arxivcs.RO2026-07-06
Efficient Transfer Learning of Robot Dynamic Models Using Morphological Similarity
Pavlo Kupyn, Yuya Hamamatsu, Roza Gkliva, Asko Ristolainen, Maarja Kruusmaa
This study proposes a neural network-based transfer learning framework for modeling the dynamics of soft, fin-actuated underwater robots. We focus on morphologically similar robots that differ in scale and hydrodynamic properties. A model trained on data from a larger robot (sour…