Dr. José Carlos González Dorado

Cristina Suárez-Mejías

Antonio Bandera

Pablo Bustos

A Socially Assistive Robotic Platform for Upper-Limb Rehabilitation: A Longitudinal Study With Pediatric Patients

NAOTherapist is a cognitive robotic architecture whose main goal is to develop non-contact upper-limb rehabilitation sessions autonomously with a social robot for patients with physical impairments. In order to achieve a fluent interaction and an active engagement with the patients, the system should be able to adapt by itself in accordance with the perceived environment. In this paper, we describe the interaction mechanisms that are necessary to supervise and help the patient to carry out the prescribed exercises correctly. We also provide an evaluation focused on the child-robot interaction of the robotic platform with a large number of schoolchildren and the experience of a first contact with three pediatric rehabilitation patients. The results presented are obtained through questionnaires, video analysis and system logs, and have proven to be consistent with the hypotheses proposed in this work.

9 April 2019 in IEEE Robotics & Automation Magazine

Journal Article

Cristina Suarez-Mejias

Alvaro Duenas Ruiz

Patricia Ferrand Ferri

A three-layer planning architecture for the autonomous control of rehabilitation therapies based on social robots

In motor rehabilitation therapies, especially with pediatric patients, there is often a loss of interest and motivation due to the lack of variety in exercises and therapeutic activities. NAOTherapist (NT) is a socially assistive robotics (SAR) platform designed to support hands-off rehabilitation sessions through two interactive games: mirror and Simon. It integrates a cognitive architecture with an NAO humanoid robot that acts as a coach, as well as a red-green-blue-depth (RGB-D) sensor that eases body capture. This work aims to deploy and evaluate the developed technology for a long-term experience.

1 June 2017 in Cognitive Systems Research

Journal Article

José Carlos Pulido

A Framework for User Adaptation and Profiling for Social Robotics in Rehabilitation

25 August 2020 in Sensors

Journal Article

Alejandro Martín

CLARC: A Cognitive Robot for Helping Geriatric Doctors in Real Scenarios

Angel García-Olaya

Cristina Suárez

Physical rehabilitation therapies for children present a challenge, and its success—the improvement of the patient’s condition—depends on many factors, such as the patient’s attitude and motivation, the correct execution of the exercises prescribed by the specialist or his progressive recovery during the therapy. With the aim to increase the benefits of these therapies, social humanoid robots with a friendly aspect represent a promising tool not only to boost the interaction with the pediatric patient, but also to assist physicians in their work. To achieve both goals, it is essential to monitor in detail the patient’s condition, trying to generate user profile models which enhance the feedback with both the system and the specialist. This paper describes how the project NAOTherapist—a robotic architecture for rehabilitation with social robots—has been upgraded in order to include a monitoring system able to generate user profile models through the interaction with the patient, performing user-adapted therapies. Furthermore, the system has been improved by integrating a machine learning algorithm which recognizes the pose adopted by the patient and by adding a clinical reports generation system based on the QUEST metric.

12 November 2017

Book Chapter

Voilmy Dimitri

Cristina Suárez

Adrian Romero-Garcés

Cristian Reuther

Jose Carlos Pulido

Antonio Bandera

+14

1 February 2019 in International Journal of Humanoid Robotics

Journal Article

Developing a Robot-Guided Interactive Simon Game for Physical and Cognitive Training

Mısra Turp