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  <doc>
    <id>3342</id>
    <completedYear/>
    <publishedYear>2019</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>133</pageFirst>
    <pageLast>139</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Universitätsverlag der TU Berlin</publisherName>
    <publisherPlace>Berlin</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
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    <title language="deu">Ansatz zur automatisierten Ableitung eines objektorientierten BIM-Modells in eine relationelle Datenbank</title>
    <parentTitle language="deu">31. Forum Bauinformatik: 11. bis 13. September 2019 in Berlin, proceedings</parentTitle>
    <identifier type="isbn">978-3-7983-3105-1</identifier>
    <identifier type="doi">10.14279/depositonce-8763</identifier>
    <enrichment key="opus.import.date">2022-04-05T16:41:22+00:00</enrichment>
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    <enrichment key="opus.import.user">importuser</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Friedrich Eder</author>
    <author>Thomas Euringer</author>
    <author>Mathias Obergrießer</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Bauinformatik</value>
    </subject>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>BIM</value>
    </subject>
    <collection role="institutes" number="FakBau">Fakultät Bauingenieurwesen</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
    <collection role="institutes" number="">Labor für Bauinformatik</collection>
  </doc>
  <doc>
    <id>5091</id>
    <completedYear/>
    <publishedYear>2011</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>430</pageFirst>
    <pageLast>437</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>American Society of Civil Engineers</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Integration of geotechnical design and analysis processes using a parametric and 3D-model based approach</title>
    <abstract language="eng">The aim of this work is to improve the integration between the geotechnical and infrastructural designing, modeling and analyzing processes. Up to now these three planning stages are executed isolated and without the required data exchange between each other. This separation leads to time-consuming and expensive manual re-input of geometric and semantic data. Currently, roads are designed using the traditional approach which is based on various 2D drawings. The current design process focuses on the roadway itself, additional geotechnical conditions such as the slope angle of the dam or the position of a retaining wall are not considered. To solve these problems, a new parametric and 3D-model based approach has been developed in the research project ForBAU — The virtual construction site. This new approach is based on the traditional 2D infrastructure planning process, but includes a new parameterized 3D modeling concept. Different open data formats such as LandXML and GroundXML allow data integration with both, a parametric Computer Aided Design (CAD) system and a geotechnical engineering software. An automatic update function ensures data flow without loss of information. Usage of this new approach will accelerate the infrastructure design and provide a parametric 3D-model approach to close the gap between the geotechnical and the infrastructure planning process. This paper provides detailed information about this new integration concept and gives an overview on the various implementation steps.</abstract>
    <parentTitle language="eng">International Workshop on Computing in Civil Engineering, 19.-22.06.2011, Miami, Florida, USA</parentTitle>
    <identifier type="doi">10.1061/41182(416)53</identifier>
    <enrichment key="opus.import.date">2022-08-05T07:16:41+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Thomas Euringer</author>
    <author>Mathias Obergrießer</author>
    <author>André Borrmann</author>
    <author>Ernst Rank</author>
    <collection role="institutes" number="FakBau">Fakultät Bauingenieurwesen</collection>
    <collection role="othpublikationsherkunft" number="">Externe Publikationen</collection>
    <collection role="othforschungsschwerpunkt" number="16313">Gebäude und Infrastruktur</collection>
    <collection role="institutes" number="">Labor für Bauinformatik</collection>
  </doc>
  <doc>
    <id>5092</id>
    <completedYear/>
    <publishedYear>2009</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Civil-Comp Press</publisherName>
    <publisherPlace>Stirlingshire, UK</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">GroundXML: An addition of aligmnent and subsoil specific cross-sectional data to the LandXML scheme</title>
    <parentTitle language="eng">Proceedings of the Twelfth International Conference on Civil, Structural and Environmental Engineering Computing, Funchal, Madeira, Portugal, 1-4 September 2009</parentTitle>
    <identifier type="isbn">9781905088300</identifier>
    <identifier type="isbn">9781905088324</identifier>
    <enrichment key="opus.import.date">2022-08-05T07:16:41+00:00</enrichment>
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    <enrichment key="OtherSeries">Civil-Comp Proceedings ; 91</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Thomas Euringer</author>
    <author>Mathias Obergrießer</author>
    <author>Yang Ji</author>
