Nils T. Siebel

Christian-Albrechts-Universität zu Kiel, Institute of Automation

Papers

Total Citations

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About

Nils T. Siebel’s research bridges computer vision, robotics, and evolutionary computation, with a focus on enabling precise, autonomous visuo-motor control. His most influential contribution is a novel method for automatic high-precision self-calibration of camera-robot systems, particularly for eye-in-hand configurations. This work, published in 2009, achieves simultaneous and numerically stable calibration of both intrinsic and extrinsic camera parameters using only the image coordinates of a single point marker—a significant advance for practical robotics. With 12 citations, it remains a key reference in calibration research. Siebel also explores the intersection of neural networks and evolutionary algorithms, demonstrating how evolutionary strategies can efficiently learn neural network structures for visuo-motor control tasks. His 2007 paper on this topic has garnered 10 citations, underscoring its impact. Earlier work includes a comparative study of image-based controllers for semi-autonomous grasping. Through these contributions, Siebel has advanced the field of autonomous robotic manipulation, offering robust, self-calibrating solutions that reduce the need for manual intervention.