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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/35382


    Title: PC-based控制之人型機器人的同時自我定位與建圖
    Other Titles: Simultaneous localization and mapping for a PC-based controlled humanoid robot
    Authors: 蔡鎮全;Tsai, Jen-chuan
    Contributors: 淡江大學機械與機電工程學系碩士班
    王銀添;Wang, Yin-tien
    Keywords: 人型機器人;PC-Based控制器;運動學;卡爾曼;自我定位;humanoid robot;PC-based Controller;Kinematic;Kalman Filter;Robot Localization
    Date: 2007
    Issue Date: 2010-01-11 06:27:46 (UTC+8)
    Abstract: 本研究實現小型(Kidsize)人型機器人在環境中的同時自我定位與建立地圖功能。首先,設計與製作符合RoboCup規格的人型機器人;其次,探討人型機器人正反向運動學,進而規劃機器人的行走步態。最後,使用卡爾曼濾波器實現機器人同時自我定位與建圖功能。藉由電腦模擬與實驗完成同時自我定位與建圖演算法。實驗結果證明機器人在足球場上可以依賴已知位置的標示物達到自我定位。
    In this thesis, a simultaneous localization and mapping (SLAM) algorithm is developed for a RoboCup Kidsize humanoid robot. This research is divided into three stages. First, we design and fabricate a humanoid robot which is conformed to the regulation of RoboCup Kidsize humanoid robot league. Second, forward and inverse kinematics for the designed humanoid robot is investigated. Based on the kinematics analysis, several walking patterns are also planned for the robot. Finally, we utilize Kalman filter to implement SLAM on this humanoid robot system. Both of the computer simulation and experimental work are performed to verify the proposed SLAM algorithm. The results show that the humanoid robot system can locate its position on a planar soccer field according to the position of a beacon.
    Appears in Collections:[Graduate Institute & Department of Mechanical and Electro-Mechanical Engineering] Thesis

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