Robustness to uncertainties refers to the ability of a system or model to maintain performance and achieve desired outcomes despite variations and unexpected changes in its environment or input parameters. In trajectory generation and smoothing, this concept is crucial as it ensures that planned paths remain viable even when faced with unpredictable factors such as sensor noise, dynamic obstacles, or environmental variations. The focus is on creating solutions that not only optimize performance but also withstand real-world challenges.
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