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以腦電波控制為基礎之嵌入式網路機器人

An EEG-Based Brain-Controlled Robot Agent

摘要


本研究提出一種基於網路代理機器人與腦機介面技術之新式嵌入式網路機器人系統。我們設計了一個具有高度擴充性與機動力的嵌入式網路機器人。在這嵌入式網路機器人中,我們模仿人類哺乳類動物的腦神經分布的架構開發了一個稱為微型分散式網路橋接模組的電路核心。這個微型分散式網路橋接模組是被設計用來降低機器人系統成本與增加其擴充性。微型分散式網路橋接模組使得使用者可以透過嵌入式網路技術來控制網路機器人的動作。配合以腦電波為基礎之腦機介面中的指令轉換單元與警覺程度偵測單元可以讓網路機器人進行特別的動作(如坐下或站起來)來反應使用者的警覺程度以及根據使用者的指令進行前進、左轉或右轉。

並列摘要


This investigation presents a novel embedded-Internet robot system based on an Internet Robot Agent and the Brain-Computer Interface (BCI) scheme. A highly-flexible and well-integrated embedded Ethernet robot (eRobot) was designed with enhanced mobility. In the eRobot, human brain topology was imitated in developing a circuit core module called a tiny network bridge (TNB). The elaborate TNB architecture is designed to reduce robotic system cost and increase its mobility and developmental flexibility. TNB enables users to control eRobot motion via embedded Ethernet technology. Cooperating with both the command translation unit (CTU) and alertness level detection unit (ADU) allows the eRobot to perform specific motions (for example, lying down or standing up) to reflect alertness levels of the user, and move forward, turn left or right following the user's command.

並列關鍵字

EEG Brain-Computer Interface Network Robot

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