Sajad Rajabi

Papers

Total Citations

H-Index

About

Sajad Rajabi is a researcher in advanced manufacturing and robotics, with a primary focus on robotic-assisted machining and process optimization for increased industrial productivity. His most-cited work, "Robotic assisted milling for increased productivity" (2018), has garnered 49 citations, establishing a foundation for integrating robotic systems into traditional milling operations to enhance efficiency and precision. Rajabi’s contributions lie in developing adaptive control strategies and toolpath optimization techniques that reduce cycle times while maintaining surface quality, addressing key challenges in automated manufacturing. His research bridges the gap between robotics and material removal processes, offering practical solutions for high-mix, low-volume production environments. Beyond his cited paper, Rajabi has explored sensor integration and real-time monitoring to improve process reliability, reflecting a commitment to smart manufacturing. With a growing citation impact, his work is increasingly referenced by engineers and academics seeking to leverage robotics for cost-effective, scalable machining. Rajabi’s achievements underscore his role in advancing the next generation of flexible, autonomous manufacturing systems.