Boris Novakovic

Papers

Total Citations

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About

Boris Novakovic is a researcher whose work focuses on advancing manufacturing flexibility through intelligent automation and adaptable tooling systems. His key research areas include vision-guided robotics, adaptive manufacturing processes, and the development of systems capable of handling part-to-part variation in production environments. Novakovic’s major contribution lies in designing an adaptable tooling system that enables robots to respond dynamically to component inconsistencies, a critical challenge in high-mix, low-volume manufacturing. His most-cited paper, "Design of an adaptable tooling system for part to part variation processing" (2017), has garnered 4 citations and serves as a foundational reference for integrating vision guidance with robotic manipulation to stabilize manufacturing workflows. This work directly addresses industrial needs for robust, flexible production lines, showcasing his ability to bridge theoretical design with practical application. While his citation count reflects a focused, early-career impact, Novakovic’s research is notable for its direct relevance to Industry 4.0 initiatives, where real-time adaptation and precision are paramount. His contributions offer a blueprint for engineers seeking to reduce downtime and improve quality in automated assembly, making his work a valuable resource for students and practitioners exploring the intersection of robotics, computer vision, and adaptive manufacturing.