Intuitive BIM-aided robotic navigation and assets localization with semantic user interfaces.

Area of Science:

• Robotics and Automation
• Construction Management
• Geospatial Information Systems

Background:

• Mobile robot deployment in construction faces challenges due to dynamic environments, infrastructure needs, and usability gaps.
• Labor shortages and efficiency demands drive the need for advanced robotic solutions in the construction industry.

Purpose of the Study:

• To introduce a comprehensive, modular robotic platform for construction site navigation and asset localization.
• To address the limitations of current robotic systems in construction by enhancing adaptability and user-friendliness.

Main Methods:

• Development of a modular robotic platform integrating Building Information Modeling (BIM)-based semantic navigation.
• Implementation of active Ultra-Wideband (UWB) beacon tracking for precise equipment detection.
• Creation of a user-centric graphical user interface (GUI) for intuitive operator control.

Main Results:

• Validated through real-world deployments and simulations, the platform demonstrated reliable navigation and high localization accuracy.
• A user study confirmed improved task efficiency and reduced cognitive load for operators using the system.
• The system proved to be scalable and infrastructure-light, suitable for complex construction environments.

Conclusions:

• The proposed robotic platform offers a practical and adaptable solution for construction site automation.
• This work bridges the gap between advanced robotics and field application, promoting user-friendly robotic solutions in construction.
• The findings support the development of more efficient and accessible robotic technologies for the construction sector.