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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 羅仁權(Ren C. Luo) | |
dc.contributor.author | Kuan-Hsuan Huang | en |
dc.contributor.author | 黃冠軒 | zh_TW |
dc.date.accessioned | 2021-06-16T03:56:42Z | - |
dc.date.available | 2015-02-04 | |
dc.date.copyright | 2015-02-04 | |
dc.date.issued | 2014 | |
dc.date.submitted | 2014-12-07 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/55325 | - |
dc.description.abstract | 本論文之研究著重於俱目標偵測及扣合功能之全自主行動搬運機器人應用於老人及行動不便人士照顧。行動搬運機器人為機器人學中廣為運用的研究領域。目前在工業運用的行動式搬運機器人大多採用設置於環境或目標物的電線、磁軌或標誌達到目標辨識、自動導航與路徑規劃等功能。若將此種機器人運用在家庭環境,在不確定因素較大的場合,或是環境無法設置電線或磁軌等裝置的時候,使用上將受到限制。
本論文提出應用於老人及殘障照顧之全自主行動搬運機器人。一位老人或行動不便者坐在一張椅子上,機器人可以將自動偵測環境、辨識椅子,將行動不便者連帶椅子搬運至想到達的地方,完成輔助老年人或殘障者行動之目的。此機器人將可應用在家庭環境,甚至是醫院或養老院中。論文描述機器人之硬體架構、感測器設置、辨識系統、行動路徑規劃,使機器人能夠在不設置標誌或電線的環境中也能達成搬運任務。本論文在Rao-Blackwellised粒子濾波與蒙地卡羅定位法的架構中提出建置地圖與自動導航之系統,且發展演算法處理雷射測距儀之資訊與三微資料的特徵粹取,使機器人能夠準確自主偵測並辨識目標物,並完成目標物之搬運。 本論文包含機器人之地圖建置、定位、目標感測、動作與路徑規劃和自主扣合功能。採用演算法以及感測器中的資料,使行動式搬運機器人能在各種環境中自主運作。論文中以各種演算法、三維感知與自動扣合功能以及實驗結果,驗證行動搬運機器人之概念。 | zh_TW |
dc.description.abstract | The objective of this paper is to describe the autonomous mobile carrier robot system with perception and docking for elder and handicap care. Mobile carrier robot is one of the most widely used applications in robotics. Nowadays, most of the carrier robots for industrial applications are autonomously guided by signs, magnetic lines or electrical wires marked on the ground. The robots would be unsuitable for domestic use or for highly uncertain labor environment, since it is difficult to set up the wires or signs in every environments where the robot works.
The mobile carrier robot system for elder and handicap care is addressed in this thesis. The robot is able to autonomously carry a chair with an elderly person or a handicapped to desired place, aiding the person to move around. This kind of applications is helpful in domestic environment, or even for hospitals or nursing facilities. To reach this goal, problem of sensor perception and motion planning strategy is needed, making the robot without the need to follow markers or wires. In this paper, we developed map construction and navigation system based on Rao-Blackwellised particle filter and Monte Carlo localization. We also developed algorithms processing the signal from laser range finder and feature extraction methodologies of 3D data, so that the robot may detect and recognize the target autonomously with high stability and complete the carrying process. The thesis contains map building, localizing, perception system, motion planning and docking. With the algorithm and the data from both the laser range finder and the Xtion sensor, the carrier robot will be suitable to navigate through more versatile conditions. In this thesis, various algorithms for 3D perception and docking are developed, followed with experimental implementation and successfully demonstrated the proof of concept of the mobile carrier robot. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T03:56:42Z (GMT). No. of bitstreams: 1 ntu-103-R01921011-1.pdf: 10093197 bytes, checksum: 5afa7a3b9ca7bb0e9a10ba25aed10b50 (MD5) Previous issue date: 2014 | en |
dc.description.tableofcontents | 口試委員會審定書 #
誌謝 i 中文摘要 ii ABSTRACT iii CONTENTS v LIST OF FIGURES viii LIST OF TABLES xi Chapter 1 Introduction 1 1.1 The mobile robot system 1 1.2 Motivation and Objectives 3 1.3 Organization 4 Chapter 2 System Structure 5 2.1 Hardware Design 5 2.1.1 Mechanical Structure 5 2.1.2 Housing and Sensors 9 2.2 System Organization 11 2.2.1 Scenario 11 2.2.2 Concept of Sensor Fusion 11 2.2.3 System Structure 13 Chapter 3 Mobile Robot System Model 15 3.1 Position Model 16 3.2 Motion model 17 Chapter 4 Perception System 21 4.1 Laser Range Finder 21 4.1.1 About Laser Range Finder 21 4.1.2 Measurement Model 23 4.2 RGB-D Camera: Xtion 27 Chapter 5 Map Construction and Navigation 30 5.1 Monte Carlo Localization 30 5.2 Rao-Blackwellized SLAM 34 5.3 Exploration and Navigation System 36 5.3.1 Exploration and Navigation 36 5.3.2 Environment Surrounding Strategy 37 Chapter 6 Autonomous Target Perception of Laser Range Finder 42 6.1 Clustering and Segmentation 44 6.2 Critical Point and Center Finding 44 6.3 Distance Matching and Decision of Entry Points 46 6.4 Motion Planning and Localization Strategy 48 Chapter 7 Feature Extraction of RGB-D Camera 52 7.1 Depth Layer Extraction 53 7.2 Plane Feature Detecting Algorithm 56 7.3 Depth Vector Feature Algorithm 59 7.4 Target conditional decision and Docking 63 Chapter 8 Experimental Results 64 8.1 Map Construction 64 8.2 Entry Point Detection 67 8.3 Distance Measuring and Localization 71 8.4 3D Perception Experiments 73 Chapter 9 Conclusion, contribution and future work 81 9.1 Conclusion 81 9.2 Contribution 82 9.3 Future Work 82 REFERENCE 84 VITA 87 | |
dc.language.iso | en | |
dc.title | 俱目標偵測及扣合功能之全自主行動搬運機器人應用於老人及行動不便人士照顧 | zh_TW |
dc.title | Autonomous Mobile Carrier Robot with Perception and Docking for Elder and Handicap Care | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-1 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 陳俊宏(Chun H. Chen) | |
dc.contributor.oralexamcommittee | 蘇國嵐(Kuo-Lan Su),郭重顯(Chung-Hsien Kuo) | |
dc.subject.keyword | 雷射測距儀,Rao-Blackwellised粒子濾波,蒙地卡羅定位法,行動規劃,深度攝影機,特徵粹取, | zh_TW |
dc.subject.keyword | Laser range finder,Rao-Blackwellised particle filter,Monte Carlo localization,Motion planning,Depth camera,Feature extraction, | en |
dc.relation.page | 87 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2014-12-08 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 電機工程學研究所 | zh_TW |
顯示於系所單位: | 電機工程學系 |
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