ROS-Health: An Open-Source Framework for Neurorobotics

This paper aims at providing a preliminary description of 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 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 describe the design guidelines that we are following in the preliminary definition of ROS-Health architecture. Finally, we present two illustrative use cases that highlight the advantages and benefits of the adoption of ROS-Health.


Publié dans:
2018 Ieee International Conference On Simulation, Modeling, And Programming For Autonomous Robots (Simpar), 174-179
Présenté à:
IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR), Brisbane, AUSTRALIA, May 16-19, 2018
Année
Jan 01 2018
Publisher:
New York, IEEE
ISBN:
978-1-5386-5974-8
Mots-clefs:
Laboratoires:




 Notice créée le 2019-01-23, modifiée le 2019-02-01


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