TY - CHAP A1 - Gebhardt, H. A1 - Linner, Thomas ED - Richter, Götz T1 - DIN Arbeitsausschuss „Alternde Gesellschaften“ : Einleitung T2 - Arbeit und Altern : Eine Bilanz nach 20 Jahren Forschung und Praxis Y1 - 2021 SN - 9783748909378 U6 - https://doi.org/10.5771/9783748909378-445 SP - 445 EP - 450 PB - Nomos ER - TY - CHAP A1 - Dieckhoff, Christina A1 - Barlieb, Christophe A1 - Groth, Christian A1 - Linner, Thomas A1 - Weininger, Florian T1 - Erfolgsfaktor Interdisziplinarität: Das Lehrformat Digitalisierungskollegs an Bayerischen Hochschulen T2 - Informatik 2023 : Designing Futures: Zukünfte gestalten ; Tagung vom 26.-29.2023, Berlin N2 - Um den zunehmenden Anforderungen an die Beherrschung digitaler Techniken und an die Fähigkeit zur interdisziplinären Zusammenarbeit an Studierende aller Fachrichtungen zu begegnen wurde das interdisziplinäre Lehrformat Digitalisierungskollegs für Studierende entwickelt. Das in vielen Fachbereichen ausbaufähige Angebot von Digitalthemen in der Hoch- schullehre wird hiermit dauerhaft erweitert. Ein Digitalisierungskolleg besteht aus einer Vorlesungs- reihe mit angrenzendem Seminar, in denen Studierende interdisziplinäre Lösungen für Fragen der digitalen Transformation entwickeln. Geleitet werden sie von etablierten Wissenschaftlerinnen und Wissenschaftlern, aktiv betreut und ausgestaltet von ein bis zwei Coaches. Kernelement sowohl des Kollegs als auch der einzelnen Projekte ist die Interdisziplinarität. Eine*r der beteiligten Projekt- leiter*innen hat einen direkten Bezug zur Technik und kommt aus der Informatik, der Wirtschafts- informatik, der Elektrotechnik oder vergleichbaren Disziplinen. Zielgruppe der Projekte sind Studierende verschiedener Disziplinen im Masterstudium oder in den letzten Semestern eines Bachelorstudiums. Durch die Teilnahme erwerben auch Studierende aus digitalisierungsfernen Fächern frühzeitig umfangreiche IT-Kenntnisse. Als Begleiteffekt der umfangreichen Vernetzung zwischen den Digitalisierungskollegs (Studierende, Coaches und Projektleitende) entsteht bereits zu Beginn einer wissenschaftlichen Karriere eine große digitale Community. Alle Teilnehmenden lernen frühzeitig die interdisziplinäre Zusammenarbeit und verbessern erheblich ihre Karriere- chancen innerhalb und außerhalb der Wissenschaft. KW - Digitalisierung KW - Digitalisierungskompetenz KW - Digitalisierungskollegs KW - Interdisziplinarität Y1 - 2023 SN - 978-3-88579-731-9 U6 - https://doi.org/10.18420/inf2023_22 SN - 1617-5468 SP - 241 EP - 252 PB - Gesellschaft für Informatik e.V. ER - TY - RPRT A1 - Kuhn, Alexander A1 - Franzius, Jan Niklas A1 - Möller, Dennis A1 - Pralle, Norbert A1 - Reich, Franziska A1 - Hellmuth, René A1 - Tombeil, Anne-Sophie A1 - Wenzel, Günter A1 - Linner, Thomas A1 - Schmailzl, Marc T1 - Machbarkeitsstudie für den Aufbau eines Kompetenzzentrums für Baurobotik im Hochbau : Akronym: CONSAS (Construction Assistance Robotics) : innerhalb des Förderschwerpunktes des BMBF "Roboter für Assistenzfunktionen: Interaktion in der Praxis" Phase 1: Machbarkeitsstudie N2 - The overall aim of the project proposal is to develop a systematic, integrative approach for the use of assistance robotics on building construction sites, involving all stakeholders in construction robotics. Y1 - 2022 U6 - https://doi.org/10.2314/KXP:1845903056 N1 - CC BY-ND 3.0 PB - Ed. Züblin AG CY - Stuttgart ER - TY - CHAP A1 - Saffert, Anne-Sophie A1 - Schmailzl, Marc A1 - Spitzhirn, Michael A1 - Linner, Thomas T1 - A Cyber-Physical Toolbox for Teaching Digital Construction – Technical Configuration, Learning Tactics and Hands-On Testing and Evaluation in Dedicated Courses T2 - Learning Factories of the Future, Proceedings of the 14th Conference on Learning Factories 