Safe and Optimal Motion Planning for Autonomous Underwater Vehicles: A Robust Model Predictive Control Framework Integrating Fast Marching Time Objectives and Adaptive Control Barrier Functions

Autonomous Underwater Vehicles (AUVs) have shown significant promise across various underwater applications, yet face challenges in dynamic environments due to the limitations of traditional motion planning methods while Artificial Potential Field (APF)-based control barrier functions focus solely o...

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Bibliographic Details
Main Authors: Zhonghe Tian, Mingzhi Chen
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Drones
Subjects:
Online Access:https://www.mdpi.com/2504-446X/9/4/273
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