Considering the challenges faced by current global grid-based route planning methods,
including vessel navigability underestimation and high computational demands for fine grid …

Autonomous obstacle avoidance is a critical capability for underwater robots to operate
safely and sustainably in complex, unfamiliar, and unknown underwater environments …

Autonomous collision avoidance decision making for maritime autonomous surface ships
(MASS), as one of the key technologies for MASS autonomous navigation, is a research …

This paper presents a comprehensive review of path planning in dynamic environments.
This review covers the entire process, starting from obstacle detection techniques, through …

Abstract Existing Global Path Planning (GPP) algorithms predominantly presume planning
in static environments. This assumption immensely limits their applications to Unmanned …

Efficient path planning, precise motion control, and reliable autonomous collision avoidance
remain significant challenges for unmanned surface vessels (USVs). Despite notable …

In complex greenhouse orchard environments, reasonable path planning algorithms are
crucial for ensuring efficient and high-quality operation of mobile robots. The unstructured …

Aiming to address the issues of low search efficiency and unsmooth paths in traditional A-
star algorithm for mobile robots global path planning, this paper proposes an improved A …

Path planning is an intertemporal problem in the robotics industry. Over the years, several
algorithms have been proposed to solve it, but weaknesses are constantly identified by …

Path planning and collision avoidance issues are key to the autonomous navigation of
unmanned surface vehicles (USVs). This study proposes an adaptive differential evolution …