User feedback and remote supervision for assisted living with mobile robots: A field study in long-term autonomy

  title={User feedback and remote supervision for assisted living with mobile robots: A field study in long-term autonomy},
  author={Matteo Luperto and Marta Romeo and Javier Gonzalez Monroy and Jennifer Renoux and Alessandro Vuono and Francisco-Angel Moreno and Javier Gonzalez-Jimenez and Nicola Basilico and Nunzio Alberto Borghese},
  journal={Robotics Auton. Syst.},

Enhancing Door-Status Detection for Autonomous Mobile Robots during Environment-Specific Operational Use

This work addresses the problem of building a door–status detector module for a mobile robot operating in the same environment for a long time, thus observing the same set of doors from different points of view and devise a method to build a dataset of images taken from a robot’s perspective and exploit it to obtain a door-status detector based on deep learning.



The CARESSES Randomised Controlled Trial: Exploring the Health-Related Impact of Culturally Competent Artificial Intelligence Embedded Into Socially Assistive Robots and Tested in Older Adult Care Homes

This trial represents the final stage of the CARESSES project which aimed to develop and evaluate a culturally competent artificial intelligent system embedded into social robots to support older

Living With a Telepresence Robot: Results From a Field-Trial

Based on the collected feedback, the proposed telepresence robot can be exploited into integrated care services and underline optimal system reliability and high user experience.

Integrating Social Assistive Robots, IoT, Virtual Communities and Smart Objects to Assist at-Home Independently Living Elders: the MoveCare Project

This work presents the MoveCare system, an unobtrusive platform that, through the integration of a SAR into an AAL framework, aimed to monitor, assist and provide social, cognitive, and physical stimulation in the own houses of elders living alone and at risk of falling into frailty, and provides strong empirical evidence that Socially Assistive Robots integrated with monitoring and stimulation platforms can be successfully used for long-term support to older adults.

What is my Robot Doing? Remote Supervision to Support Robots for Older Adults Independent Living: a Field Study

Analyzing the impact of introducing a novel web-based Monitoring and Logging System (MLS) on the SARs reliability and user acceptance suggests that the use of the MLS during the pilot increased the acceptance of the SAR-based system in the event of failures and anomalies.

AI and robotics to help older adults: Revisiting projects in search of lessons learned

A retrospective overview of work performed in the domain of Active Assisted Living over a span of almost 18 years is presented to identify strong features and general lessons learned from those experiences and conceive guidelines and new research directions for future deployment.

A Smart Ink Pen for the Ecological Assessment of Age-Related Changes in Writing and Tremor Features

The smartpen is particularly suitable for daily-life telemonitoring applications in a number of important health-related fields and has the ability to combine the advantages of the digitizing tablet technology with the natural “feel,” the ease of use, and the ecological validity of the traditional pen-and-paper approach.

A Virtual Caregiver for Assisted Daily Living of Pre-frail Users

This study suggests that the presence of the Virtual Caregiver encourages people to use the Movecare platform more consistently, which in turn could result in better monitoring and prevention of cognitive and physical decline.

Supervised Digital Neuropsychological Tests for Cognitive Decline in Older Adults: Usability and Clinical Validity Study

A supervised, digitized version of 2 neuropsychological tests, which consists of a web app that implements a tablet-based version of the tests and consists of an innovative vocal assistant that acts as the virtual supervisor for the execution of the test.

HMMs for Anomaly Detection in Autonomous Robots

The main idea is to model the nominal (expected) behavior of a robot system using Hidden Markov Models (HMMs) and to evaluate how far the observed behavior is from the nominal one using variants of the Hellinger distance adopted for the authors' purposes.