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AntiGrounding: Executable Robot Trajectories as Visual Prompts for VLM-Guided Manipulation
Natural-language instructions specify manipulation goals but leave the robot's motion underdetermined. We present AntiGrounding, a visual action-selection framework built around a dual geometric--visual trajectory interface. Each short trajectory retained after feasibility filtering remains an expli
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