Jianxiang Feng

ConFlow: Constraints-Guided Learning with Flow Matching for Motion Generation

Nutan Chen, Jianxiang Feng, Marvin Alles, Botond Cseke

In recent years Flow Matching has become a prominent method for generative modeling robot motion generation. In its generic form Flow Matching is an ODE-based neural sampler that is trained by regressing empirical flow fields associated with motion samples as data. However, in ro…Read more