Martin Zlatanski

Papers

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About

Martin Zlatanski is a researcher specializing in industrial safety systems, human-robot collaboration, and radar-based sensing technologies. His work addresses one of modern manufacturing's most pressing challenges: enabling productive, safe interaction between humans and robotic machinery without the physical barriers that traditionally limit efficiency. Zlatanski's most influential contribution, "Radar Sensor for Fenceless Machine Guarding and Collaborative Robotics" (2018, 31 citations), introduced radar as a compelling alternative to conventional safety barriers, demonstrating its potential for speed and separation monitoring in compliance with collaborative robotics safety standards. Building on this foundation, his 2019 work on machine perception platforms explored richer sensor fusion approaches, moving beyond the limitations of traditional laser scanners to deliver more comprehensive target information for real-time collision avoidance. His 2020 paper further advanced the concept of radar-based situational awareness, focusing on protecting human workers from close encounters with dangerous machinery in dynamic industrial environments. With a growing citation record across these interconnected works, Zlatanski has established himself as a meaningful voice in industrial safety innovation. His research is particularly valuable for engineers and roboticists seeking practical, standards-compliant solutions for the increasingly collaborative factories of the future.