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Smooth Curve Fitting of Mobile Robot Trajectories using Differential Evolution
2020
IEEE Access
Mobile robots have recently attracted the attention and applicability in field areas ubiquitously. Within the context of autonomous navigation, path planning is relevant for comfortability, safety, execution time and energy savings. In this paper, we propose an approach to suggest smooth paths from observed robot trajectories by optimizing fitting and smoothness criteria using Differential Evolution with distinct modes of initialization, selection pressure, exploration and exploitation. Our
doi:10.1109/access.2020.2991003
fatcat:7po6x37na5bhxgv23x5q5xxfoa