Generic design aided robotically facade pick and place in construction site dataset

Abstract

This Dataset provides a method of optimizing robot arm, facade pick and place locations in the construction site during facade assembly activity using generative design. A set of generative algorithms are provided in the form of graphical algorithm editors. The dataset is divided into three sets, each set controlling an essential subtask of facade assembly in the construction site. the dataset is called (iFOBOT) and consist of the following sub datasets: generative tool for facade population on building envelop (iFOBOT-D), Generative algorithm aided robot spatial location optimizer (iFOBOT-B), and Quantity take-off generative (iFOBOT-L). A sample project associated with its script and outcome results are included in this dataset to guide readers how to use this tool. This dataset only focuses on robot arm and facade module placement in construction sites. This dataset can generate optimized location of robot arm workstation in jobsite while also reducing robot collision with its body and surrounding objects, 2) reducing reachability rate, 3) reducing robot time travel during operation which in result minimize risk in facade assembly and increase productivity. This dataset is in parametric format which makes it reusable with all its history data using the reproducing guide provided here. More details of how to reuse this dataset and developed tool in construction site is covered in Robot-based Facade Spatial Assembly Optimization paper [1] .

Integrated Environmental Design and Robotics Workflow for Double-Skin Facade Perforation Onsite

“…To date, automated modeling methods are used as an effective drafting table edition and not as involved assistance in the design process [18,20]. Although current methods integrate performance input, the use of results-based simulation to inform generic design is only recently successful [17,33]. Although tools for designing complex geometric shapes are now common, there is a lack of intuitive tools that enable designers to design and explore construction processes, particularly robotic solutions, and their highly complex and precise geometric configurations [2].…”

“…Thereafter, the module divides the building envelope into workstations (WS) according to the robot arm safe working space parameters, as depicted in Figure 3 (component c). The workstation script was developed based on the iFOBOT-B dataset [17].…”

“…Building information modeling (BIM) enables the discovery of new forms and multiple design alternatives that are effective for a wide range of pre-and postrationalization design approaches [6,15]. Moreover, simulations help designers formulate informed design decisions by ensuring consistency in the decision-making process for dynamic and synthetic design [17].…”

Double-Skin Facade Perforation Workflow Onsite Using Robot Arm

“…To date, automated modeling methods are used as an effective drafting table edition and not as involved assistance in the design process [18], [20]. Although current methods integrate performance input, the use of results-based simulation to inform generic design is only recently successful [17], [33]. Although tools for designing complex geometric shapes are now common, there is a lack of intuitive tools that enable designers to design and explore construction processes, particularly robotic solutions, and their highly complex and precise geometric configurations [2].…”

“…Building information modeling (BIM) enables the discovery of new forms and multiple design alternatives that are effective for a wide range of pre-and post-rationalization design approaches [6], [15]. Moreover, simulations help designers formulate informed design decisions by ensuring consistency in the decision-making process for dynamic and synthetic design [17].…”