Mobile robotic fabrication beyond factory conditions: case study Mesh Mould wall of the DFAB HOUSE
Abstract The development of novel robotic fabrication technologies in architecture concentrates largely on integrating stationary industrial-type robots into off-site prefabrication processes. By contrast, few enabling robotic technologies exist today that allow robotic fabrication processes to be m...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Dörfler, Kathrin [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Nature Switzerland AG 2019 |
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| Übergeordnetes Werk: |
Enthalten in: Construction robotics - [Cham] : Springer International Publishing, 2017, 3(2019), 1-4 vom: 09. Sept., Seite 53-67 |
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| Übergeordnetes Werk: |
volume:3 ; year:2019 ; number:1-4 ; day:09 ; month:09 ; pages:53-67 |
| Links: |
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| DOI / URN: |
10.1007/s41693-019-00020-w |
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SPR038288982 |
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| 520 | |a Abstract The development of novel robotic fabrication technologies in architecture concentrates largely on integrating stationary industrial-type robots into off-site prefabrication processes. By contrast, few enabling robotic technologies exist today that allow robotic fabrication processes to be mobile and implemented directly on building sites. While mobile in situ fabrication offers a large range of architectural potentials, its realization requires to address fundamental challenges. First, the production of large-scale and potentially monolithic structures on-site requires an advanced robotic fabrication system that can fulfill the material, structural- and architectural-related demands associated with it. Second, the poorly structured nature of building sites requires mobile robotic systems to be equipped with advanced sensing and control solutions to contend with uncertain conditions found on-site. The research discussed in this paper addresses both of these subjects. It applies a novel construction system for non-standard reinforced concrete structures, termed Mesh Mould, to explore the fabrication of large-scale and monolithic building structures using a mobile robot on site. It further investigates sensor-integrated adaptive fabrication strategies to achieve the accurate fabrication of such a large-scale structure, and this is done despite prevalent uncertainties related to the building site environment, the mobile robotic system, and the material behavior during fabrication. The results of this research were realized in a slender, doubly curved, reinforced concrete wall at the DFAB HOUSE at NEST. This research demonstrator provides the unique opportunity to present robotic in situ fabrication not merely as a future possibility, but as a reality applied to a tangible construction project. | ||
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| 650 | 4 | |a Adaptive fabrication |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Walzer, Alexander N. |4 aut | |
| 700 | 1 | |a Buchli, Jonas |4 aut | |
| 700 | 1 | |a Gramazio, Fabio |4 aut | |
| 700 | 1 | |a Kohler, Matthias |4 aut | |
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10.1007/s41693-019-00020-w doi (DE-627)SPR038288982 (SPR)s41693-019-00020-w-e DE-627 ger DE-627 rakwb eng Dörfler, Kathrin verfasserin (orcid)0000-0001-6557-5604 aut Mobile robotic fabrication beyond factory conditions: case study Mesh Mould wall of the DFAB HOUSE 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Abstract The development of novel robotic fabrication technologies in architecture concentrates largely on integrating stationary industrial-type robots into off-site prefabrication processes. By contrast, few enabling robotic technologies exist today that allow robotic fabrication processes to be mobile and implemented directly on building sites. While mobile in situ fabrication offers a large range of architectural potentials, its realization requires to address fundamental challenges. First, the production of large-scale and potentially monolithic structures on-site requires an advanced robotic fabrication system that can fulfill the material, structural- and architectural-related demands associated with it. Second, the poorly structured nature of building sites requires mobile robotic systems to be equipped with advanced sensing and control solutions to contend with uncertain conditions found on-site. The research discussed in this paper addresses both of these subjects. It applies a novel construction system for non-standard reinforced concrete structures, termed Mesh Mould, to explore the fabrication of large-scale and monolithic building structures using a mobile robot on site. It further investigates sensor-integrated adaptive fabrication strategies to achieve the accurate fabrication of such a large-scale structure, and this is done despite prevalent uncertainties related to the building site environment, the mobile robotic system, and the material behavior during fabrication. The results of this research were realized in a slender, doubly curved, reinforced concrete wall at the DFAB HOUSE at NEST. This research demonstrator provides the unique opportunity to present robotic in situ fabrication not merely as a future possibility, but as a reality applied to a tangible construction project. Digital fabrication (dpeaa)DE-He213 Construction robotics (dpeaa)DE-He213 In situ fabrication (dpeaa)DE-He213 Adaptive fabrication (dpeaa)DE-He213 Mobile manipulation (dpeaa)DE-He213 Hack, Norman aut Sandy, Timothy aut Giftthaler, Markus aut Lussi, Manuel aut Walzer, Alexander N. aut Buchli, Jonas aut Gramazio, Fabio aut Kohler, Matthias aut Enthalten in Construction robotics [Cham] : Springer International Publishing, 2017 3(2019), 1-4 vom: 09. Sept., Seite 53-67 (DE-627)890238839 (DE-600)2897021-4 2509-8780 nnns volume:3 year:2019 number:1-4 day:09 month:09 pages:53-67 https://dx.doi.org/10.1007/s41693-019-00020-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2019 1-4 09 09 53-67 |