2024, Volume 2 N2 - The construction industry faces substantial economic, environmental, and social challenges. Simultaneously, the industry experiences one of the lowest degrees of digitalization. In this context, cyber-physical education is essential to empower learners with skills to utilize digital and physical solutions more effectively. Therefore, a modular as well as construction specific learning setting was designed. The setting facilitates a range of topics, such as production planning considering human and robot capabilities, (semi-) automated construction machines, robotics, sensing & actuation and more. The digital part of the cyber-physical toolbox consists of various methods and tools to learn programming languages, frameworks, offline simulators, post-processors and more. This step is essential to enable an end-to-end data-/workflow from design (e.g., BIM-based planning methodologies) to (machine-based) production. A focus is given to human-machine/-robot collaboration and appropriate simulation tools (e.g., emaWD) enabling the incorporation of human factors. The physical setting is highly modular, and each device and its periphery can be customized to a broad variety of learning scenarios and levels. This paper describes the details of the learning setting, extracts learning strategies, and analyzes selected learning scenarios and their initial testing in various learning formats. KW - learning setting KW - production planning KW - construction industry KW - human-robot collaboration Y1 - 2024 SN - 9783031653995 U6 - https://doi.org/10.1007/978-3-031-65400-8_10 SN - 2367-3370 SP - 83 EP - 91 PB - Springer Nature CY - Cham ER - TY - CHAP A1 - Eder, Friedrich A1 - Hoeng, Simon Konrad A1 - Schmailzl, Marc A1 - Linner, Thomas A1 - Obergrießer, Mathias T1 - Towards improving data interoperability for the reconstruction of existing buildings T2 - The 20th conference of the International Society for Computing in Civil and Building Engineering (ICCCBE 2024), August 25 to 28, 2024, Montreal N2 - 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. 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. 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. Y1 - 2024 N1 - Conference proceedings erscheinen voraussichtlich bei Springer Nature in der Reihe Lecture Notes in Civil Engineering ER - TY - CHAP A1 - Schmailzl, Marc A1 - Saffert, Anne-Sophie A1 - Karamara, Merve A1 - Linner, Thomas A1 - Eder, Friedrich A1 - Hoeng, Simon Konrad A1 - Obergriesser, Mathias T1 - Enhancing Decision-Making for Human-Centered Construction Robotics: A Methodological Framework T2 - Proceedings of the 41st International Symposium on Automation and Robotics in Construction (ISARC), Lille, France N2 - 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. KW - Decision-Making KW - Framework KW - Workflow KW - AEC Industry KW - Robotics KW - Building Information Modeling (BIM) KW - Human-Centered KW - Motion Capturing Y1 - 2024 SN - 978-0-6458322-1-1 U6 - https://doi.org/10.22260/ISARC2024/0083 SN - 2413-5844 SP - 637 EP - 644 PB - International Association for Automation and Robotics in Construction (IAARC) ER - TY - CHAP A1 - Schmailzl, Marc A1 - Saffert, Anne-Sophie A1 - Karamara, Merve A1 - Linner, Thomas A1 - Eder, Friedrich A1 - Hoeng, Simon Konrad A1 - Obergrießer, Mathias T1 - Enhancing Decision-Making for Human-Centered Construction Robotics: A Methodological Framework T2 - Proceedings of the 41st International Symposium on Automation and Robotics in Construction (ISARC 2024), 2024, Lille, France N2 - 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. Y1 - 2024 SN - 978-0-6458322-1-1 U6 - https://doi.org/10.22260/ISARC2024/0083 SP - 637 EP - 644 PB - IAARC ER - TY - RPRT A1 - Hu, Rongbo