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Enhanced Services for Client Assistance Using Robotic Platforms

Research Projects

SPARC is developed in cooperation with CITST company that aims at exploiting robotic technology as a service offer for its potential clients. The envisaged applications are product promotion and/or clients’ assistance in public places such as malls, museums, exhibitions by means of an autonomous robot. In this context, the main goal of the project is the design and implementation of a robotic platform to achieve integrated planning of robot tasks and robot interaction with the clients.

The SPARC project is financed by “Bridge Grant” programme, PNIII.

Duration: 2016-2018

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A Context Management Middleware Servicing Ambient Intelligence Applications

Research Projects

The objective of this project is the creation of an open source context management middleware solution presenting rich features that alleviate context-aware application development. Based on the existing platform CONSERT, developed in the AIMAS laboratory, the work improves upon CONSERT with: performance improvement and modularisation of the reasoning engine to support applications of variable complexity requirements, development of an IDE for context modeling and deployment to facilitate context-aware application programming based on the CONSERT Middleware, and advanced options for OSGi and Docker based deployments of CONSERT processing units to address dynamic change of context within an application.

The CONSERT project is financed by “Exploratory Grants” programme, PNIII.

Duration: 2016-2018

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Integrated Solution for Innovative Elderly Care

Research Projects

INCARE product is a software platform compatible with health devices, home automation sensors, robots and dedicated to the elderly and older adults living independently or in elderly care facilities. Our platform aims to help them live longer, more connected and more independent.

INCARE will turn national and European funded projects into viable products by building on two successful solutions developed within previous AAL and European projects. Both NITICS, funded within the AAL 2012 call, and RAPP, funded 2013-2016 through the EC through the 7th Framework Programme FP7, were designed to support elderly people to live independently in their home environment and social circle. Read more about these projects at NITICS and RAPP.

The INCARE project is partially funded by the Active and Assisted Living (AAL) – European Commission.

Duration: 2018-2022

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Indoor and outdoor NITICSplus solution for dementia challenges

Research Projects

IONIS will offer fully integrated and validated solutions for health monitoring, home automation, personal agenda with reminders, alerts, caregiver administrative tools. The platform will integrate technologies and services that can address dementia specific challenges and offer support to both caretakers and caregivers: location based services for indoor localization, LBS for object localization by integration of own solutions based on embedded Linux and commercial Bluetooth tags, LBS for outdoor localization and geofencing to allow dementia sufferers to enjoy outdoor activities and perform essential task such as shopping or visiting, alerting and easy communication through one-button calls to designated caregivers, sleep quality monitoring through non-wearable sensors, recommending outdoor activities according to the level of indoor effort extracted from mobility patterns and sleep quality. AI-MAS is member of the consortium.

The IONIS project is founded by the EU Active and Assisted Living Programme.

Duration: 2017-2020

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Assistant for Elderly People Based on Mobility Patterns

Research Projects

Mobile@Old extracts a mobility pattern for each user and generates remainders and alerts regarding his/her physical and other daily activities.

In case of low physical activity, the user is advised to increase the level of physical exercise.

The exercises are performed interactively, as an adaptive game, specifically designed for elderly persons.

The intensity level of the recommended physical exercises is generated and adapted based on both vital parameters of the user (analyzed using a medical expertise) and also on the observed behavior by a team of psychologists.

Mobile@Old is financed by PCCA programme, PNII.

Duration: 2014-2017