Generally, an autonomous sailing robot is a novel kind of green ship which exploits wind energy in order to preserve the incessant cruising operations. Here, the path planning issue of autonomous sailing robots is performed by exploiting the adopted “Fractional Rider Optimization Algorithm (FROA)”. The term FROA is the modification of ROA with fractional theory, and the final aim of the adopted model is to set an optimal path for the autonomous sailing robot. Here, an enhanced mathematical technique was exploited to track the navigation control of a sailing ship. By exploiting a downsized prototype, the navigation is examined for an autonomous sailing robot. Here, the proposed method can increase the entire iterative convergence speed as well as minimize the probability that population will reduce to a locally optimal solution. Finally, experimentation outcomes show the effectuality, robustness, and possibility of the proposed FROA model in diverse scenarios. Moreover, this study presents few references and also provides concepts for navigation control model of autonomous sailing robots.
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