Investigation of Biomimetic Robotic Construction Process
碩士 === 國立交通大學 === 建築研究所 === 105 === In this thesis, we use beavers as biomimetic objects to develop biomimetic robotic construction process. Beavers are famous as natural architects. The structure of beaver dam is stable and the dimension is large. The mechanism of constructing beaver dam includes t...
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ndltd-TW-105NCTU52220022019-05-15T23:09:04Z http://ndltd.ncl.edu.tw/handle/3tmgn3 Investigation of Biomimetic Robotic Construction Process 以機械手臂進行仿生構築之流程與工法研究 Cheng, Chi-Li 鄭基立 碩士 國立交通大學 建築研究所 105 In this thesis, we use beavers as biomimetic objects to develop biomimetic robotic construction process. Beavers are famous as natural architects. The structure of beaver dam is stable and the dimension is large. The mechanism of constructing beaver dam includes two processes. First, beavers select proper woods for construction and use streams to aggregate those woods to be self-assembled. This kind of natural materials is commonly seen in nature. Typhoons and rivers erode trees into mass driftwoods. These driftwoods are difficult to utilize by conventional construction process and are often discarded or burned. Therefore, if we can make good use of these natural materials instead of throwing them away, we can save lots of resources and provide design field with new possibilities. In this Implementation, we use sticks as scaled-down driftwoods. Biomimetic robotic construction process utilizes six degree of freedom robot and 3D camera and improves construction through machine learning. The machine learning mechanism estimates the relation between material properties and structure stability. Thus, the construction robot can select proper sticks for self-assembly by adapting local natural materials. Hou, June-Hao 侯君昊 2016 學位論文 ; thesis 86 zh-TW |
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碩士 === 國立交通大學 === 建築研究所 === 105 === In this thesis, we use beavers as biomimetic objects to develop biomimetic robotic construction process. Beavers are famous as natural architects. The structure of beaver dam is stable and the dimension is large. The mechanism of constructing beaver dam includes two processes. First, beavers select proper woods for construction and use streams to aggregate those woods to be self-assembled. This kind of natural materials is commonly seen in nature. Typhoons and rivers erode trees into mass driftwoods. These driftwoods are difficult to utilize by conventional construction process and are often discarded or burned. Therefore, if we can make good use of these natural materials instead of throwing them away, we can save lots of resources and provide design field with new possibilities. In this Implementation, we use sticks as scaled-down driftwoods. Biomimetic robotic construction process utilizes six degree of freedom robot and 3D camera and improves construction through machine learning. The machine learning mechanism estimates the relation between material properties and structure stability. Thus, the construction robot can select proper sticks for self-assembly by adapting local natural materials.
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author2 |
Hou, June-Hao |
author_facet |
Hou, June-Hao Cheng, Chi-Li 鄭基立 |
author |
Cheng, Chi-Li 鄭基立 |
spellingShingle |
Cheng, Chi-Li 鄭基立 Investigation of Biomimetic Robotic Construction Process |
author_sort |
Cheng, Chi-Li |
title |
Investigation of Biomimetic Robotic Construction Process |
title_short |
Investigation of Biomimetic Robotic Construction Process |
title_full |
Investigation of Biomimetic Robotic Construction Process |
title_fullStr |
Investigation of Biomimetic Robotic Construction Process |
title_full_unstemmed |
Investigation of Biomimetic Robotic Construction Process |
title_sort |
investigation of biomimetic robotic construction process |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/3tmgn3 |
work_keys_str_mv |
AT chengchili investigationofbiomimeticroboticconstructionprocess AT zhèngjīlì investigationofbiomimeticroboticconstructionprocess AT chengchili yǐjīxièshǒubìjìnxíngfǎngshēnggòuzhúzhīliúchéngyǔgōngfǎyánjiū AT zhèngjīlì yǐjīxièshǒubìjìnxíngfǎngshēnggòuzhúzhīliúchéngyǔgōngfǎyánjiū |
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