A1 - Kabouteh, Amir A1 - Schlandt, Marcel A1 - Güttler, Jörg A1 - Linner, Thomas A1 - Kozak, Dominika A1 - Walter, B. A1 - Schäpers, Barbara A1 - Randriambelonoro, Mirana E. T1 - Partly functional / functional mock-ups and prototypes of Personalised Intelligent Interior Units (PI²Us) BT - Deliverable submitted as part of the EU H2020 research project REACH (Responsive Engagement of the Elderly promoting Activity and Customized Healthcare), Grant Agreement No. 690425 (Report number: REACH2020 Deliverable D24) N2 - This deliverable report examines the outcome of the construction of functional or partly functional prototypes or mock-ups of Personalized Interior Intelligent Environment Units (PI²Us) for demonstration and testing purposes, associated with Task T5.4. The first part of this document will give an overview of the relation of this task to other tasks of WP5, other work packages, and the larger framework of the REACH project. The second part sets out the details of the progressive development from early concepts to the current prototyping stage. Moreover, the subsequent lab-based testing is described in the third part of the report. This includes both already carried out and planned testing activities for either early stage validation or final demonstration in a naturalistic test environment. Finally, part four summarizes the results and puts the different prototypes in perspective to the respective touchpoints and the overall REACH engine functionality. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 690425. Y1 - 2019 UR - https://www.researchgate.net/publication/333324604_Partly_functional_functional_mock-ups_and_prototypes_of_Personalised_Intelligent_Interior_Units_PIUs N1 - REACH2020: Responsive Engagement of the Elderly promoting Activity and Customized Healthcare (Horizon 2020, PHC track) ER - TY - CHAP A1 - Schmailzl, Marc A1 - Linner, Thomas ED - Heese, Carl ED - Schütz, Sandra ED - Obergrießer, Stefanie T1 - ReduSys - Kontaktreduzierte Pflege durch multimodale Systeme, Robotik und digitales Bauen T2 - Die Nachhaltigkeitsziele der UN im Spiegel der Wissenschaft: Beispiele aus der Sozial- und Gesundheitsforschung N2 - Durch die fortschreitende Digitalisierung wird der klinische bzw. pflegerische Kontext zunehmend interdisziplinär. Im Zuge dessen wird die menschzentrierte und zugleich integrative Technologieentwicklung immer wichtiger um adäquate und reflektierte Systemlösungen für die Herausforderungen (z. B. demografischer Wandel, Fachkräftemangel etc.) von heute als auch morgen zu schaffen. In diesem Beitrag wird daher das Forschungsprojekt (BMBF-Projekt) ReduSys (Akronym: Kontaktreduzierte Pflege im klinischen Umfeld durch multimodale Systeme und Robotik) vorgestellt und die sozio-technischen Entwicklungen im Kontext der Nachhaltigkeit erörtert. ReduSys strebt eine ganzheitliche Systemlösung an, welche bestehend aus verschiedenen Technologien (z. B. Sensorik, IoT, Robotik VR etc.) den Übergang von der herkömmlichen zur kontaktreduzierten Pflege (z. B. bei pandemischen Situationen wie der Covid-19 Pandemie) ermöglichen soll. Durch den Technologieeinsatz (z. B. kontaktlos-kontinuierliche Vitalparametererfassung via Medical Smart Bed oder humanoide Robotik via ‚Robody‘ etc.) sollen Pflegekräfte nachhaltig entlastet und gleichzeitig eine bessere Patientenfürsorge gewährleistet werden. In diesem Zusammenhang bildet die Fakultät Bauingenieurwesen mit dem ‚Building Lab/Digitales Bauen‘ an der OTH Regensburg die Schnittstelle zwischen gebauter Umwelt und den eingesetzten digitalen und robotischen Technologien. Darüber hinaus wird der Systemansatz durch die weiteren Projektpartner komplementiert und kontinuierlich praxisnah validiert, um eine möglichst integrative