Muhammad Owais Tahir
Papers
1
Total Citations
5
H-Index
1
About
Muhammad Owais Tahir is a rising researcher at the forefront of construction robotics and digital twin technologies, with a focus on bridging the gap between building information modeling (BIM) and autonomous systems. His most-cited work, "Intuitive BIM-aided robotic navigation and assets localization with semantic user interfaces" (2025), tackles the critical challenge of deploying mobile robots in dynamic, hazardous construction environments. By integrating BIM with semantic user interfaces, Tahir enables robots to navigate complex job sites and localize assets with unprecedented intuition and accuracy—addressing labor shortages and inefficiencies in project management. This contribution has already garnered 5 citations, signaling its timely impact on the field. Tahir’s research lies at the intersection of human-robot interaction, spatial computing, and construction automation, offering practical solutions for safer, more efficient building processes. His work is particularly notable for its emphasis on user-friendly interfaces that empower non-expert workers to collaborate with robotic systems. As a young scholar, Tahir is quickly establishing himself as a key voice in the next wave of construction innovation, where BIM and robotics converge to reshape the built environment.
Research Focus
Key Achievements
Top Papers
- 1