本研究的目的為整合前人研究，使其資料結構統一，增進系統的執行效能。首先對本研究團隊開發的iBMPS系統之系統架構與硬體設備進行介紹。接著修改前人開發的攝影機一維校正流程，使得多系統之攝影機校正得以實行，並擬定在多系統架構下的攝影機校正策略。而對於人體運動教導所需要之資料結構、教導流程與參數檔案格式亦有進行說明。
本文亦開發了一運動重定向之流程，將人體運動追蹤資訊轉化為機器人使用的運動檔案。之後有機器人控制策略將運動傳遞給人型機器人Sunny，使得人體運動資料不單只能在電腦上重現，而是由實體的機器人呈現。

This study summarizes the system architecture of iBMPS(intelligent Body Motion Processing System) developed by Robotic and Automatic Lab and explains the definition of input files. And, an improved camera calibration process was developed according to the data I/O of the Distributed 3D Optical Real-time Motion Capture System “iBMPS Capture”.
In addition, a motion retargeting process was also developed. The purpose of motion retargeting is to transform the motion data of one model to another one with different structure. This study focuses on transforming the motion data of human model to the robot “Sunny”. After getting the motion data of robot, a simple strategy for sending the control signal to the control board is implemented.

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