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10.1007/s41693-019-00020-w doi (DE-627)SPR038288982 (SPR)s41693-019-00020-w-e DE-627 ger DE-627 rakwb eng Dörfler, Kathrin verfasserin (orcid)0000-0001-6557-5604 aut Mobile robotic fabrication beyond factory conditions: case study Mesh Mould wall of the DFAB HOUSE 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Abstract The development of novel robotic fabrication technologies in architecture concentrates largely on integrating stationary industrial-type robots into off-site prefabrication processes. By contrast, few enabling robotic technologies exist today that allow robotic fabrication processes to be mobile and implemented directly on building sites. While mobile in situ fabrication offers a large range of architectural potentials, its realization requires to address fundamental challenges. First, the production of large-scale and potentially monolithic structures on-site requires an advanced robotic fabrication system that can fulfill the material, structural- and architectural-related demands associated with it. Second, the poorly structured nature of building sites requires mobile robotic systems to be equipped with advanced sensing and control solutions to contend with uncertain conditions found on-site. The research discussed in this paper addresses both of these subjects. It applies a novel construction system for non-standard reinforced concrete structures, termed Mesh Mould, to explore the fabrication of large-scale and monolithic building structures using a mobile robot on site. It further investigates sensor-integrated adaptive fabrication strategies to achieve the accurate fabrication of such a large-scale structure, and this is done despite prevalent uncertainties related to the building site environment, the mobile robotic system, and the material behavior during fabrication. The results of this research were realized in a slender, doubly curved, reinforced concrete wall at the DFAB HOUSE at NEST. This research demonstrator provides the unique opportunity to present robotic in situ fabrication not merely as a future possibility, but as a reality applied to a tangible construction project. Digital fabrication (dpeaa)DE-He213 Construction robotics (dpeaa)DE-He213 In situ fabrication (dpeaa)DE-He213 Adaptive fabrication (dpeaa)DE-He213 Mobile manipulation (dpeaa)DE-He213 Hack, Norman aut Sandy, Timothy aut Giftthaler, Markus aut Lussi, Manuel aut Walzer, Alexander N. aut Buchli, Jonas aut Gramazio, Fabio aut Kohler, Matthias aut Enthalten in Construction robotics [Cham] : Springer International Publishing, 2017 3(2019), 1-4 vom: 09. Sept., Seite 53-67 (DE-627)890238839 (DE-600)2897021-4 2509-8780 nnns volume:3 year:2019 number:1-4 day:09 month:09 pages:53-67 https://dx.doi.org/10.1007/s41693-019-00020-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2019 1-4 09 09 53-67 |
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10.1007/s41693-019-00020-w doi (DE-627)SPR038288982 (SPR)s41693-019-00020-w-e DE-627 ger DE-627 rakwb eng Dörfler, Kathrin verfasserin (orcid)0000-0001-6557-5604 aut Mobile robotic fabrication beyond factory conditions: case study Mesh Mould wall of the DFAB HOUSE 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Abstract The development of novel robotic fabrication technologies in architecture concentrates largely on integrating stationary industrial-type robots into off-site prefabrication processes. By contrast, few enabling robotic technologies exist today that allow robotic fabrication processes to be mobile and implemented directly on building sites. While mobile in situ fabrication offers a large range of architectural potentials, its realization requires to address fundamental challenges. First, the production of large-scale and potentially monolithic structures on-site requires an advanced robotic fabrication system that can fulfill the material, structural- and architectural-related demands associated with it. Second, the poorly structured nature of building sites requires mobile robotic systems to be equipped with advanced sensing and control solutions to contend with uncertain conditions found on-site. The research discussed in this paper addresses both of these subjects. It applies a novel construction system for non-standard reinforced concrete structures, termed Mesh Mould, to explore the fabrication of large-scale and monolithic building structures using a mobile robot on site. It further investigates sensor-integrated adaptive fabrication strategies to achieve the accurate fabrication