Carol C. Menassa
Papers
41
Total Citations
1,474
H-Index
20
About
Carol C. Menassa is a pioneering researcher at the forefront of human-robot collaboration (HRC) in the construction industry, with transformative contributions to construction robotics, digital twins, and intelligent automation. Her work addresses some of the sector's most pressing challenges — labor shortages, safety risks, and productivity gaps — by developing sophisticated frameworks that enable humans and robots to work synergistically on complex, unstructured job sites. Menassa's most cited work, "Human–Robot Collaboration in Construction: Classification and Research Trends" (2021, 198 citations), established a foundational taxonomy for the field, while her research on process-level digital twins (146 citations) creatively merges human cognitive strengths with robotic precision. Her technical innovations span vision-based pose estimation, autonomous motion planning, learning-from-demonstration systems, and indoor SLAM navigation — collectively accumulating over 800 citations. What distinguishes Menassa's research trajectory is its breadth: from hardware-level robot perception to the human factors governing worker acceptance of robotic assistants, and most recently, the integration of large language models into multimodal VR interfaces for construction robotics. Her body of work has effectively shaped how the construction industry conceptualizes and implements intelligent robotic systems, making her an essential reference for researchers and practitioners entering this rapidly evolving field.
Research Focus
Key Achievements
Top Papers
- 1Human–Robot Collaboration in Construction: Classification and Research Trends198 citations · 2021
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- 10Scene understanding for adaptive manipulation in robotized construction work46 citations · 2017