Systemlösung zu gewährleisten. In diesem Beitrag wird auf die Entwicklung digitaler, als auch modularer Technologie als ‚Infill‘ für Gebäude bzw. Möbel seitens der OTH Regensburg eingegangen, um veranschaulichen zu können, wie mit gezielten technologischen Eingriffen ein signifikanter Mehrwert für die klinische bzw. pflegerische Umgebung geschaffen werden kann und simultan Aspekte der ökologischen, sozialen, wie auch wirtschaftlichen Nachhaltigkeit in die technische Entwicklung miteinfließen können KW - Kontaktreduzierte Pflege KW - Multimodale Systeme KW - Robotik KW - Sensorik Y1 - 2025 SN - 978-3-658-43333-8 U6 - https://doi.org/10.1007/978-3-658-43334-5_17 SN - 2731-8834 SP - 301 EP - 316 PB - Springer VS CY - Wiesbaden ER - TY - CHAP A1 - Biersack, Stefan A1 - Schmailzl, Marc A1 - Linner, Thomas A1 - Eder, Friedrich A1 - Obergrießer, Mathias ED - Schermer, Detleff ED - Brehm, Eric T1 - Von der Handarbeit zur Hochtechnologie im Reallabor: Die Möglichkeit der BIM-basierten Planung und effizienten Produktion von Ziegelwänden durch Roboter T2 - Mauerwerk-Kalender 2025 KW - Mauerwerk KW - Mauerwerksbau Y1 - 2025 SN - 978-3-433-03445-3 U6 - https://doi.org/10.1002/9783433612019.ch7 VL - 2025 PB - Ernst & Sohn ET - 1. Aufl ER - TY - RPRT A1 - Seelinger, Anja A1 - Vogt, L. A1 - Linner, Thomas A1 - Güttler, Jörg A1 - Hu, Rongbo A1 - Schlandt, Marcel A1 - Zhao, Charlie A1 - Schäpers, Barbara A1 - Andersen, Henning Boje A1 - Brombacher, A. A1 - Lu, Yuan T1 - Standardization activities BT - Deliverable D38 submitted as part of the EU H2020 research project REACH (Responsive Engagement of the Elderly promoting Activity and Customized Healthcare), Grant Agreement No. 690425 N2 - REACH has the ambition to influence and gain from standardization on national, European, and international level. We aim to create synergies between parallel work on these levels that will finally make a beneficial impact. Systematic parallel and synergeti cwork on these levels allow REACH to create a maximized impact for all involved stakeholders, and in particular, create better health and health care “ecosystems” for potential REACH end users. Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-36227 UR - https://mediatum.ub.tum.de/doc/1545852/863999227343.pdf ER - TY - CHAP A1 - Höng, Simon K. A1 - Wiederer, Jonas A1 - Eder, Friedrich A1 - Obergriesser, Mathias A1 - Linner, Thomas T1 - Towards AI-enhanced facade planning : integrating human expertise with machine learning-driven parametric modeling T2 - EC³ & CIB W78 : 2025 European Conference on Computing in Construction & 42nd CIB W78 IT in Construction Conference N2 - Planning modern facade systems is complex, requiring optimization across multiple domains.This paper proposes an AI-enhanced workflow for facade planning, harnessing computer vision and human input via a Large Language Model.A generative AI system then guides a parametric model to produce 3D facade designs. Automated checks provide feedback to a Reinforcement Learning system, to iteratively determine optimal solutions.These solutions are verified and finalized by human expertise, ensuring improved outcomes with reduce planning time and effort.The approach illustrates how combining advanced AI methods with human expertise can address the multifactorial challenges of facade design within current industry practices. Y1 - 2025 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-84862 SN - 978-9-083451-31-2 SN - 2684-1150 VL - 6 SP - 192 EP - 199 PB - European Council for Computing in Construction ER - TY - CHAP A1 - Saffert, Anne-Sophie A1 - Wiederer, Jonas A1 - Höng, Simon A1 - Linner, Thomas A1 - Obergrießer, Mathias A1 - Neumann, Patrick T1 - Towards AI-based optimization of human-centered and robot-assisted construction processes T2 - Proceedings of the 42nd International Symposium on Automation and Robotics in Construction (ISARC), Montreal, Canada July 28-31, 2025 N2 - This research explores an innovative AI-driven approach to optimizing construction processes with a focus on humancentered design, addressing key challenges in the construction industry, such as skilled labor shortages and ergonomic risks associated withwork-related musculoskeletal disorders. 