Tonin Luca, Beraldo Gloria, Tortora Stefano, Menegatti Emanuele
Intelligent Autonomous Systems Laboratory, Department of Information Engineering, University of Padova, Padua, Italy.
Padova Neuroscience Center, University of Padova, Padua, Italy.
Front Neurorobot. 2022 May 10;16:886050. doi: 10.3389/fnbot.2022.886050. eCollection 2022.
The growing interest in neurorobotics has led to a proliferation of heterogeneous neurophysiological-based applications controlling a variety of robotic devices. Although recent years have seen great advances in this technology, the integration between human neural interfaces and robotics is still limited, making evident the necessity of creating a standardized research framework bridging the gap between neuroscience and robotics. This perspective paper presents Robot Operating System (ROS)-Neuro, an open-source framework for neurorobotic applications based on ROS. ROS-Neuro aims to facilitate the software distribution, the repeatability of the experimental results, and support the birth of a new community focused on neuro-driven robotics. In addition, the exploitation of Robot Operating System (ROS) infrastructure guarantees stability, reliability, and robustness, which represent fundamental aspects to enhance the translational impact of this technology. We suggest that ROS-Neuro might be the future development platform for the flourishing of a new generation of neurorobots to promote the rehabilitation, the inclusion, and the independence of people with disabilities in their everyday life.
对神经机器人技术日益增长的兴趣导致了基于异构神经生理学的应用激增，这些应用可控制各种机器人设备。尽管近年来这项技术取得了巨大进展，但人类神经接口与机器人技术之间的整合仍然有限，这凸显了创建一个标准化研究框架以弥合神经科学与机器人技术之间差距的必要性。这篇观点论文介绍了ROS-Neuro，一个基于机器人操作系统（ROS）的神经机器人应用开源框架。ROS-Neuro旨在促进软件分发、实验结果的可重复性，并支持专注于神经驱动机器人技术的新社区的诞生。此外，利用机器人操作系统（ROS）基础设施可确保稳定性、可靠性和鲁棒性，这些是增强该技术转化影响力的基本要素。我们认为，ROS-Neuro可能是新一代神经机器人蓬勃发展的未来开发平台，以促进残疾人在日常生活中的康复、融入和独立。
