Brain Robot Interface for Physical Human Robot Collaboration

该项目旨在发现认知冲突的新知识，并开发模型和算法，使人-机器人能够在复杂、非结构化的环境中进行直观的物理协作，共同执行繁重的任务。它提出，当机器人没有以人类期望的方式操作时，建立在人脑反应的基础上。冲突模型和预测方法采用先进的机器学习算法进行规划。该模型和算法旨在集成到创新的脑-机器人接口中，用于在现实世界的工业任务中进行现场测试。将成果转化为工业，预计将通过提高生产率和安全性产生巨大的经济和社会效益。

This project aims to discover new knowledge of cognitive conflict and develop models and algorithms that enable intuitive physical human-robot collaboration to jointly conduct laborious tasks in complex, unstructured environments. It proposes to build on responses in the human brain when a robot does not operate in a way the human expects. Conflict models and prediction method are planned using advanced machine learning algorithms. The model and algorithms are intended to be integrated into an innovative brain-robot interface for field testing in a real-world industrial task. Translation of the outcomes to industry is expected to produce substantial economic and societal benefits through improved productivity and safety.