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Algorithms in Robotics refer to the systematic, step-by-step procedures for solving problems and accomplishing tasks within the field of robotics. These algorithms are designed to enable robots to perform complex functions such as perception, learning, decision-making, control, and planning. They form the backbone of any robotic system, providing the logic and structure necessary for autonomous operation. The algorithms in this category can range from classical control theory, path planning, motion planning, sensor data fusion, machine learning, computer vision, to natural language processing. They are intertwined with technology and data science as they rely on mathematical models, computational techniques, and large datasets to function effectively. Thus, the Algorithms subcategory under Robotics is a crucial component of the Technology/Data Science/Robotics hierarchy, providing the necessary tools and techniques for building intelligent and autonomous robotic systems that can interact with the physical world in meaningful ways.