STAUBLI TX40 ROBOTS -EARLY STAGES

A Brain-Computer Interface (BCI) is a system that allows individuals with severe neuromuscular disorders to communicate and control devices using their brain waves. It has been demonstrated that a non-invasive scalp-recorded ElectroEncephalo Graphy (EEG) based BCI paradigm can be used by a disabled individual for long-term, reliable control of a personal computer. This BCI paradigm allows users to select from a set of symbols presented in a flashing visual matrix by classifYing the resulting evoked brain responses. The same BCI paradigm and techniques can be used in a straightforward implementation to generate high-level commands for controlling a robotic manipulator in three dimensions according to user intent. The robot application is envisioned to provide superior dimensional control over alternative BCI techniques, as well as provide a wider variety of practical functions for performing everyday tasks. paper describes the early stages toward providing disabled individuals a new level of autonomy for performing everyday tasks, hence improving their quality of life. The objective of the initial experiment is to demonstrate that an EEG-based BCI can provide accurate and reliable high-level control of a robotic manipulator. A man-machine interface between the human brain and the robotic manipulator is developed and the early stages of insight into the practicality of a BCI operated assistive manipulation device are explored.

脑机接口（BCI）是一种系统，它使患有严重神经肌肉疾病的人能够利用他们的脑电波进行交流并控制设备。已经证明，基于无创头皮记录脑电图（EEG）的脑机接口范式可被残疾人用于长期、可靠地控制个人计算机。这种脑机接口范式允许用户通过对所产生的诱发脑反应进行分类，从闪烁的视觉矩阵中呈现的一组符号中进行选择。相同的脑机接口范式和技术可以通过一种直接的实现方式，根据用户的意图生成用于在三维空间中控制机器人操纵器的高级命令。设想机器人应用能够比其他脑机接口技术提供更优越的维度控制，并为执行日常任务提供更多种类的实用功能。本文描述了为残疾人在执行日常任务方面提供新的自主水平的早期阶段，从而提高他们的生活质量。初步实验的目的是证明基于脑电图的脑机接口能够为机器人操纵器提供准确和可靠的高级控制。开发了人脑与机器人操纵器之间的人机接口，并探索了对脑机接口操作的辅助操纵装置实用性的初步认识。