Certified Coil Geometry Learning for Short-Range Magnetic Actuation and Spacecraft Docking Application

ArXi:2507.03806v3 Announce Type: replace-cross This paper presents a learning-based framework for approximating an exact magnetic-field interaction model, ed by both numerical and experimental validation. High-fidelity magnetic-field interaction modeling is essential for achieving exceptional accuracy and responsiveness across a wide range of fields, including transportation, energy systems, medicine, biomedical robotics, and aerospace robotics. In aerospace engineering, magnetic actuation has been investigated as a fuel-free solution for multi-satellite attitude and formation control.