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The study extensively analyzes heuristic search algorithms' performances across various grid conditions, highlighting key factors like grid size, start-to-goal distance, and obstacle density. Findings reveal D* Lite's consistent optimal path generation, ARA*'s stable fast paths, and RTAA*'s agility with obstacle densities, providing valuable insights into algorithmic behaviors in complex environments.