Majid Nasrollahi

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About

Majid Nasrollahi is a researcher at the forefront of integrating building information modeling (BIM) with autonomous robotics for the built environment. His work centers on the development of semantic frameworks and ontologies that enable intelligent robotic navigation and inspection tasks within complex construction and operational settings. Nasrollahi’s most-cited paper, "Ontology for BIM-Based Robotic Navigation and Inspection Tasks" (2024, 8 citations), establishes a foundational data model that bridges the gap between digital building models and physical robotic actions. This contribution directly addresses a critical technological challenge: enabling robots to interpret and act upon rich BIM data for autonomous inspection, thereby improving safety and efficiency in building management. By formalizing the relationship between building components and robotic tasks, his research paves the way for more adaptive and intelligent construction automation. Nasrollahi’s work is particularly notable for its forward-looking approach, tackling the expanding scope of robotic applications in the AEC industry and laying the groundwork for future advancements in digital twin and autonomous system integration.