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About

Omar Janeh is a researcher whose work bridges the critical gap between industrial automation and human-robot interaction. His primary research areas include the design and control of automated storage and retrieval systems (AS/RS) and the development of intuitive, socially-aware robotic interfaces. A major contribution is his pioneering application of Failure Mode and Effects Analysis (FMEA) to optimize a novel parallel manipulator-based storage machine, a work that has garnered 20 citations and provided a robust framework for improving system reliability and performance. He further advanced industrial robotics by designing and validating the control architecture for an innovative wire-driven stacker crane, demonstrating a commitment to simulation-based engineering. Demonstrating a versatile research portfolio, Janeh has also made notable contributions to human-robot interaction, exploring proxemics and non-verbal communication. His 2019 study on a mixed-reality avatar robot, which used an arm-swing technique to subtly convey robot velocity, offers a compelling method for enhancing dynamic interaction and safety. With a total of 44 citations across his key works, Omar Janeh is establishing himself as a thoughtful engineer, adept at solving complex problems in both logistics and the nuanced dynamics of human-robot collaboration.