2 papers
cs.RO2025
Learning Transferable Friction Models and LuGre Identification Via Physics-Informed Neural Networks
Asutay Ozmen, João P. Hespanha, Katie Byl
Accurately modeling friction in robotics remains a core challenge, as robotics simulators like MuJoCo and PyBullet use simplified friction models or heuristics to balance computati…
cs.RO2021
Direct Random Search for Fine Tuning of Deep Reinforcement Learning Policies
Sean Gillen, Asutay Ozmen, Katie Byl
Researchers have demonstrated that Deep Reinforcement Learning (DRL) is a powerful tool for finding policies that perform well on complex robotic systems. However, these policies a…