of such a large-scale structure, and this is done despite prevalent uncertainties related to the building site environment, the mobile robotic system, and the material behavior during fabrication. The results of this research were realized in a slender, doubly curved, reinforced concrete wall at the DFAB HOUSE at NEST. This research demonstrator provides the unique opportunity to present robotic in situ fabrication not merely as a future possibility, but as a reality applied to a tangible construction project. Digital fabrication (dpeaa)DE-He213 Construction robotics (dpeaa)DE-He213 In situ fabrication (dpeaa)DE-He213 Adaptive fabrication (dpeaa)DE-He213 Mobile manipulation (dpeaa)DE-He213 Hack, Norman aut Sandy, Timothy aut Giftthaler, Markus aut Lussi, Manuel aut Walzer, Alexander N. aut Buchli, Jonas aut Gramazio, Fabio aut Kohler, Matthias aut Enthalten in Construction robotics [Cham] : Springer International Publishing, 2017 3(2019), 1-4 vom: 09. Sept., Seite 53-67 (DE-627)890238839 (DE-600)2897021-4 2509-8780 nnns volume:3 year:2019 number:1-4 day:09 month:09 pages:53-67 https://dx.doi.org/10.1007/s41693-019-00020-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2019 1-4 09 09 53-67 |
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10.1007/s41693-019-00020-w doi (DE-627)SPR038288982 (SPR)s41693-019-00020-w-e DE-627 ger DE-627 rakwb eng Dörfler, Kathrin verfasserin (orcid)0000-0001-6557-5604 aut Mobile robotic fabrication beyond factory conditions: case study Mesh Mould wall of the DFAB HOUSE 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Abstract The development of novel robotic fabrication technologies in architecture concentrates largely on integrating stationary industrial-type robots into off-site prefabrication processes. By contrast, few enabling robotic technologies exist today that allow robotic fabrication processes to be mobile and implemented directly on building sites. While mobile in situ fabrication offers a large range of architectural potentials, its realization requires to address fundamental challenges. First, the production of large-scale and potentially monolithic structures on-site requires an advanced robotic fabrication system that can fulfill the material, structural- and architectural-related demands associated with it. Second, the poorly structured nature of building sites requires mobile robotic systems to be equipped with advanced sensing and control solutions to contend with uncertain conditions found on-site. The research discussed in this paper addresses both of these subjects. It applies a novel construction system for non-standard reinforced concrete structures, termed Mesh Mould, to explore the fabrication of large-scale and monolithic building structures using a mobile robot on site. It further investigates sensor-integrated adaptive fabrication strategies to achieve the accurate fabrication of such a large-scale structure, and this is done despite prevalent uncertainties related to the building site environment, the mobile robotic system, and the material behavior during fabrication. The results of this research were realized in a slender, doubly curved, reinforced concrete wall at the DFAB HOUSE at NEST. This research demonstrator provides the unique opportunity to present robotic in situ fabrication not merely as a future possibility, but as a reality applied to a tangible construction project. Digital fabrication (dpeaa)DE-He213 Construction robotics (dpeaa)DE-He213 In situ fabrication (dpeaa)DE-He213 Adaptive fabrication (dpeaa)DE-He213 Mobile manipulation (dpeaa)DE-He213 Hack, Norman aut Sandy, Timothy aut Giftthaler, Markus aut Lussi, Manuel aut Walzer, Alexander N. aut Buchli, Jonas aut Gramazio, Fabio aut Kohler, Matthias aut Enthalten in Construction robotics [Cham] : Springer International Publishing, 2017 3(2019), 1-4 vom: 09. Sept., Seite 53-67 (DE-627)890238839 (DE-600)2897021-4 2509-8780 nnns volume:3 year:2019 number:1-4 day:09 month:09 pages:53-67 https://dx.doi.org/10.1007/s41693-019-00020-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2019 1-4 09 09 53-67 |
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10.1007/s41693-019-00020-w doi (DE-627)SPR038288982 (SPR)s41693-019-00020-w-e DE-627 ger DE-627 rakwb eng Dörfler, Kathrin verfasserin (orcid)0000-0001-6557-5604 aut Mobile robotic fabrication beyond factory conditions: case study Mesh Mould wall of the DFAB HOUSE 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature Switzerland AG 2019 Abstract The development of novel robotic fabrication technologies in architecture concentrates largely on integrating stationary industrial-type robots into off-site prefabrication processes. By contrast, few enabling robotic technologies exist today that allow robotic fabrication processes to be mobile and implemented directly on building sites. While mobile in situ fabrication offers a large range of architectural potentials, its realization requires to address fundamental challenges. First, the production of large-scale and potentially monolithic structures on-site requires an advanced robotic fabrication system that can fulfill the material, structural- and architectural-related demands associated with it. Second, the poorly structured nature of building sites requires mobile robotic systems to be equipped with advanced sensing and control solutions to