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 process optimization within simulation environments to rethink existing construction practices, enhance worker well-being, and boost operational productivity. KW - AI-based Learning KW - Simulation KW - Process optimization KW - Human Factors KW - Parametric Design Automation Y1 - 2025 SN - 978-0-6458322-2-8 U6 - https://doi.org/10.22260/ISARC2025/0112 SN - 2413-5844 N1 - Präsentationsvideo: https://www.youtube.com/watch?v=QL-1mIuy-_M SP - 861 EP - 868 PB - IAARC ER - TY - JOUR A1 - Linner, Thomas A1 - de Soto, Borja García A1 - El-Mahdy, Deena A1 - Gonzalez, Vicente A. T1 - Topical collection: robotic solutions for digitally enabled production processes in construction JF - Construction Robotics N2 - Across the global construction sector, a new generation of robotic systems is rapidly entering the market. Solutions for on-site drilling, spraying, masonry, logistics, and finishing are now being piloted at an unprecedented pace. Their deployment in emerging construction robotics hubs in Singapore, Hong Kong, Canada, Dubai, Abu Dhabi, Egypt, Denmark, Switzerland, and Germany demonstrates both the momentum of this technological shift and the considerable challenges that remain. In real-world testing environments, the integration of these robots into digital construction pipelines—particularly BIM-to-robot workflows, semantic task modeling, and robust digital twins—continues to be a bottleneck. These challenges position digitally enabled fabrication and robotics as a priority topic within academia, motivating research on methods, techniques, algorithms, and workflows that can accelerate adoption in construction. This Topical Collection brings together research spanning the emerging landscape of digitally enabled construction robotics. The contributions advance robotic fabrication, from flexible timber processes to innovative formwork, reinforcement, and earth-based additive methods, alongside computer vision, BIM integration, and sensing approaches that improve monitoring and quality assurance. The collection also includes mobile and aerial systems for inspection and mapping to support system autonomy in construction. Together, these works show how integrated perception, planning, and sociotechnical understanding of human–robot collaboration are becoming essential for reliable robotic performance in construction. While current construction robots still focus on simple, structured tasks, the advances in this topical collection point toward a more capable generation. Contributions outline principles for robot-compatible buildings through new fabrication logics and BIM-linked task data, while work on perception, BIM integration, and data fusion reduces interoperability gaps. Research on sensing and adaptive processes supports more consistent workflows, and mobile and aerial robotics provide insights for deployment and site logistics. Collectively, these developments show how digitally enabled production processes can help to overcome key systemic barriers and enable future, scalable construction robotics. Y1 - 2025 U6 - https://doi.org/10.1007/s41693-025-00174-w SN - 2509-811X N1 - Corresponding author der OTH Regensburg: Linner, Thomas VL - 10 PB - Springer ER -