近年來許多學者致力於研究各種人工智慧法則，以發展各式各樣的智慧型機器人。智慧型機器人應具備對環境有感測、適應、學習以及行動等能力，然而生物免疫系統就具有這樣的特性，因此極為適合用來發展智慧型機器人。本論文藉由免疫系統的特性，發展新的類免疫行為理論，使機器人在未知環境中經由自我學習與適應能力達成行為反應。爲了驗證所提理論的可行性，本文在實作方面，利用影像擷取技術取得環境狀態，並以Borland C++ Builder為使用者視窗介面撰寫影像處理與類免疫行為控制等程式，由實作結果證明改良的類免疫行為理論應用於移動式機器人，可以有效完成避障與追蹤的任務。

It is generally accepted that a smart robot must have some self-learning abilities so that it can adapt with the
changing of environments. In the last few decades, many efforts have been devoted in the research of artificial intelligent for the so-called smart robots, huge progress has been achieved since for some robots. One study has acquire many attentions recently is the emulation of biological immune systems, Their fast learning and adaptation abilities have been shown worked nicely in many self-learning robots.
In this thesis, with some modifications and a few original developed techniques, a biological immune system is applied to a robot which is moving in a previously unknown and constantly changing environment. To provide the environment information for the robot, a CCD camera is installed for the experiment setting. The system has been tested for various conditions, and the results are very encouraging.

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