GAWM: A Compact Latent World-Action Model for Multi-Task Robot Manipulation
World-action models (WAMs) incorporate the prediction of future observations into robot policy learning. However, most WAMs build on billion-parameter vision-language or video-generation backbones, which incur high training cost and inference latency. In this letter, we present GAWM (Geometry-Aware World Model), a comp...
Yang Liu, Xiao-Li Liu, Liu-Zhao Li et al.
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