Robot-assisted Transcranial Magnetic Stimulation (Robo-TMS) is an image-guided robotic intervention that enhances the accuracy and reproducibility of conventional Transcranial Magnetic Stimulation (TMS), a widely used non-invasive brain stimulation procedure in clinical treatment and neuroscience research. Despite its potential, the development of Robo-TMS remains challenging due to the need for multidisciplinary expertise spanning medical imaging, computer vision, and robotics. This paper presents SlicerRoboTMS, an open-source 3D Slicer extension that provides a unified interaction infrastructure for Robo-TMS research. By leveraging 3D Slicer's medical image computing and visualisation capabilities, the extension supports Magnetic Resonance Imaging (MRI)-based neuronavigation and interfaces with robotic systems through standardised communication protocols and configurable system descriptions. An example integration is presented to demonstrate how SlicerRoboTMS can be incorporated into a representative Robo-TMS workflow. Designed to support diverse hardware configurations and rapid prototyping, SlicerRoboTMS lowers the barrier to entry and facilitates reproducible and extensible research in Robo-TMS. The extension is available at https://github.com/OpenRoboTMS/SlicerRoboTMS.

翻译：机器人辅助经颅磁刺激（Robo-TMS）是一种图像引导的机器人干预技术，可增强传统经颅磁刺激（TMS）的准确性和可重复性。TMS作为一种广泛使用的非侵入性脑刺激手段，在临床治疗和神经科学研究中具有重要应用。尽管潜力巨大，但由于需要整合医学影像、计算机视觉和机器人学等多学科专业知识，Robo-TMS的开发仍面临挑战。本文提出SlicerRoboTMS，这是一个开源3D Slicer扩展插件，为Robo-TMS研究提供统一的交互基础架构。该扩展利用3D Slicer的医学图像计算与可视化能力，支持基于磁共振成像（MRI）的神经导航，并通过标准化通信协议和可配置的系统描述与机器人系统对接。本文通过一个示例集成展示了如何将SlicerRoboTMS整合到典型的Robo-TMS工作流程中。该扩展旨在支持多种硬件配置和快速原型开发，降低了Robo-TMS研究的准入门槛，促进可重复、可扩展的研究。扩展插件代码可在 https://github.com/OpenRoboTMS/SlicerRoboTMS 获取。