An Agent-based Approach for Modeling Human-robot Collaboration in Bricklaying

Wu, Minghui; Lin, Jia-Rui

doi:10.22260/isarc2020/0110

“…In this section, based on our previous work [37], the main steps of developing the high-fidelity AB model to simulate HRC process in bricklaying will be introduced and discussed. This model thoroughly considered the physical location and detailed behaviors of robots and workers.…”

Section: Development Of the High-fidelity Modelmentioning

confidence: 99%

How human-robot collaboration impacts construction productivity: An agent-based multi-fidelity modeling approach

Wu

¹

,

Lin

²

,

Zhang

³

2022

Advanced Engineering Informatics

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19

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“…While only a small amount of the above-mentioned research addresses the interaction between autonomous robots and human workers, human-robot interaction proves to be detrimental when considering on-site safety (Wu et al 2020). With the prospect of robots in construction, it is recommended to also investigate their social impact since the potential changes to workplaces will require workers to acquire additional skills, competencies and responsibilities (Karl et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Robotic Assembly and Reuse of Modular Elements in the Supply Chain of a Learning Factory for Construction and in the Context of Circular Economy

Teizer,

Hong,

Larsen

et al. 2023

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

0

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Although robotic solutions have been making significant contributions to fabrication environments, implementations in the construction are rare. It seems a disconnect between the industries exists where in construction the high number of non-uniform work tasks, the wide assortment of types and shapes of building materials and elements, and the presence of human workers creating safety hazards make the deployment of rather rigid robotic manipulators on construction sites much more complex than in production-like work environments. To advance construction with robotic solutions, it could prove beneficial to make each sector aware of the barriers that exist, and likewise, introduce a physical space for joint experimentation with state-of-the-art technologies from both fields. One way of alleviating this issue is to connect the sectors by providing hands-on education and research experiences, defined hereby as Learning Factory for Construction (LFC). This paper presents a scaled-down version of a LFC that has a robotic manipulator perform fully-automated and precise assembly, deconstruction, and reuse tasks of modular construction elements, whereas the elements are tracked with fiducial markers according to a known building information model and schedule. Furthermore, the FLC continuously gathers and analyzes data for performance, measures successful completions, assembly times, and potential quality defects. This project involved Masters level students with domain expertise from architectural, civil, and mechanical engineering in a cross-disciplinary and collaborative learning exercise of building a working prototype within a semester-long study project. Beyond the core tasks of the digital design and robotic application, the group developed theoretical concepts and limitations for more holistic views on circular economy, lean production, on- and off-site logistics, modularization, and construction safety, just as expected from a LFC. It is anticipated that the next generation of professionals working in the built environment and intending to solve some of the larger and more complex societal problems will require both the technical and communication skills that a LFC can stimulate. Therefore, LFC is expected to become an important component of active learning environments

show abstract

Robotic Assembly and Reuse of Modular Elements in the Supply Chain of a Learning Factory for Construction and in the Context of Circular Economy

Teizer,

Hong,

Larsen

et al. 2023

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

0

View full text Add to dashboard Cite

Although robotic solutions have been making significant contributions to fabrication environments, implementations in the construction are rare. It seems a disconnect between the industries exists where in construction the high number of non-uniform work tasks, the wide assortment of types and shapes of building materials and elements, and the presence of human workers creating safety hazards make the deployment of rather rigid robotic manipulators on construction sites much more complex than in production-like work environments. To advance construction with robotic solutions, it could prove beneficial to make each sector aware of the barriers that exist, and likewise, introduce a physical space for joint experimentation with state-of-the-art technologies from both fields. One way of alleviating this issue is to connect the sectors by providing hands-on education and research experiences, defined hereby as Learning Factory for Construction (LFC). This paper presents a scaled-down version of a LFC that has a robotic manipulator perform fully-automated and precise assembly, deconstruction, and reuse tasks of modular construction elements, whereas the elements are tracked with fiducial markers according to a known building information model and schedule. Furthermore, the FLC continuously gathers and analyzes data for performance, measures successful completions, assembly times, and potential quality defects. This project involved Masters level students with domain expertise from architectural, civil, and mechanical engineering in a cross-disciplinary and collaborative learning exercise of building a working prototype within a semester-long study project. Beyond the core tasks of the digital design and robotic application, the group developed theoretical concepts and limitations for more holistic views on circular economy, lean production, on- and off-site logistics, modularization, and construction safety, just as expected from a LFC. It is anticipated that the next generation of professionals working in the built environment and intending to solve some of the larger and more complex societal problems will require both the technical and communication skills that a LFC can stimulate. Therefore, LFC is expected to become an important component of active learning environments

show abstract

An Agent-based Approach for Modeling Human-robot Collaboration in Bricklaying

Cited by 3 publications

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How human-robot collaboration impacts construction productivity: An agent-based multi-fidelity modeling approach

How human-robot collaboration impacts construction productivity: An agent-based multi-fidelity modeling approach

Robotic Assembly and Reuse of Modular Elements in the Supply Chain of a Learning Factory for Construction and in the Context of Circular Economy

Robotic Assembly and Reuse of Modular Elements in the Supply Chain of a Learning Factory for Construction and in the Context of Circular Economy

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