Lukas Schweizer

MSG: Multi-Stream Generative Policies for Sample-Efficient Robotic Manipulation

Generative robot policies such as Flow Matching offer flexible, multi-modal policy learning but are sample-inefficient. Although object-centric policies improve sample efficiency, it does not resolve this limitation. In this work, we propose Multi-Stream Generative Policy (MSG), an inference-time co