Orhan Engin

Bielefeld University, Konya Technical University

Papers

Total Citations

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About

Orhan Engin’s research lies at the intersection of autonomous robotics and intelligent manufacturing, with a focus on enabling machines to navigate and operate in complex, unconstrained environments. His most influential work, “Laser-based navigation enhanced with 3D time-of-flight data” (2009, 35 citations), addresses a critical limitation in traditional two-dimensional laser scanning for robotics. By fusing planar laser data with three-dimensional time-of-flight information, Engin developed a robust method for obstacle avoidance and smooth navigation in dynamic, populated spaces like homes. This contribution has been foundational for researchers working on autonomous systems that must safely interact with humans. More recently, Engin has turned his attention to the future of production, analyzing scheduling methods in smart factories. His 2023 study, “Akıllı Fabrikalarda Çizelgeleme Yöntemlerinin Analizi,” systematically reviews optimization techniques for intelligent manufacturing systems, bridging the gap between theoretical scheduling algorithms and practical Industry 4.0 applications. While still early in its impact, this work signals his ongoing commitment to advancing automation. Engin’s career demonstrates a clear trajectory from sensor-based navigation to high-level production planning, making him a versatile contributor to both robotics and manufacturing research.