contend with uncertain conditions found on-site. The research discussed in this paper addresses both of these subjects. It applies a novel construction system for non-standard reinforced concrete structures, termed Mesh Mould, to explore the fabrication of large-scale and monolithic building structures using a mobile robot on site. It further investigates sensor-integrated adaptive fabrication strategies to achieve the accurate fabrication of such a large-scale structure, and this is done despite prevalent uncertainties related to the building site environment, the mobile robotic system, and the material behavior during fabrication. The results of this research were realized in a slender, doubly curved, reinforced concrete wall at the DFAB HOUSE at NEST. This research demonstrator provides the unique opportunity to present robotic in situ fabrication not merely as a future possibility, but as a reality applied to a tangible construction project. Digital fabrication (dpeaa)DE-He213 Construction robotics (dpeaa)DE-He213 In situ fabrication (dpeaa)DE-He213 Adaptive fabrication (dpeaa)DE-He213 Mobile manipulation (dpeaa)DE-He213 Hack, Norman aut Sandy, Timothy aut Giftthaler, Markus aut Lussi, Manuel aut Walzer, Alexander N. aut Buchli, Jonas aut Gramazio, Fabio aut Kohler, Matthias aut Enthalten in Construction robotics [Cham] : Springer International Publishing, 2017 3(2019), 1-4 vom: 09. Sept., Seite 53-67 (DE-627)890238839 (DE-600)2897021-4 2509-8780 nnns volume:3 year:2019 number:1-4 day:09 month:09 pages:53-67 https://dx.doi.org/10.1007/s41693-019-00020-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_266 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2019 1-4 09 09 53-67 |
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Enthalten in Construction robotics 3(2019), 1-4 vom: 09. Sept., Seite 53-67 volume:3 year:2019 number:1-4 day:09 month:09 pages:53-67 |
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Enthalten in Construction robotics 3(2019), 1-4 vom: 09. Sept., Seite 53-67 volume:3 year:2019 number:1-4 day:09 month:09 pages:53-67 |
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Digital fabrication Construction robotics In situ fabrication Adaptive fabrication Mobile manipulation |
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Construction robotics |
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Dörfler, Kathrin @@aut@@ Hack, Norman @@aut@@ Sandy, Timothy @@aut@@ Giftthaler, Markus @@aut@@ Lussi, Manuel @@aut@@ Walzer, Alexander N. @@aut@@ Buchli, Jonas @@aut@@ Gramazio, Fabio @@aut@@ Kohler, Matthias @@aut@@ |
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2019-09-09T00:00:00Z |
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By contrast, few enabling robotic technologies exist today that allow robotic fabrication processes to be mobile and implemented directly on building sites. While mobile in situ fabrication offers a large range of architectural potentials, its realization requires to address fundamental challenges. First, the production of large-scale and potentially monolithic structures on-site requires an advanced robotic fabrication system that can fulfill the material, structural- and architectural-related demands associated with it. Second, the poorly structured nature of building sites requires mobile robotic systems to be equipped with advanced sensing and control solutions to contend with uncertain conditions found on-site. The research discussed in this paper addresses both of these subjects. 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Dörfler, Kathrin |
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Mobile robotic fabrication beyond factory conditions: case study Mesh Mould wall of the DFAB HOUSE Digital fabrication (dpeaa)DE-He213 Construction robotics (dpeaa)DE-He213 In situ fabrication (dpeaa)DE-He213 Adaptive fabrication (dpeaa)DE-He213 Mobile manipulation (dpeaa)DE-He213 |
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mobile robotic fabrication beyond factory conditions: case study mesh mould wall of the dfab house |
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Mobile robotic fabrication beyond factory conditions: case study Mesh Mould wall of the DFAB HOUSE |
| abstract |
Abstract The development of novel robotic fabrication technologies in architecture concentrates largely on integrating stationary industrial-type robots into off-site prefabrication processes. By contrast, few enabling robotic technologies exist today that allow robotic fabrication processes to be mobile and implemented directly on building sites. While mobile in situ fabrication offers a large range of architectural potentials, its realization requires to address fundamental challenges. First, the production of large-scale and potentially monolithic structures on-site requires an advanced robotic fabrication system that can fulfill the material, structural- and architectural-related demands associated with it. Second, the poorly structured nature of building sites requires mobile robotic systems to be equipped with advanced sensing and control solutions to contend with uncertain conditions found on-site. The research discussed in this paper addresses both of these subjects. It applies a novel construction system for non-standard reinforced concrete structures, termed Mesh Mould, to explore the fabrication of large-scale and monolithic building structures using a mobile robot on site. It further investigates sensor-integrated adaptive fabrication strategies to achieve the accurate fabrication of such a large-scale structure, and this is done despite prevalent uncertainties related to the building site environment, the mobile robotic system, and the material behavior during fabrication. The results of this research were realized in a slender, doubly curved, reinforced concrete wall at the DFAB HOUSE at NEST. This research demonstrator provides the unique opportunity to present robotic in situ fabrication not merely as a future possibility, but as a reality applied to a tangible construction project. © Springer Nature Switzerland AG 2019 |