    <author>T. Baumgärtel</author>
    <author>André Borrmann</author>
    <author>Ernst Rank</author>
    <collection role="institutes" number="FakBau">Fakultät Bauingenieurwesen</collection>
    <collection role="othpublikationsherkunft" number="">Externe Publikationen</collection>
    <collection role="othforschungsschwerpunkt" number="16313">Gebäude und Infrastruktur</collection>
    <collection role="institutes" number="">Labor für Bauinformatik</collection>
  </doc>
  <doc>
    <id>5211</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>325</pageFirst>
    <pageLast>332</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
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    <publisherName>I.A.A.R.C.</publisherName>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">Towards interfacing human centered design processes with the AEC industry by leveraging BIM-based planning methodologies</title>
    <abstract language="eng">Digital workflows in the Architecture, Engineering and Construction (AEC) industry have been working with a wide range of software solutions trying to enable a Design-to-Production (DtP) end-to-end data flow. Thereby, state-of-the-art software solutions attempt to streamline the design and production processes accordingly.&#13;
&#13;
However, most digital workflows lack in terms of adequate sequential data preparation, agglomeration, and interfacing capabilities for consecutive design phases. These issues result in long, tedious correction loops, a wide range of software solutions and extensions to mitigate the issues. In addition, many digital workflows do not consider or integrate construction, production and machine relevant data holistically (respectively geometry and semantics). In this context, the production relevant data in from of human-centered work process data referring to digital human models (DHM), derived human abilities, safety and ergonomic criteria are often neglected. However, this is essential to interface the construction, human and machine relevant data in a holistic manner.&#13;
&#13;
This paper therefore proposes a DtP-workflow which is intended to solve some of the issues by interfacing relevant software solutions incorporating construction, production (including DHM and more) and machine relevant data in a holistic manner using a Building Information Modeling (BIM)-approach (based on the IFC schema). In this regard, the DtP-workflow aims to reverse common top-down digital workflows by considering and integrating the relevant data for consecutive design phases from the beginning. Subsequently, the DtP-workflow should achieve a reduction in planning effort.</abstract>
    <parentTitle language="eng">40th International Symposium on Automation and Robotics in Construction (ISARC 2023): Chennai, India, July 3–9, 2023</parentTitle>
    <identifier type="doi">10.22260/ISARC2023/0045</identifier>
    <identifier type="isbn">978-0-6458322-0-4</identifier>
    <identifier type="issn">2413-5844</identifier>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <author>Marc Schmailzl</author>
    <author>M. Spitzhirn</author>
    <author>Friedrich Eder</author>
    <author>Georg Krüll</author>
    <author>Mathias Obergrießer</author>
    <author>Thomas Linner</author>
    <author>Wassim Albalkhy</author>
    <author>Zoubeir Lafhaj</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Architecture Engineering and Construction (AEC) industry</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Building Information Modeling (BIM)</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Interoperability</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Digital Human model (DHM)</value>
    </subject>
    <collection role="institutes" number="FakBau">Fakultät Bauingenieurwesen</collection>
    <collection role="othforschungsschwerpunkt" number="16313">Gebäude und Infrastruktur</collection>
  </doc>
  <doc>
    <id>5233</id>
    <completedYear/>
    <publishedYear>2011</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>528</pageFirst>
    <pageLast>535</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>American Society of Civil Engineers ASCE</publisherName>
    <publisherPlace>Reston, VA</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">Toward the exchange of parametric bridge models using a neutral data format</title>
    <abstract language="eng">While there are mature data models for exchanging semantically rich building models, no means for exchanging bridge models using a neutral data format exist so far. A major challenge lies in the fact that a bridge's geometry is often described in parametric terms, using geometric constraints and mathematical expressions to describe dependencies between different dimensions. Since the current draft of IFC-Bridge does not provide a parametric geometric description, this paper presents a possible extension and describes in detail the object-oriented data model proposed to capture parametric design including geometric and dimensional constraints. The feasibility of the concept has been verified by actually implementing the exchange of parametric models between two different computer-aided design (CAD) applications.</abstract>
    <parentTitle language="eng">Computing in Civil Engineering 2011, Proceedings of the 2011 ASCE International workshop ORKSHOP on Computing in civil engineering, June 19-22, 2011, Miami, Florida</parentTitle>
