Non-invasive and safe human-machine interface (HMI) systems

该项目旨在建立基于多模态传感和机器学习的新型非侵入式人机接口系统，以直观地指挥和控制机器人和自主系统，安全地与人类进行交互和合作。这将通过利用设计优化、多模态传感、增材制造、机器学习以及辅助和协作机器人设备之间的协同作用来实现。预期成果是一种新的人机界面方法，一种新的多用途可穿戴数据手套，以及用于辅助机器人设备（如假手，先进制造，建筑和农业）中尖端应用的功能和应用特定的机器学习方法。

This project aims to establish novel non-invasive human-machine interface systems based on multi-modal sensing and machine learning to intuitively command and control robotic and autonomous systems safely interacting and cooperating with humans. This will be achieved by harnessing the synergies across design optimisation, multi-modal sensing, additive manufacturing, machine learning, and assistive and cooperative robotic devices. Expected outcomes are a novel human-machine interface methodology, a new multi-purpose wearable data glove, and function and application-specific machine learning methods for cutting-edge applications in assistive robotic devices such as a prosthetic hand, advanced manufacturing, construction and agriculture.