Socially Assistive Robot’s Behaviors using Microservices

Ercolano, Giovanni; Lambiase, Paolo Domenico; Leone, Enrico; Raggioli, Luca; Trepiccione, Davide; Rossi, Silvia

doi:10.1109/ro-man46459.2019.8956472

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…Daily assistive actions implementing assistive robot behaviors, as well as perceptual capabilities of the smart environment are provided as Microservices (Ercolano et al 2019). Each microservice may implement a daily assistive action alone or it can be combined with others to provide a more complex functionality that is exposed as an atomic service.…”

Section: Daily Assistive Actions As Microservicesmentioning

confidence: 99%

“…In Table 1, we briefly recap the developed microservices specifying the device providing them and a short description of their functionality. More details on the developed services can be found in (Raggioli and Rossi 2019;Tizzano et al 2020;Ercolano et al 2017Ercolano et al , 2018Ercolano et al , 2019. It should be noted that since no environmental sensors are used to detect the user position or activity, Find, Look and Approach User are microservices provided by the robot.…”

Section: Daily Assistive Actions As Microservicesmentioning

confidence: 99%

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Personalized home-care support for the elderly: a field experience with a social robot at home

Napoli

Ercolano

Rossi

2022

User Model User-Adap Inter

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Socially assistive robotics (SAR) is getting a lot of attention for its potential in assisting elderly users. However, for robotic assistive applications to be effective, they need to satisfy the particular needs of each user and be well perceived. For this purpose, a personalization based on user’s characteristics such as personality and cognitive profile, and their dynamic changes is a crucial factor. Moreover, most of the existing solutions rely on the availability of specific technological infrastructures, generally requiring high economic investment, and that cannot be easily placed in different environments. Personalization and adaptation of assistive robotics applications to different user’s characteristics and needs, and even to different technological environments, are still not fully addressed in real environments. In the present work, the results of the UPA4SAR project are presented. The project aimed at providing a social robotic system to deliver assistive tasks for home care of patients with mild cognitive impairment in a personalized and adaptive way. We introduce the general architecture of the system and the developed robotic behaviors. Personalization and dynamic adaptation of assistive tasks are realized using a service-oriented approach by taking into account both user’s characteristics and environmental dynamic conditions. Field experimentation of the project was carried out with 7 patients, using the robotic system autonomously running in their homes for a total of 118 days. Results showed a reliable functioning of the proposed robotic system, a generally positive reaction, and a good acceptability rate from patients.

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Section: Daily Assistive Actions As Microservicesmentioning

confidence: 99%

Section: Daily Assistive Actions As Microservicesmentioning

confidence: 99%

Personalized home-care support for the elderly: a field experience with a social robot at home

Napoli

Ercolano

Rossi

2022

User Model User-Adap Inter

Self Cite

View full text Add to dashboard Cite

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OpenTera: A microservice architecture solution for rapid prototyping of robotic solutions to COVID-19 challenges in care facilities

et al. 2022

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As telecommunications technology progresses, telehealth frameworks are becoming more widely adopted in the context of long-term care (LTC) for older adults, both in care facilities and in homes. Today, robots could assist healthcare workers when they provide care to elderly patients, who constitute a particularly vulnerable population during the COVID-19 pandemic. Previous work on user-centered design of assistive technologies in LTC facilities for seniors has identified positive impacts. The need to deal with the effects of the COVID-19 pandemic emphasizes the benefits of this approach, but also highlights some new challenges for which robots could be interesting solutions to be deployed in LTC facilities. This requires customization of telecommunication and audio/video/data processing to address specific clinical requirements and needs. This paper presents OpenTera, an open source telehealth framework, aiming to facilitate prototyping of such solutions by software and robotic designers. Designed as a microservice-oriented platform, OpenTera is an end-to-end solution that employs a series of independent modules for tasks such as data and session management, telehealth, daily assistive tasks/actions, together with smart devices and environments, all connected through the framework. After explaining the framework, we illustrate how OpenTera can be used to implement robotic solutions for different applications identified in LTC facilities and homes, and we describe how we plan to validate them through field trials.

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Socially Assistive Robot’s Behaviors using Microservices

Cited by 2 publications

References 12 publications

Personalized home-care support for the elderly: a field experience with a social robot at home

Personalized home-care support for the elderly: a field experience with a social robot at home

OpenTera: A microservice architecture solution for rapid prototyping of robotic solutions to COVID-19 challenges in care facilities

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