Veronika Putz

Papers

Total Citations

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About

Veronika Putz is a researcher at the forefront of human-machine interaction and intelligent industrial automation. Her work bridges the gap between intuitive user control and advanced robotic manufacturing, focusing on two key areas: cyber-physical gesture recognition and automated robotic precision. In her most cited work (2020, 7 citations), Putz pioneered a novel approach to arm gesture recognition by fusing ultrasound and motion data into a body-worn system. This breakthrough offers a more intuitive, contactless method for controlling everything from smartphones and home automation to industrial robots, moving beyond traditional input devices. Complementing this, her 2019 study (5 citations) tackles a critical challenge in automated production lines—specifically, the precise tool alignment of orbital sanding robots for complex geometries like car bodies. By applying a computer vision approach, Putz enables compliant robots to maintain high-quality finishes while achieving time and cost efficiency. Most recently, she introduced "DisDAQ" (2024, 3 citations), a modular, distributed measurement and processing system designed to optimize industrial processes. This system directly addresses modern manufacturing demands for customization, sustainability, and efficiency. Through her innovative integration of sensing, vision, and robotics, Putz is shaping the future of smart, responsive manufacturing environments.