Robotik im Stahlbau 4.0: Von der digitalen Planung zu Produktion und Bau

Stumm, Sven; Brell-Çokcan, Sigrid; Feldmann, Markus

doi:10.1002/9783433609873.ch12

Cited by 7 publications

(2 citation statements)

References 44 publications

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“…Further efforts are currently directed at direct usage of recorded kinesthetic teaching data to derive haptic motion primitives. Cobots do allow for motions to be easily recorded and streamed, however, a considerable amount of work needs to go into cleaning of recordings, and relating them to goals the robot is set to complete (Stumm et al 2019).…”

Section: Repetitive Instructions-haptic Programmingmentioning

confidence: 99%

Haptic Learning - Towards Neural-Network-based adaptive Cobot Path-Planning for unstructured spaces

Rossi¹,

Nicholas²

2019

Proceedings of the 37th International Conference on Education and Research in Computer Aided Architectural Design in Europe (eC

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Section: Repetitive Instructions-haptic Programmingmentioning

confidence: 99%

Haptic Learning - Towards Neural-Network-based adaptive Cobot Path-Planning for unstructured spaces

Rossi¹,

Nicholas²

2019

Proceedings of the 37th International Conference on Education and Research in Computer Aided Architectural Design in Europe (eC

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“…Before the introduction of AM, the desire for architectural freedom often conflicted with the economic requirements of a high degree of automation [5,6]. Steel construction, for example, is extraordinarily well suited for use in freely shaped load-bearing structures due to its material properties.…”

Section: Introductionmentioning

confidence: 99%

Experimental Application of Robotic Wire-and-Arc Additive Manufacturing Technique for Strengthening the I-Beam Profiles

et al. 2023

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In recent years, the use of Wire-and-Arc Additive Manufacturing (WAAM) for strengthening standardized steel elements received significant interest within the research community. The reason for this lies in the theoretical potential of WAAM to improve the economic and environmental aspects of contemporary steel construction through efficient material consumption. As efficiency is often obtained through detailed design study, the paper presents a design exploration of suitable stiffener geometries under the assumption of infinite geometrical freedom. The assumption is eventually invalidated as process constraints specific to the generated geometries emerge from test trials. Once identified, process constraints are documented and overcome through adequate and precise path planning. Feasibility analysis is an important step between design and fabrication, especially in the case of large-scale or geometrically complex components. With reference to the case of stiffeners, a feasibility analysis is necessary to take into account the specific geometrical limits of the build volume, which is not typically the case for conventional WAAM fabrication. The current research provides the first investigation to understand the means for future on-site WAAM strengthening of existing steel structural elements.

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Digitale Transformation im Bauwesen – Grundlagen zur künstlichen Intelligenz und deren Anwendung im Wohnungsbau

Kraus¹,

Obergrießer²

2023

2023 Mauerwerk Kalender

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Robotik im Stahlbau 4.0: Von der digitalen Planung zu Produktion und Bau

Cited by 7 publications

References 44 publications

Haptic Learning - Towards Neural-Network-based adaptive Cobot Path-Planning for unstructured spaces

Haptic Learning - Towards Neural-Network-based adaptive Cobot Path-Planning for unstructured spaces

Experimental Application of Robotic Wire-and-Arc Additive Manufacturing Technique for Strengthening the I-Beam Profiles

Digitale Transformation im Bauwesen – Grundlagen zur künstlichen Intelligenz und deren Anwendung im Wohnungsbau

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