脑-机器人控制接口:开发与应用

2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014) Pub Date : 2014-04-11 DOI:10.1109/ISBB.2014.6820928

Narendra Prataksita, Yi-Tseng Lin, Hung-Chyun Chou, C. Kuo

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引用次数: 6

摘要

脑机接口(BCI)的最新进展提供了一种与非肌肉活动交流的方式，以控制计算机，机器人和其他辅助技术。本文探讨了半自主的类人机器人个人助理的可能性。运动想象(MI)利用事件相关去同步(ERD)信号来检测用户意图。将检测到的用户意图进一步用于操作小型人形机器人。此外，机器人可以通过基于视觉的避障方法避免碰撞，使其能够在非结构化环境中安全行走。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Brain-robot control interface: Development and application

Recent advances in brain computer interface (BCI) offers its capabilities to provide a way of communication with non-muscular activity to control computers, robots, and other assistive technologies. This paper exploits the possibility towards a semiautonomous, humanoid robot personal assistant for handicapped subjects. The motor imagery (MI) utilizes the event-related desynchronization (ERD) signal to detect user intentions. The detected user intention is further used to manipulate a small-size humanoid robot. In addition, the robot may avoid collision in terms of a vision-based obstacle avoidance approach so that it can walk in an unstructured environment safely.

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2014 IEEE International Symposium on Bioelectronics and Bioinformatics (IEEE ISBB 2014)

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