在一般遠端遙控機器人系統的各種感測器資訊裡，視覺回饋是使用者操控時藉以產生空間臨場感最為直覺的工具。而為了提升使用者控制遠端機器人的效率，各種採用特殊廣角度鏡頭視覺感測器的機器人視覺系統紛紛被設計出來，以盡可能地取得大量的視覺資訊。然而這些經由特殊廣角度鏡頭設計的視覺感測器卻會引起影像嚴重的畸變（distortion），必須採用影像演算法進一步校正畫面後，使用者才得以正常辨認畫面內容。
　　本論文針對遠端遙控機器人的視覺回饋，嘗試設計並建構一套具有廣視野畫面臨場感的系統。採用三台一般市售網路攝影機（webcam）與兩片反射平面鏡設計組合而成的光學系統，可達到非同步拍攝具相同視點（point-of-view）但不同視野（field-of-view）的多重畫面；再交由利用DirectShow設計之影像處理PanMultiCamFilter整併多視野畫面。本廣視野視覺感測器搭配可程式化控制馬達，可提供更有彈性之水平視野拍攝範圍，且透過一般網路將廣視野影像回饋傳送至遠端使用者介面。完成一高臨場感且具低畸變畫面特性之廣視野視覺感測器。

　　Among all sensory data of a remote controlled robot system, visual feedback provides the most straightforward information on constructing spatial presence for users. For the efficiency of controlling remote robots, many visual feedback systems with special wide-angle lenses on cameras were designed to capture massive images. However, these special wide-angle lenses will cause image distortion heavily. Image must be corrected by image processing algorithms before it could be recognized by users.
　　This thesis focuses on establishing a visual feedback system which provides wide FOV (field-of-view) presence in remote controlled robots. A new optical sys-tem combined with three webcams and two flat mirrors could asynchronously cap-ture multiple images with different FOV from the same POV (position-of-view). These images were then merged and transformed by the PanMultiCamFilter, devel-oped from the DirectShow. By joining a bearing mechanism with a programmable motor controller, the wide FOV visual feedback system could provide more flexible horizontal FOV. Those images captured by the system were transferred to remote user interface (UI) through networks. At the end, a wide FOV visual feedback sys-tem was created with high presence and low image distortion for remote controlled robots.

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