Mobile robots, including ground robots, underwater robots, and unmanned aerial vehicles,
play an increasingly important role in people's work and lives. Path planning and obstacle …

Self-organised emergent patterns can be widely seen in natural and man-made complex
systems generated by interactions among local components without external or global …

One of the open problems in scientific computing is the long-time integration of nonlinear
stochastic partial differential equations (SPDEs), especially with arbitrary initial data. We …

This paper investigates the path planning problem for unmanned surface vehicle (USV),
wherein the goal is to find the shortest, smoothest, most economical and safest path in the …

This article addresses the tracking control problem of 3-D trajectories for underactuated
underwater robotic vehicles operating in a constrained workspace including obstacles. More …

In this paper, a hybrid Voronoi-based ant colony optimization (V-ACO) technique for multiple
autonomous marine vehicles (AMVs) is proposed to solve adaptive ocean sampling …

Aiming to energy-efficient, short path, and safety, an online dynamic multi-objective path
planning method for the wave glider (WG) is proposed to make the WG operate efficiently in …

This article presents a robust nonlinear model predictive control (NMPC) scheme for
autonomous navigation of underwater robotic vehicles operating in a constrained …

Ocean currents make it difficult for unmanned surface vehicles (USVs) to keep a safe
distance from obstacles. Effective path planning should adequately consider the effect of …

Path planning is particularly important for Autonomous Underwater Vehicles (AUVs) in the
marine environments. Due to the existence of flow fields, many conventional path planning …