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Fuzzy Target Tracking and Obstacle Avoidance of Mobile Robots with a Stereo Vision System

並列摘要


In this paper, a two-level hierarchical intelligent control system is developed on a mobile robot to deal with target tracking and obstacle avoidance tasks. A stereo vision subsystem is first introduced. It can perceive video information in the environment to locate objects, including locating targets and obstacles precisely. This subsystem possesses two CCD cameras mounted on the top of a robot to obtain images from the surroundings. And then, based on the sensed image data in the indoor environment, a robot behavior decision-making subsystem with a fuzzy control strategy is proposed for target tracking and obstacle avoidance. Under this decision-making strategy, the robot can respond correctly to complete the desired task. Finally, site experiments are performed to show that the proposed schemes are feasible and effective.

被引用紀錄


黃楷翔(2011)。模糊行為決策於視覺自主人形機器人之設計〔博士論文,淡江大學〕。華藝線上圖書館。https://doi.org/10.6846/TKU.2011.00242
Zhuang, Z. R. (2011). 應用視覺資訊與Sugeno模糊推論規劃 自走車避障的運動軌跡 [master's thesis, National Taipei University of Technology]. Airiti Library. https://doi.org/10.6841/NTUT.2011.00376
Wong, C. F. (2017). 多台自動引導車目標跟隨及避障功能之設計與實現 [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201703581
溫詠仁(2011)。輪型機器人智慧化跟隨與召喚之設計與實現〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2011.00882

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