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TRACER: Texture-Robust Affordance Chain-of-Thought for Deformable-Object Region Grounding
The central challenge in robotic manipulation of deformable objects lies in aligning high-level semantic instructions with physical interaction points under complex appearance and texture variations. Existing vision-based affordance prediction methods often suffer from boundary overflow and fragment
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