This paper aims at describing ROS-Health, a novel framework for neurorobotics based on the middleware Robot Operating System (ROS). The increased interest in the neurorobotics field and the proliferation of several (neuro)physiological-based applications to control robotics devices made clear the importance to establish a standardized research platform in order to facilitate the distribution of the software, the replication of experimental results and, especially, the creation of an unified community to share and manage the code in the years. For this reason, we propose a common platform developed in the ROS ecosystem that takes advantage of its tools and capabilities. Furthermore, we define the main guidelines to be followed during the design phase of ROS-Health and we describe a preliminary architecture. Finally, we present two illustrative uses cases that highlight the advantages and benefits of the adoption of ROS-Health.

ROS-Health: An Open-Source Framework for Neurorobotics

Gloria Beraldo;Nicola Castaman;Enrico Pagello;Luca Tonin;Emanuele Menegatti
2018

Abstract

This paper aims at describing ROS-Health, a novel framework for neurorobotics based on the middleware Robot Operating System (ROS). The increased interest in the neurorobotics field and the proliferation of several (neuro)physiological-based applications to control robotics devices made clear the importance to establish a standardized research platform in order to facilitate the distribution of the software, the replication of experimental results and, especially, the creation of an unified community to share and manage the code in the years. For this reason, we propose a common platform developed in the ROS ecosystem that takes advantage of its tools and capabilities. Furthermore, we define the main guidelines to be followed during the design phase of ROS-Health and we describe a preliminary architecture. Finally, we present two illustrative uses cases that highlight the advantages and benefits of the adoption of ROS-Health.
2018
IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (2018)
978-1-5386-5975-5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3266535
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