Robotics
Monte Carlo Simulation is a computational technique that uses random sampling to obtain numerical results, often applied in scenarios where deterministic solutions are infeasible. By simulating a model multiple times with varying inputs, it provides a probabilistic analysis of the outcomes, making it useful for understanding complex systems and uncertainties, particularly in assessing the workspace and singularities of robotic mechanisms.
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