自主行動機器人之人機互動控制的設計與實現

本文的研究目標為開發自主行動機器人的人機互動控制系統。藉由視覺辨識系統將影像進行目標顏色的篩選及辨識，使用者可經由簡單的手勢動作，對機器人下達指令，且本系統適用於日常生活中的光源環境。本文發展顏色篩選和影像特徵辨識二個系統用以處理目標辨識與分類。首先，藉由分析目標顏色於色彩空間中的分佈，提出多重閥值及閥值自我調整的機制。再者，本文使用邊緣特徵萃取演算法和傅立葉描述子的運算以描述物體輪廓特徵，可不受物體旋轉或大小的影響，再經由支持向量機器的非線性不可分離資料類型進行分類。透過上述二個系統的處理，本文提升了機器人視覺系統的目標辨識之準確率，並成功的在不同光源環境中對機器人進行人機互動控制。

關鍵字

自主行動機器人；人機互動控制；邊緣特徵萃取演算法；傅立葉描述子；支持向量機器

並列摘要

The purpose of the work documented in this paper is to develop a human-robot interaction control system for an autonomous mobile robot. With the visual recognition system filtering and recognizing the target color in the raw image data, the user can send commands to the robot easily by using simple gestures. And this system is suitable for the environment of lighting in daily life. In this paper, a color filter system and an image feature recognition system were developed to process image recognition and classification of the target. Firstly, through analysing the distribution of the target color in color space, the multi-threshold and the self-tuning threshold mechanisms were developed. Secondly, in this paper, the feature of an object was determined through the boundary extraction algorithm and the Fourier descriptors without having the results being affected by the rotation or size of the object. Subsequently, outline feature for the non-linear non-separable type of data was classified by using the support vector machines. In this paper, the accuracy of image recognition for the robot vision system has been enhanced by processing of the two systems as described above, and the human-robot interaction control of the robot has successfully used under various lighting environments.

並列關鍵字

autonomous mobile robot ； human-robot interaction control ； boundary extraction algorithm ； Fourier descriptors ； support vector machines

被引用紀錄

朱家德（2016）。多功能陪伴老人互動海豹機器人〔碩士論文，國立虎尾科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0028-1107201600150600

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自主行動機器人之人機互動控制的設計與實現

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