AI RESEARCH
GAF: Gaussian Action Field as a 4D Representation for Dynamic World Modeling in Robotic Manipulation
arXiv CS.CV
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ArXi:2506.14135v5 Announce Type: replace-cross Accurate scene perception is critical for vision-based robotic manipulation. Existing approaches typically follow either a Vision-to-Action (V-A) paradigm, predicting actions directly from visual inputs, or a Vision-to-3D-to-Action (V-3D-A) paradigm, leveraging intermediate 3D representations. However, these methods often struggle with action inaccuracies due to the complexity and dynamic nature of manipulation scenes.