    <identifier type="doi">10.1061/41182(416)65</identifier>
    <enrichment key="opus.import.date">2022-08-20T07:06:56+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">importuser</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Yang Ji</author>
    <author>André Borrmann</author>
    <author>Mathias Obergrießer</author>
    <collection role="institutes" number="FakBau">Fakultät Bauingenieurwesen</collection>
    <collection role="othpublikationsherkunft" number="">Externe Publikationen</collection>
    <collection role="othforschungsschwerpunkt" number="16313">Gebäude und Infrastruktur</collection>
  </doc>
  <doc>
    <id>5252</id>
    <completedYear/>
    <publishedYear>2012</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>581</pageFirst>
    <pageLast>587</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Taylor &amp; Francis</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
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    <title language="eng">Infrastructural BIM standards-development of an Information Delivery Manual for the geotechnical infrastructural design and analysis process</title>
    <abstract language="eng">Defining infrastructural BIM standards is an essential issue to successfully implement BIM in the civil engineering domain and to gain acceptance of engineers, software developers and executive users. For this reason the paper proposes a way to improve collaboration between the geomechanical infrastructural design and analysis process, by introducing an infrastructural Information Delivery Manual (IDM). To realize IDM, the traditional geomechanical infrastructural use case was defined and the process specific workflow (activities &amp; data exchange) was determined by developing an infrastructural process map. In order to ensure correct data exchange between the involved processes various Exchange Requirements (ER) were specified. But to the effect an infrastructural product model like IFC is still not available, the data exchange as well as the ER specification was made by different formats. At the end of this research activity the Model View Definition (MVD) was discussed.</abstract>
    <parentTitle language="eng">eWork and eBusiness in Architecture, Engineering and Construction - proceedings of the 9th European Conference on Product and Process Modelling 2012, Reykjavik, Iceland,25-27 July 2012</parentTitle>
    <identifier type="url">https://publications.cms.bgu.tum.de/2012_Obergriesser_ECPPM.pdf</identifier>
    <enrichment key="opus.import.date">2022-08-20T07:06:56+00:00</enrichment>
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    <enrichment key="opus.import.user">importuser</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Mathias Obergrießer</author>
    <author>Andre Borrmann</author>
    <collection role="institutes" number="FakBau">Fakultät Bauingenieurwesen</collection>
    <collection role="othpublikationsherkunft" number="">Externe Publikationen</collection>
    <collection role="othforschungsschwerpunkt" number="16313">Gebäude und Infrastruktur</collection>
  </doc>
  <doc>
    <id>6986</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>8</pageFirst>
    <pageLast>15</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>ACM</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-12-07</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Slim Digital Twin For A Smart City And Its Residents</title>
    <abstract language="eng">In the engineering domain, representing real-world objects using a body of data, called a digital twin, which is frequently updated by “live” measurements, has shown various advantages over tradi- tional modelling and simulation techniques. Consequently, urban planners have a strong interest in digital twin technology, since it provides them with a laboratory for experimenting with data before making far-reaching decisions. Realizing these decisions involves the work of professionals in the architecture, engineering and construction (AEC) domain who nowadays collaborate via the methodology of building information modeling (BIM). At the same time, the citizen plays an integral role both in the data acquisition phase, while also being a beneficiary of the improved resource management strategies. In this paper, we present a prototype for a “digital energy twin” platform we designed in cooperation with the city of Regensburg. We show how our extensible platform de- sign can satisfy the various requirements of multiple user groups through a series of data processing solutions and visualizations, in- dicating valuable design and implementation guidelines for future projects. In particular, we focus on two example use cases concern- ing building electricity monitoring and BIM. By implementing a flexible data processing architecture we can involve citizens in the data acquisition process, meeting the demands of modern users regarding maximum transparency in the handling of their data.</abstract>
    <parentTitle language="eng">SOICT '23: Proceedings of the 12th International Symposium on Information and Communication Technology, 2023, Hi Chi Minh, Vietnam</parentTitle>
    <identifier type="isbn">979-8-4007-0891-6</identifier>
    <identifier type="doi">10.1145/3628797.3628936</identifier>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Simon Thelen</author>
