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Agents using a structured memory framework can achieve significantly better manipulation performance, outperforming traditional methods in task completion and skill generalization.
Achieving superior zero-shot success rates, RelAfford6D redefines robotic manipulation by seamlessly linking abstract instructions to precise physical actions without the need for extensive training.
