Naqib Daneshjo
Papers
8
Total Citations
78
H-Index
3
About
Naqib Daneshjo is a researcher whose work sits at the intersection of industrial automation, robotics, and smart manufacturing systems. His scholarship spans the evolving landscape of Industry 4.0 and Industry 5.0, with particular focus on intelligent production systems, robotic workstation design, and sustainable industrial development. His most influential contribution, "Sustainable Development of the Intelligent Industry from Industry 4.0 to Industry 5.0" (2022), has garnered 56 citations and examines the trajectory of smart manufacturing while critically identifying limitations in current industrial practices. Beyond macro-level industrial strategy, Daneshjo has made meaningful technical contributions in robotics, including pioneering work on vibrodiagnostics for assessing KUKA industrial robot health, collision-free trajectory planning algorithms, and methodological frameworks for modelling and simulating robotized workstations. His research consistently bridges theoretical methodology with practical application, as demonstrated through his FMEA-based production line automation studies and simulation-driven approaches to robotic system design. With publications spanning manufacturing modernization, safety pathway planning, and production system optimization, Daneshjo has established himself as a versatile and productive voice in applied industrial engineering, offering researchers and students a rich body of work connecting contemporary automation challenges with forward-looking industrial solutions.
Research Focus
Key Achievements
Top Papers
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- 4Non-collision trajectories of service industrial robots3 citations · 2018
- 5Implementation of Simulation in the Design of Robotic Production Systems3 citations · 2022
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- 8PRODUCTION LINE AUTOMATION PROJECT BASED OF FMEA METOD2 citations · 2020