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TLC-DiT: Task-Aligned Local Visual Conditioning for Robust Multitask Robot Manipulation
Language-conditioned robot policies have made clear progress in multitask manipulation, but task-relevant local visual evidence usually stays hidden inside a visual backbone or attention layers. This leaves the policy difficult to inspect and fragile under visual change, two symptoms of a missing ex
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