Example Concept: In robot navigation, map resolution refers to the granularity of the environmental representation. High-resolution maps capture finer details, which are crucial for tasks requiring precision, such as navigating through cluttered environments. However, they require more processing power and memory. Low-resolution maps simplify the environment, which can speed up computation and is useful in less complex areas, but may miss smaller obstacles, potentially leading to navigation errors.