni Christodoulou

Published in: 2016, Page(s) 35-44

DOI: 10.1007/978-3-319-39949-2_4

Verification Methodology of Ethical Compliance for users, researchers and developers of Personal Care Robots

Author(s): Carina Dantas, Pedro Balhau, Ana Jegundo, Luís Santos, Christophoros Christophorou, Cindy Wings, João Quintas, Eleni Christodoulou

Published in: WorldCist'17, 2017, Page(s) 754-762

DOI: 10.1007/978-3-319-56538-5_76

A Robotic Cloud Ecosystem for Elderly Care and Ageing Well: The GrowMeUp Approach

Author(s): Dimosthenis Georgiadis, Christophoros Christophorou, Styliani Kleanthous, Panayiotis Andreou, Luis Santos, Eleni Christodoulou, George Samaras

Published in: 2016, Page(s) 919-924

DOI: 10.1007/978-3-319-32703-7_179

Peer reviewed articles (9)

DJINNI: A Novel Technology Supported Exposure Therapy Paradigm for SAD Combining Virtual Reality and Augmented Reality

Author(s): Maher Ben-Moussa, Marius Rubo, Coralie Debracque, Wolf-Gero Lange

Published in: Frontiers in Psychiatry, Issue 8, 2017, ISSN 1664-0640

DOI: 10.3389/fpsyt.2017.00026

Association between hearing loss and self-perception of the hearing handicap in older persons

Author(s): Anamélia Almeida De Oliveira; Carina Dantas; Ana Luísa Jegundo; Ana Filipa Gonçalves de Carvalho

Published in: Journal of Aging and Innovation, Issue submitted/under revision, 2018, ISSN 2182-6951

ICT services for active ageing and independent living: identification and assessment

Author(s): Christophoros Christophorou, Styliani Kleanthous, Dimosthenis Georgiadis, Donato M. Cereghetti, Panayiotis Andreou, Cindy Wings, Eleni Christodoulou, George Samaras

Published in: Healthcare Technology Letters, Issue 3/3, 2016, Page(s) 159-164, ISSN 2053-3713

DOI: 10.1049/htl.2016.0031

BUM: Bayesian User Model for Distributed Learning of User Characteristics from Heterogeneous Information

Author(s): Gonçalo S. Martins, Luís Santos and Jorge Dias

Published in: IEEE Trans. on Cognitive and Development Systems, Issue submitted/under revision, 2018, ISSN 2379-8939

α POMDP: POMDP-based user-adaptive decision-making for social robots

Author(s): Gonçalo S. Martins, Hend Al Tair, Luís Santos, Jorge Dias

Published in: Pattern Recognition Letters, 2018, ISSN 0167-8655

DOI: 10.1016/j.patrec.2018.03.011

1st Workshop on Social Interaction and Multimodal Expression for Socially Intelligent Robots & Workshop on The Barriers of Social Robotics take-up by Society

Author(s): Christiana Tsiourti, Sten Hanke and Luis Santos

Published in: CEUR Workshop Proceedings (CEUR-WS.org) Online Proceedings for Scientific Conferences and Workshops, 2018, ISSN 1613-0073

AURORA: a Context-Aware Human-Robot Interaction Framework Based on Cognitive Development

Author(s): J. Quintas, G. S. Martins, L. Santos, P. Menezes, J. Dias

Published in: IEEE Transactions on Systems, Man and Cybernetics: Systems, Issue submitted/under revision, 2018, ISSN 2168-2216

User-Adaptive Robotics Systems: A Survey

Author(s): G. Martins, L. Santos, J. Dias

Published in: International Journal of Social Robotics, Issue submitted/under revision, 2018, ISSN 1875-4791

The influence of dynamics and speech on understanding humanoid facial expressions

Author(s): Nicole Lazzeri, Maher Ben Moussa, Daniele Mazzei, Nadia Magnenat-Thalmann

Published in: International Journal of Advanced Robotic Systems, Issue accepted for publication, 2018, ISSN 1729-8814

Book chapters (1)

bum ros: Distributed User Modelling for Social Robots using ROS

Author(s): Gonçalo S. Martins, Luís Santos and Jorge Dias

Published in: Robot Operating System (ROS): The Complete Reference (Volume 3), Springer, 2018, Issue accepted for publication, 2018

Monographic books (1)

Best Practice Handbook - Preventing falls in older people

Author(s): Anamélia Almeida, Anabela Mota Pinto, Carina Dantas, Paulo Nossa

Published in: Best Practice Handbook - Preventing falls in older people, 2017

Project information

GrowMeUp

Grant agreement ID: 643647

Project website

Start date

1 February 2015
End date

31 January 2018

Funded under:

H2020-EU.3.1.4.

Overall budget:

€ 3 415 930
EU contribution

€ 2 790 430

Coordinated by:

UNIVERSIDADE DE COIMBRA

Project information

GrowMeUp

Grant agreement ID: 643647

Project website

Start date

1 February 2015
End date

31 January 2018

Funded under:

H2020-EU.3.1.4.

Overall budget:

€ 3 415 930
EU contribution

€ 2 790 430

Coordinated by:

UNIVERSIDADE DE COIMBRA

Portugal

Project information

GrowMeUp

Grant agreement ID: 643647

Project website

Start date

1 February 2015
End date

31 January 2018

Funded under:

H2020-EU.3.1.4.

Overall budget:

€ 3 415 930
EU contribution

€ 2 790 430

Coordinated by:

UNIVERSIDADE DE COIMBRA

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Last update: 7 October 2019

Record number: 194088

Permalink: https://cordis.europa.eu/project/id/643647

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Grown-ups with supportive robots

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Periodic Reporting for period 3 - GrowMeUp (GrowMeUp)

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