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Quadrupeds are becoming increasingly popular in construction engineering research and practice for their affordability and accessibility. These robots navigate uneven terrain commonly found in construction sites, making them suitable vehicles for sensors and monitoring tasks. However, the lack of streamlined and fully developed client-side software packages inhibits rapid deployment of application-specific models to the field. Furthermore, substantial prerequisite knowledge of computer science and programming significantly impedes the ability of non-experts to adapt the robots to specific applications. In this work, we present a comprehensive framework to address these gaps in accessibility, enabling users to customize these robots to their needs. This framework provides a template that facilitates seamless communication between the robotic vehicle, edge devices, sensors, pathfinding algorithms, and a Unity simulation for mission planning and execution. As an example of this framework’s flexibility, we have conducted a case study using this template to demonstrate an application of the framework in the construction domain that performs worker activity recognition and features a novel self-labeling mechanism for construction activity video data. The findings highlight the potential of accessible software tools in expanding the utility of robotic platforms across various engineering domains.