Papers
2
Total Citations
25
H-Index
2
About
F. Schramm is a leading researcher in the field of visual servoing and robotic control, with a primary focus on developing robust, calibration-free methods for robot guidance. His major contributions center on path planning algorithms for image-based visual servoing (IBVS), addressing a critical limitation of traditional IBVS: its tendency to fail during large camera displacements. Schramm’s innovative work proposes novel trajectory planning that simultaneously ensures visibility of reference points and controls the camera path directly in the image plane, eliminating the need for complex calibration procedures. His 2007 paper, "Calibration Free Image Point Path Planning Simultaneously Ensuring Visibility and Controlling Camera Path," has garnered 19 citations, while his foundational 2005 work, "Calibration free path planning for visual servoing yielding straight line behaviour both in image and work space," with 6 citations, introduced the concept of achieving straight-line behavior in both image and work spaces—a significant advance over conventional methods that often produce mismatched trajectories. Schramm’s research is particularly notable for its practical impact, offering solutions that enhance the reliability and simplicity of robotic visual control systems, making them more accessible for real-world applications.
Research Focus
Key Achievements
Top Papers
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