S. Hagmann

Papers

Total Citations

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About

S. Hagmann is a researcher whose work sits at the intersection of robotics, neural networks, and real-time control systems. Their primary contributions lie in the development of visually guided robotic systems, specifically focusing on hand-eye coordination using neuro-control techniques. Hagmann’s most cited paper, “Neural network based hand-eye positioning with a Transputer-based system” (1995, 7 citations), demonstrates an early and innovative application of neural networks for precise robotic positioning, leveraging the parallel processing capabilities of Transputer technology. This work, along with the subsequent “A Transputer based visually guided robot system using neuro-control” (2005, 2 citations), showcases a sustained effort to integrate artificial intelligence with hardware-level control for autonomous manipulation. While the citation counts are modest, Hagmann’s research is notable for its pioneering use of Transputers—a now-obsolete but historically significant parallel computing architecture—to achieve real-time visual feedback and control in robotics. This body of work provides a valuable historical perspective on the evolution of neural network-based robotic systems, highlighting the challenges and solutions in early autonomous vision and control.