Simulation-based evaluation is a method used to assess the performance and effectiveness of robotic systems through virtual environments before physical testing. This approach allows researchers to analyze the behavior of robots under various conditions, facilitating optimization and refinement without the costs and risks associated with real-world trials. It plays a crucial role in the development and testing of physical evolutionary robotic systems, enabling faster iterations and experimentation with different designs.
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