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About

Emil Imrith is a rising researcher at the forefront of human–robot collaboration (HRC), specializing in safety systems, sensor integration, and privacy-preserving human–robot interaction. His work addresses a critical tension in modern manufacturing: the need for robots to perceive and respond to human workers without compromising their privacy. Imrith’s most-cited paper, “Sensor-Enabled Safety Systems for Human–Robot Collaboration: A Review” (2024, 39 citations), provides a comprehensive scoping review of how sensors—from tactile to vision-based—are embedded into collaborative robots to detect human presence and adjust behavior in real time. This foundational work has become a key reference for researchers designing safer industrial workspaces. In a notable co-design study, Imrith explored improving robot-to-human communication using flexible display technology as a robotic-skin-interface, demonstrating a novel approach to making robot intentions legible to nearby humans. Most recently, he introduced the mmPrivPose3D dataset, leveraging 60 GHz FMCW RaDAR for 3D pose estimation and gesture command recognition. This privacy-compliant alternative to RGB-D cameras addresses growing concerns over visual surveillance in HRC environments. With over 50 total citations and multiple publications in 2024–2025, Imrith is establishing himself as a thoughtful innovator at the intersection of safety, sensing, and ethical design in robotics.