Thomas Nierobisch

TU Dortmund University, Information Technology University

Papers

Total Citations

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About

Thomas Nierobisch is a robotics researcher whose work lies at the intersection of computer vision and robotic manipulation, with a particular focus on visual servoing and flexible robot control. His primary contributions center on developing robust visual feedback systems for service robots, enabling them to interact with and manipulate objects in real-world environments. Nierobisch pioneered the use of SIFT (Scale-Invariant Feature Transform) features for visual servoing, creating novel 6 DOF control schemes that allow robots to position their end-effectors for object manipulation even when features are only visible across limited regions of the workspace. His work on "large view visual servoing" addresses the critical challenge of maintaining control when visual features move in and out of the camera's field of view, a fundamental problem in mobile robotics. Beyond vision-based control, Nierobisch has also contributed to the structural design of robots, developing vibration control methods for multi-link flexible arms using Fiber-Bragg-Grating sensors—work that advances lightweight, energy-efficient manipulator design. With over 56 total citations across his most influential papers, his research has helped bridge the gap between theoretical visual servoing and practical service robotics applications.