Abstract: Shipborne rotorcraft UAVs (Unmanned Aerial Vehicles), characterized by high maneuverability, vertical take-off and landing capabilities, and superior environmental adaptability, serve as critical platforms for executing high-dynamic collaborative detection missions in complex maritime conditions. Motion planning technology is the core to ensuring high mission effectiveness. This paper first distills key technologies including feasible trajectory modeling under dynamic constraints, complex maritime environment perception, and collaborative localization. Subsequently, the current research status at home and abroad is systematically reviewed and categorized into four major classes: spatial geometric constraint-based path planning, space-time trajectory optimization under differential flatness constraints, learning-driven maneuver decision-making, and multi-UAV collaborative motion planning. The maneuverability and real-time performance of these algorithms are also analyzed and compared. Finally, addressing existing technical bottlenecks, future trends and research directions are proposed, including deep collaboration oriented toward complex shipborne environments, LLM-enabled high-level decision guidance, and end-to-end reactive maneuvering within the embodied intelligence framework, aiming to provide technical references for the autonomous and intelligent development of future shipborne UAV swarms.