    <author>Friedrich Eder</author>
    <author>Matthias Melzer</author>
    <author>Danilo Weber Nunes</author>
    <author>Michael Stadler</author>
    <author>Christian Rechenauer</author>
    <author>Mathias Obergrießer</author>
    <author>Ruben Jubeh</author>
    <author>Klaus Volbert</author>
    <author>Jan Dünnweber</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>smart city</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>AI</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>digital twin</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>artificial intelligence</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>urban planning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>BIM</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>portal system</value>
    </subject>
    <collection role="institutes" number="FakIM">Fakultät Informatik und Mathematik</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
    <collection role="institutes" number="RCAI">Regensburg Center for Artificial Intelligence - RCAI</collection>
  </doc>
  <doc>
    <id>8025</id>
    <completedYear/>
    <publishedYear>2025</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>54</pageFirst>
    <pageLast>63</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName>Springer Nature</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
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    <title language="eng">Exploring the Potential of BIM Models for Deriving Synthetic Training Data for Machine Learning Applications, Montreal</title>
    <abstract language="eng">To increase the efficiency and quality of design and construction tasks, the use of Artificial Intelligence (AI) and Machine Learning (ML) offers a way to automate both repetitive and complex tasks. Many of these ML models rely heavily on large amounts of suitable, machine-readable, and labeled training data. Therefore, a variety of conceivable use cases for ML in the Architecture, Engineering and Construction (AEC) industry are difficult to implement due to a lack of freely and directly usable training data. The process of manually structuring and labeling existing data is time-consuming and needs in some cases skilled personnel to ensure the quality of the labeled data. Due to these factors, approaches for utilizing artificially generated data, referred to as synthetic data, are becoming more prevalent. Since Building Information Models contain a large amount of information, deriving training data from these models presents an obvious route for generation of this data. There are many ML applications whose implementation is inhibited due to a lack of training data, for which model-based synthetic data offer a possible solution approach. The Industry Foundation Classes (IFC) standard provides a powerful exchange format for models independently of their authoring software. Parametric and generative approaches to model creation enable the generation of numerous different building models within a short period of time and with low effort. This paper presents a workflow for automated derivation of synthetic training data from rule-based or parametrically generated models combined with existing IFC datasets as a multimodal data repository. The method is validated by testing automated synthetically labeled image data for a plan detection task, which is carried out with the Object Detection Framework YOLOv8. The suggested workflow has the potential to enhance data accessibility, thereby contributing to the implementation of ML applications in the AEC industry.</abstract>
    <parentTitle language="eng">Advances in Information Technology in Civil and Building Engineering, Proceedings of ICCCBE 2024, Volume 2, Simulation and Automation</parentTitle>
    <identifier type="isbn">9783031873638</identifier>
    <identifier type="issn">2366-2557</identifier>
    <identifier type="doi">10.1007/978-3-031-87364-5_5</identifier>
    <enrichment key="OtherSeries">Lecture Notes in Civil Engineering ; 629</enrichment>
    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <enrichment key="ConferenceStatement">20th International Conference on Computing in Civil and Building Engineering, Montreal, Canada, August 25-28, 2024</enrichment>
    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Simon Konrad Hoeng</author>
    <author>Friedrich Eder</author>
    <author>Marc Schmailzl</author>
    <author>Mathias Obergrießer</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>KI</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>BIM</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Synthetic Data</value>
    </subject>
    <collection role="institutes" number="FakBau">Fakultät Bauingenieurwesen</collection>
    <collection role="othforschungsschwerpunkt" number="16311">Digitalisierung</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
  </doc>
  <doc>
    <id>7674</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
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    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2024-09-09</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Towards improving data interoperability for the reconstruction of existing buildings</title>
