Gerard Taykaldiranian

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About

Gerard Taykaldiranian is a robotics engineer whose work focuses on automating complex, real-world industrial cleaning tasks. His primary research areas include robotic manipulation, force control, and the system-level design of service robots. Taykaldiranian’s most significant contribution is the development of a robotic system for cleaning train cab fronts—a task traditionally performed manually, posing health and safety risks to workers. His 2018 paper, "Automation of Train Cab Front Cleaning With a Robot Manipulator" (25 citations), introduces a novel control and trajectory tracking approach that uses a velocity-controlled manipulator and a force/torque sensor to wipe curved surfaces without requiring a surface model or vision system. This work demonstrates a practical, sensor-driven solution to a challenging contact task. His earlier 2017 paper (11 citations) provides the foundational systems and conceptual design for the same robot, outlining the methodology for addressing the safety issues of manual cleaning. Together, these papers showcase his ability to bridge the gap between theoretical control strategies and deployable robotic systems, making a tangible impact on industrial automation and workplace safety.