Intelligent and autonomous methods for tracking construction site tasks has the potential to change the way we build. Given the challenges involved, when capturing data often in hazardous working environments, the industry currently finds it hard to consistently record and log progress. To tackle these problems, the aim of the this project is to test the feasibility of semi-autonomous technologies for controlling mobile reality capture systems on a live construction site. When tested on-site, we will show that a trained operator can perform the following features: 

• safely control a ground-based vehicle remotely from another location

• capture data on a construction environment (survey grade 3D information, high-resolution images, live video feeds, multi-spectral sensors)

• set autonomous navigation routines for exploring the robot’s environment that may not be known