Robotics models are digital blueprints or mathematical frameworks that simulate a robot's structure, movement, and decision-making before physical construction. Engineers use them to test control algorithms, predict performance, and refine designs cost-effectively. Manufacturers, researchers, and educators benefit by accelerating prototyping, reducing errors, and teaching automation principles. These models bridge theory and real-world functionality, enabling safer, smarter machines across industries from automotive to healthcare.
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