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The development of robotics in the Architecture, Engineering, and Construction (AEC) industry has emerged in recent years in response to technology advances and industry challenges such as workforce shortages. Construction robotics has the potential to increase construction productivity and accuracy as well as reduce accidents and costs. However, their introduction to construction sites creates new challenges. Previous studies have shown that robots can cause major changes in construction workflow, scope, and methods. Construction robotics introduce key changes to the work process and the sequence of construction tasks. The traditional planning approach for work break down structure and scheduling assigns resources for construction activities based on human labor and craft methods. Despite this, the capabilities of robotics relative to construction resource planning, sequencing, and work scope has not been fully studied. To address this, the implementation of robotics in construction projects needs a new approach to organizing work packages (WP). With the inclusion of robotics as a resource, planning parameters such as methods and sequence will change both the scope and accordingly the work packaging for construction. This paper aims to systematically identify the potential impacts of robots on construction processes, as well as how those changes influences work packaging. The methodology is based on data integration and content analysis from literature review and collected interviews with project participants about real-world construction projects. The paper discusses how construction robots impact the work package approach and categorizes the affected factors. These factors include the work area, sequence and priority of construction activities, safety management, allocation of risk responsibility for tasks, interaction with other trades, and required materials. 

Building Information Modeling (BIM) is a critical data source for constructing new structures depicting the inner workings of the systems and components in detail. However, current modeling practices are based on traditional construction methods, resulting in insufficient details within the BIM model to support robotic construction for many building systems. The model’s level of development (LOD) needs to be increased to facilitate the changes in data requirements. One method that allows for increased LOD is computational modeling; however, many factors can influence the process. Therefore, this study investigates challenges for implementation to increase the LOD for building to enable robotic construction. Dynamo is used as the computational modeling software in conjunction with Autodesk Revit to accomplish this. A process was created to place various components, such as concrete masonry units (CMUs), in their final design location and extract information utilizing these platforms for masonry construction. However, challenges were met during this process, including material naming conventions, tolerance/specification inputs, wall openings/lintels, and component/material libraries. The challenges presented during the implementation of the Dynamo mirror what the literature shows for supporting technological infrastructure BIM and mobile robot construction. To accomplish this research, an extensive literature review was completed, along with documentation of challenges during the development and implementation of the script.