| abstractGer |
Abstract The development of novel robotic fabrication technologies in architecture concentrates largely on integrating stationary industrial-type robots into off-site prefabrication processes. By contrast, few enabling robotic technologies exist today that allow robotic fabrication processes to be mobile and implemented directly on building sites. While mobile in situ fabrication offers a large range of architectural potentials, its realization requires to address fundamental challenges. First, the production of large-scale and potentially monolithic structures on-site requires an advanced robotic fabrication system that can fulfill the material, structural- and architectural-related demands associated with it. Second, the poorly structured nature of building sites requires mobile robotic systems to be equipped with advanced sensing and control solutions to contend with uncertain conditions found on-site. The research discussed in this paper addresses both of these subjects. It applies a novel construction system for non-standard reinforced concrete structures, termed Mesh Mould, to explore the fabrication of large-scale and monolithic building structures using a mobile robot on site. It further investigates sensor-integrated adaptive fabrication strategies to achieve the accurate fabrication of such a large-scale structure, and this is done despite prevalent uncertainties related to the building site environment, the mobile robotic system, and the material behavior during fabrication. The results of this research were realized in a slender, doubly curved, reinforced concrete wall at the DFAB HOUSE at NEST. This research demonstrator provides the unique opportunity to present robotic in situ fabrication not merely as a future possibility, but as a reality applied to a tangible construction project. © Springer Nature Switzerland AG 2019 |
| abstract_unstemmed |
Abstract The development of novel robotic fabrication technologies in architecture concentrates largely on integrating stationary industrial-type robots into off-site prefabrication processes. By contrast, few enabling robotic technologies exist today that allow robotic fabrication processes to be mobile and implemented directly on building sites. While mobile in situ fabrication offers a large range of architectural potentials, its realization requires to address fundamental challenges. First, the production of large-scale and potentially monolithic structures on-site requires an advanced robotic fabrication system that can fulfill the material, structural- and architectural-related demands associated with it. Second, the poorly structured nature of building sites requires mobile robotic systems to be equipped with advanced sensing and control solutions to contend with uncertain conditions found on-site. The research discussed in this paper addresses both of these subjects. It applies a novel construction system for non-standard reinforced concrete structures, termed Mesh Mould, to explore the fabrication of large-scale and monolithic building structures using a mobile robot on site. It further investigates sensor-integrated adaptive fabrication strategies to achieve the accurate fabrication of such a large-scale structure, and this is done despite prevalent uncertainties related to the building site environment, the mobile robotic system, and the material behavior during fabrication. The results of this research were realized in a slender, doubly curved, reinforced concrete wall at the DFAB HOUSE at NEST. This research demonstrator provides the unique opportunity to present robotic in situ fabrication not merely as a future possibility, but as a reality applied to a tangible construction project. © Springer Nature Switzerland AG 2019 |
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Mobile robotic fabrication beyond factory conditions: case study Mesh Mould wall of the DFAB HOUSE |
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https://dx.doi.org/10.1007/s41693-019-00020-w |
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Hack, Norman Sandy, Timothy Giftthaler, Markus Lussi, Manuel Walzer, Alexander N. Buchli, Jonas Gramazio, Fabio Kohler, Matthias |
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Hack, Norman Sandy, Timothy Giftthaler, Markus Lussi, Manuel Walzer, Alexander N. Buchli, Jonas Gramazio, Fabio Kohler, Matthias |
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10.1007/s41693-019-00020-w |
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2024-07-03T17:13:42.645Z |
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| score |
7.3974915 |