Thorsten Lietmann

Papers

Total Citations

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About

Thorsten Lietmann’s research centers on advancing robotic perception and control, with a particular focus on visual servoing and 3D sensing for autonomous navigation. His major contributions lie in developing innovative methods to integrate depth information from range-image cameras into visual servoing frameworks, enabling non-holonomic mobile robots to navigate more precisely and robustly. In his most cited work, "Visual servoing for a non-holonomic mobile robot using a range-image-camera" (2001, 5 citations), he extended the traditional image-jacobian-matrix approach by incorporating direct distance measurements, allowing for more accurate feature tracking and motion control. His follow-up study, "On the stability of visual servoing using a 3D-camera" (2001, 3 citations), further explored how laser-based 3D cameras—which deliver depth information for each image dot—can enhance robot autonomy and stability. Though his citation counts are modest, these early works were pioneering in demonstrating the practical use of 3D imaging for mobile robot guidance. Lietmann’s research laid groundwork for later advances in sensor fusion and real-time robotic control, making him a notable contributor to the evolution of vision-based autonomous systems.