623 citations · 738 across the 15 of their papers we have counts for
3 papers · 1 filter
ConFlow: Constraints-Guided Learning with Flow Matching for Motion Generation
Nutan Chen, Jianxiang Feng, Marvin Alles +1
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 i…
Guided Decoding for Robot On-line Motion Generation and Adaption
Nutan Chen, Botond Cseke, Elie Aljalbout +3
We present a novel motion generation approach for robot arms, with high degrees of freedom, in complex settings that can adapt online to obstacles or new via points. Learning from…
Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation
Felix Frank, Alexandros Paraschos, Patrick van der Smagt +1
Placing robots outside controlled conditions requires versatile movement representations that allow robots to learn new tasks and adapt them to environmental changes. The introduct…