    <abstract language="eng">Digital representations of buildings are the supporting structures of various use-cases in the emerging field of data-driven decision making. From large scale applications in the context of city planning to the detailed evaluation of critical infrastructure they enable specialists to observe problems, interpret relationships, test solutions virtually and apply them in the real world. This is only feasible if the individual underlying digital model meets the requirements imposed by the analysis at hand.&#13;
In practice, especially models of existing buildings are not easy to come by as the information describing the existing structure is often scattered across multiple different data sources in various formats. Previous research efforts have outlined methodologies which leverage machine learning, computer vision and subsequent semantic enrichment in order to achieve the (re)construction of such building models. However, these methods are generally not integrated with each other, nor do they consider being able to interface with a shared repository of building related data.&#13;
In this paper we present a methodology which focuses on establishing a common context for all building related data by utilizing the Industry Foundation Classes (IFC) schema. In particular we focus on utilizing readily available geometric and semantic data originating from geographic information systems as a basis, subsequently referencing additional data sources in their corresponding context and finally outlining interfaces with downstream enrichment processes in both directions. Through incorporating contextualized (IFC) data into the early stages of the remodeling workflow, we outline an end-to-end process from the initial component-based data-acquisition to the as-built building information model. In establishing a standardized foundation for data exchange and collaboration it enables all stakeholders to work more seamlessly across different stages of the remodeling project.</abstract>
    <parentTitle language="eng">The 20th conference of the International Society for Computing in Civil and Building Engineering (ICCCBE 2024), August 25 to 28, 2024, Montreal</parentTitle>
    <note>Conference proceedings erscheinen voraussichtlich bei Springer Nature in der Reihe Lecture Notes in Civil Engineering</note>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Friedrich Eder</author>
    <author>Simon Konrad Hoeng</author>
    <author>Marc Schmailzl</author>
    <author>Thomas Linner</author>
    <author>Mathias Obergrießer</author>
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    <title language="eng">Enhancing Decision-Making for Human-Centered Construction Robotics: A Methodological Framework</title>
    <abstract language="eng">While the Architecture, Engineering, and Construction (AEC) industry is increasingly aware of the rising demands for productivity and human-centered construction improvements, the holistic adoption of robotics as a fundamental strategy to address these challenges has not yet reached comprehensive fruition. This paper therefore introduces a methodological framework aiming to address the industry's pressing need for a systematic approach for assessing the feasibility of integrating robotics into human-centered construction processes. It aims to enhance decision-making regarding the degree of automation in human-centered construction processes, ranging from partial to full robotization or non-robotization. The framework is characterized by a more holistic end-to-end data-/workflow and therefore adopts a multifaceted approach, leveraging BIM-based planning methodologies and integrating new technologies [e.g., Motion Capturing (MoCap), work process simulation software incorporating Digital Human Models (DHM), self-developed conversion/interfacing software and more] that have not been widely used in the industry to date. Subsequently, the framework is evaluated in a real-life bricklaying construction process to ensure a more application-based approach. Overall, the framework advances current construction processes with a more inclusive and conscious technology infill to empower construction professionals with the workflow and corresponding tools necessary for the practical integration of robotics into human-centered construction processes.</abstract>
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    <title language="eng">Enhancing Decision-Making for Human-Centered Construction Robotics: A Methodological Framework</title>
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By integrating process design with AI-based algorithms into simulation tools, various construction process layout variants including robot-assisted scenarios can be simulated and evaluated based on user-specific key performance indicators (e.g., ergonomic score, layouting parameters) to identify optimized solutions. A data processing algorithm automates the process, eliminating the need for manual simulation variations and resulting in increased operational productivity. The AI-based system evaluates and optimizes process layouts by adjusting control parameters. A case study on a brick laying process serves as an exemplary use case, highlighting the necessity and impact of adopting process optimization. The findings emphasize the transformative potential of automated&#13;
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