User-centered Implementation of Rehabilitation Exercising on an Assistive Robotic Platform

Author(s):  
Xanthi S. Papageorgiou ◽  
George Tsampounaris ◽  
Alexandra Karavasili ◽  
Eleni Efthimiou ◽  
Stavroula-Evita Fotinea ◽  
...  
Author(s):  
Pierluigi Carcagnì ◽  
Dario Cazzato ◽  
Marco Del Coco ◽  
Pier Luigi Mazzeo ◽  
Marco Leo ◽  
...  

AbstractIn thiswork, a real-time system able to automatically recognize soft-biometric traits is introduced and used to improve the capability of a humanoid robot to interact with humans. In particular the proposed system is able to estimate gender and age of humans in images acquired from the embedded camera of the robot. This knowledge allows the robot to properly react with customized behaviors related to the gender/age of the interacting individuals. The system is able to handle multiple persons in the same acquired image, recognizing the age and gender of each person in the robot’s field of view. These features make the robot particularly suitable to be used in socially assistive applications.


2019 ◽  
Vol 26 (2) ◽  
pp. 24-39 ◽  
Author(s):  
Jose Carlos Pulido ◽  
Cristina Suarez-Mejias ◽  
Jose Carlos Gonzalez ◽  
Alvaro Duenas Ruiz ◽  
Patricia Ferrand Ferri ◽  
...  

2021 ◽  
Vol 7 (1) ◽  
pp. 12
Author(s):  
Jaime Mas-Santillán ◽  
Francisco Javier Acevedo-Rodríguez ◽  
Roberto Javier López-Sastre

This paper describes how we developed a novel low-cost assistive robotic platform, with AI-based perception capabilities, able to navigate autonomously using Robot Operating System (ROS). The platform is a differential wheeled robot, equipped with two motors and encoders, which are controlled with an Arduino board. It also includes a Jetson Xavier processing board on which we deploy all AI processes, and the ROS architecture. As a result of the work, we have a fully functional platform, able to recognize actions online, and navigate autonomously through environments whose map has been preloaded.


Author(s):  
Pierluigi Carcagnì ◽  
Dario Cazzato ◽  
Marco Del Coco ◽  
Cosimo Distante ◽  
Marco Leo

2021 ◽  
Vol 14 (2) ◽  
Author(s):  
Tao Shen ◽  
Md Rayhan Afsar ◽  
Md Rejwanul Haque ◽  
Eric McClain ◽  
Sanford Meek ◽  
...  

Abstract With the rapid expansion of older adult populations around the world, mobility impairment is becoming an increasingly challenging issue. For the assistance of individuals with mobility impairments, there are two major types of tools in the current practice, including the passive (unpowered) walking aids (canes, walkers, rollators, etc.) and wheelchairs (powered and unpowered). Despite their extensive use, there are significant weaknesses that affect their effectiveness in daily use, especially when challenging uneven terrains are encountered. To address these issues, the authors developed a novel robotic platform intended for the assistance of mobility-challenged individuals. Unlike the existing assistive robots serving similar purposes, the proposed robot, namely, quadrupedal human-assistive robotic platform (Q-HARP), utilizes legged locomotion to provide an unprecedented potential to adapt to a wide variety of challenging terrains, many of which are common in people’s daily life (e.g., roadside curbs and the few steps leading to a front door). In this paper, the design of the robot is presented, including the overall structure of the robot and the design details of the actuated robotic leg joints. For the motion control of the robot, a joint trajectory generator is formulated, with the purpose of generating a stable walking gait to provide reliable support to its human user in the robot’s future application. The Q-HARP robot and its control system were experimentally tested, and the results demonstrated that the robot was able to provide a smooth gait during walking.


Author(s):  
Tao Shen ◽  
Md Rayhan Afsar ◽  
Md Rejwanul Haque ◽  
Eric McClain ◽  
Sanford Meek ◽  
...  

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