AI RESEARCH
Learning Transferable Friction Models and LuGre Identification Via Physics-Informed Neural Networks
arXiv CS.LG
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ArXi:2504.12441v2 Announce Type: replace-cross Accurately modeling friction in robotics remains a core challenge, as robotics simulators like MuJoCo and PyBullet use simplified friction models or heuristics to balance computational efficiency with accuracy, where these simplifications and approximations can lead to substantial differences between simulated and physical performance.