AI RESEARCH

STRIDE: Structured Lagrangian and Stochastic Residual Dynamics via Flow Matching

arXiv CS.LG

ArXi:2603.08478v1 Announce Type: cross Robotic systems operating in unstructured environments must operate under significant uncertainty arising from intermittent contacts, frictional variability, and unmodeled compliance. While recent model-free approaches have nstrated impressive performance, many deployment settings still require predictive models that planning, constraint handling, and online adaptation.