### Survey of Surveys  
In the domain of path planning for AMVs, there has been a large number of review articles. In accordance with the constraints associated with the USV path-planning problem, the work in [13] summarizes the problem models and the corresponding solutions under various modality constraints. In accordance with the extent of environmental awareness, authors in [14; 15] systematically examine the distinguishing features of problem models for global/local path planning and collision avoidance, alongside representative algorithms. In addressing the issue of collision avoidance for USVs, the work in [16; 17] provides a comprehensive overview of the regulations established by the International Maritime Organization (IMO) pertaining to USVs. Furthermore, it systematically discusses collision-avoidance navigation technologies, spanning from academic to industrial perspectives. In consideration of the varying types of AUV missions, work in [18] conducts distinct discussions on the problem models and corresponding algorithmic facets concerning coordinated path planning, cooperative path planning, and formation control. Similarly, work in [19] extensively discusses the issues related to task allocation and path planning for multi-AUVs in underwater search for multiple targets. However, it is clear that despite researchers discussing path planning from different perspectives, such as the availability of environmental knowledge, the number of AMVs, and algorithm types, previous review articles have predominantly portrayed path planning as a point-to-point planning model. This concept has been inherited from traditional robotics and has been studied in the academic community for nearly 60 years, with its formal definition found in [20]. However, the applications of modern marine robots are no longer limited to simple point-to-point movement tasks. For instance, surveying tasks require coverage of an area, sampling/collecting tasks involve accessing multiple locations, and search tasks need to consider the probability of the object's appearance (see Figure 1). This indicates that different types of applications pose unique requirements and constraints for path planning that traditional models did not consider, and this is what we define as mission-oriented path planning (MOPP). The wireless data harvesting discussed in this paper also poses its unique requirements for the path-planning model. For instance, AMVs need to simultaneously perform data collection tasks during motion, involving multiple points of access. Moreover, AMVs need to consider underwater communication mechanisms and energy consumption. These are the factors not accounted for in traditional path-planning models. It is worth highlighting the crucial role that path planning plays within maritime wireless communication systems, where it exerts a profound influence on both communication quality and task efficiency. Nevertheless, despite its evident significance, there is no comprehensive summary or review reported on this unique group of path planning. Motivated by the foregoing discussion, this paper presents the pioneering work on reviewing the application of path-planning techniques in AMV-assisted wireless communication. The logical structure and research questions we investigated are shown in Figure 2. The outline of the salient contributions can be summarized as follows:* This is the first review article on a holistic vision of the path-planning techniques for AMV-assisted oceanic data harvesting missions. Figure 1: Mission types for AMV-assisted maritime applications. Figure 2: Research questions and overview. * An extensive search of existing literature has been undertaken, enabling us to present a general portrayal of the current state of research within the academic community. * Our review encompasses detailed insights into system architectures, problem formulations, objective functions, and the pertinent constraints associated with data harvesting in the marine domain.