Agile Robotic Autonomy and Dynamic Sensing for Digital Twins

Synopsis:

Robots in construction have the potential to enhance job site productivity and safety through autonomous and repeatable data capture. Legged robots are bringing physical automation to complex, changing environments like construction sites. Learn how dynamic sensing with agile mobile robots opens up new opportunities and value with digital twin building lifecycle management processes.

Learning Objectives:

1. Formulate business questions that isolate digital twin process components for project implementation
2. Calculate the value of fixed vs. dynamic and manual vs. automated sensing for your job site’s IoT/data capture program
3. Connect Spot data to downstream analysis platforms to convert data into insight

Body:

Robots in construction have the potential to enhance field-oriented workflows, reduce the amount of rework, facilitate on-site tasks, and automate work-in-place reporting. Utilizing robots for routine tasks in hazardous environments such as construction sites can improve safety, efficiency, and data capture consistency. Legged agile mobile robots are making it possible for machines to move through complex, human-purposed environments such as job sites that have been, until now, inhospitable to physical automation. This presentation will provide an industry overview of mobile robotic systems for data capture and surveying tasks in construction. This technical foundation will be used to contextualize the technology within the broader business benefits of data capture and analysis solutions supported by digital twin building lifecycle management processes.