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Sampling-based lookup algorithms, which make a searchable tree by randomly sampling new nodes or robot configurations within a condition House. Sampling-dependent algorithms is often appropriate for significant-dimensional search spaces such as All those applied to find a legitimate list of configurations to get a robot arm to choose up an object