{ "types" : { "Bookmark" : { "pluralLabel" : "Bookmarks" }, "Publication" : { "pluralLabel" : "Publications" }, "GoldStandardPublication" : { "pluralLabel" : "GoldStandardPublications" }, "GoldStandardBookmark" : { "pluralLabel" : "GoldStandardBookmarks" }, "Tag" : { "pluralLabel" : "Tags" }, "User" : { "pluralLabel" : "Users" }, "Group" : { "pluralLabel" : "Groups" }, "Sphere" : { "pluralLabel" : "Spheres" } }, "properties" : { "count" : { "valueType" : "number" }, "date" : { "valueType" : "date" }, "changeDate" : { "valueType" : "date" }, "url" : { "valueType" : "url" }, "id" : { "valueType" : "url" }, "tags" : { "valueType" : "item" }, "user" : { "valueType" : "item" } }, "items" : [ { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/290d1fbb892c1ed14af70f322143c42ec/intcdc", "tags" : [ "myown","itech","sustainable","from:hansjakobwagner","robotic","adaptive","computer","rp4","peer","bamboo","machine","structures","timber","interaction","wood","human","vision" ], "intraHash" : "90d1fbb892c1ed14af70f322143c42ec", "interHash" : "d100a9c81419d35cb8dbaac4c7463ffd", "label" : "Augmented Accuracy: A Human-Machine Integrated Adaptive Fabrication Workflow for Bamboo", "user" : "intcdc", "description" : "", "date" : "2021-09-15 14:28:47", "changeDate" : "2023-01-20 18:09:14", "count" : 5, "pub-type": "inproceedings", "booktitle": "Proceedings of the 39th eCAADe Conference","publisher":"Cumincad","address":"Novi Sad", "year": "2021", "url": "http://papers.cumincad.org/cgi-bin/works/paper/ecaade2021_169", "author": [ "Yue Qi","Ruqing Zhong","Benjamin Kaiser","Yasaman Tahouni","Hans Jakob Wagner","Alexander Verl","Achim Menges" ], "authors": [ {"first" : "Yue", "last" : "Qi"}, {"first" : "Ruqing", "last" : "Zhong"}, {"first" : "Benjamin", "last" : "Kaiser"}, {"first" : "Yasaman", "last" : "Tahouni"}, {"first" : "Hans Jakob", "last" : "Wagner"}, {"first" : "Alexander", "last" : "Verl"}, {"first" : "Achim", "last" : "Menges"} ], "editor": [ "V Stojakovic","B Tepavcevic" ], "editors": [ {"first" : "V", "last" : "Stojakovic"}, {"first" : "B", "last" : "Tepavcevic"} ], "volume": "1","pages": "345--354","abstract": "Despite being sustainable, strong and lightweight, naturally grown bamboo poles are currently used in restricted building typologies. This is due to the large tolerances in the built structures, which is caused by the variations in the dimensions and geometry ofnatural material as well as the manual, uninformed and imprecise assembly methods. In previous work, we introduced an adaptive fabrication method for bamboo structures that can monitor the fabrication process and compensate for deviations between built and designed form. As a proofofconcept, the method is suitable for small scale bamboo structures in 2D- or simple 3D configuration. This paper extends the previous method by integrating the adaptation strategies into a cohesive fabrication and assembly workflow for large scale complex bamboo structures. To enable that, a more effective sensor localization method, adaptation algorithm, connection and assembly system, as well as web-based user interface are developed. The effectiveness ofthe proposed methods is demonstrated through the fabrication of a pavilion scale branching bamboo structure that complies with intended geometric boundary conditions. Even though the material has substantial geometrical variations, the final structure shows small geometric deviations and a successful interface with the prefabricated roofelements. Our work shows how vernacular materials and processes can be digitally augmented in order to reliably produce building structures, hence enabling their usage in modern applications to a larger extent.", "file" : ":C\\:/Users/ac128044/Google Drive/ICD_Wagner/01_Publikationen/PUBLICATION_COLLECTION/2021_ECAADE_AUGMENTED_ACCURACY.pdf:pdf", "bibtexKey": "Qi2021" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/28d5126b4bed5e1b457139dfacb056a64/intcdc", "tags" : [ "myown","ap2","natural","from:hansjakobwagner","adaptive","computer","rp4","material","peer","bamboo","construction","fabrication","timber","vision","tolerance" ], "intraHash" : "8d5126b4bed5e1b457139dfacb056a64", "interHash" : "d3a6154979b8e73a01371a2cf3614eea", "label" : "Working with Uncertainties: An Adaptive Fabrication Workflow for Bamboo Structures", "user" : "intcdc", "description" : "", "date" : "2020-09-18 10:42:14", "changeDate" : "2023-01-20 17:48:25", "count" : 4, "pub-type": "inproceedings", "booktitle": "Proceedings of the 2020 DigitalFUTURES","publisher":"Springer Nature Switzerland AG", "year": "2020", "url": "", "author": [ "Yue Qi","Ruqing Zhong","Benjamin Kaiser","Long Nguyen","Hans Jakob Wagner","Alexander Verl","Achim Menges" ], "authors": [ {"first" : "Yue", "last" : "Qi"}, {"first" : "Ruqing", "last" : "Zhong"}, {"first" : "Benjamin", "last" : "Kaiser"}, {"first" : "Long", "last" : "Nguyen"}, {"first" : "Hans Jakob", "last" : "Wagner"}, {"first" : "Alexander", "last" : "Verl"}, {"first" : "Achim", "last" : "Menges"} ], "editor": [ "P. F. Yuan","J. Yao","C. Yan","X. Wang","N. Leach" ], "editors": [ {"first" : "P. F.", "last" : "Yuan"}, {"first" : "J.", "last" : "Yao"}, {"first" : "C.", "last" : "Yan"}, {"first" : "X.", "last" : "Wang"}, {"first" : "N.", "last" : "Leach"} ], "abstract": "This paper presents and investigates a cyber-physical fabrication workflow, which can respond to the deviations between built- and designed form in real-time with vision augmentation. We apply this method for large scale structures built from natural bamboo poles. Raw bamboo poles obtain evolutionarily optimized fibrous layouts ideally suitable for lightweight and sustainable building construction. Nevertheless, their intrinsically imprecise geometries pose a challenge for reliable, automated construction processes. Despite recent digital advancements, building with bamboo poles is still a labor-intensive task and restricted to building typologies where accuracy is of minor importance. The integration of structural bamboo poles with other building layers is often limited by tolerance issues at the interfaces, especially for large scale structures where deviations accumulate incrementally. To address these challenges, an adaptive fabrication process is developed, in which existing deviations can be compensated by changing the geometry of subsequent joints to iteratively correct the pose of further elements. A vision-based sensing system is employed to three-dimensionally scan the bamboo elements before and during construction. Computer vision algorithms are used to process and interpret the sensory data. The updated conditions are streamed to the computational model which computes tailor-made bending stiff joint geometries that can then be directly fabricated on-the-fly. In this paper, we contextualize our research and investigate the performance domains of the proposed workflow.", "file" : ":C\\:/Users/ac128044/Google Drive/ICD_Wagner/01_Publikationen/2006_VISUAL_SEMANTICS/2005_CDRF_Tongji_2020/20200624_Submission_2/Submission/Working with Uncertainties_An Adaptive Fabrication Workflow for Bamboo Structures_0624.pdf:pdf", "bibtexKey": "Qi" } ] }