Navid Kayhani

University of Tehran, University of Toronto

Papers

Total Citations

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About

Navid Kayhani is a construction engineering and robotics researcher whose work bridges advanced automation technologies with practical challenges in industrial and construction environments. His most influential contribution, "Heavy Mobile Crane Lift Path Planning in Congested Modular Industrial Plants Using a Robotics Approach" (2020), has garnered 57 citations and represents a significant advancement in applying robotics-inspired algorithms to one of construction's most complex logistical challenges — safely maneuvering heavy cranes through densely packed industrial facilities. Building on this foundation, Kayhani earlier explored broader applications of collision-free path planning for construction equipment, presented at the prestigious 2018 ISARC conference, demonstrating his consistent focus on constructability analysis and operational safety. His research also extends into emerging technologies, particularly UAV-based indoor localization, where he investigates the practical opportunities and limitations of using unmanned aerial vehicles for automated inspection and progress monitoring on construction sites. Collectively, Kayhani's work reflects a forward-thinking agenda that translates robotics principles into actionable solutions for construction automation — making him a notable voice for researchers and practitioners interested in intelligent construction systems, site safety, and the future of automated project management.