Safety-Critical Guidance of Underactuated Marine Vehicles in Dynamic Environments using Velocity Obstacles <sup>*</sup>

Avoiding collisions is of utmost importance in the control of autonomous marine vehicles. This paper proposes a collision avoidance strategy for marine vehicles with underactuated dynamics, utilizing the framework of Control Barrier Functions (CBFs). Such vehicles are subject to second-order nonholonomic constraints and are required to keep a nonzero forward speed to maintain their maneuverability. These characteristics demand additional considerations compared to holonomic systems and to vehicles capable of stopping and reversing. To address these challenges, we formulate the CBFs based on the velocity obstacle (VO) principle, allowing the vehicle to safely maintain its forward motion while avoiding collisions. The strategy is defined on the guidance level, which is combined with dynamic controllers ensuring tracking of the generated references. We provide safety guarantees for the closed-loop system, and the resulting performance is demonstrated in simulations of an underactuated marine vehicle, displaying adept and secure navigation among multiple dynamic obstacles.

Authors

Institutions

Publication Details

Published
2024-08-21
DOI
https://doi.org/10.1109/ccta60707.2024.10666518
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Safety-Critical Guidance of Underactuated Marine Vehicles in Dynamic Environments using Velocity Obstacles *

Aurora Haraldsen, Martin S. Wiig, Kristin Y. Pettersen
1 citations
Robotic Path Planning Algorithms
0.25
article

Safety-Critical Guidance of Underactuated Marine Vehicles in Dynamic Environments using Velocity Obstacles *

Aurora Haraldsen, Martin S. Wiig, Kristin Y. Pettersen
article en
1 citations

Abstract

Avoiding collisions is of utmost importance in the control of autonomous marine vehicles. This paper proposes a collision avoidance strategy for marine vehicles with underactuated dynamics, utilizing the framework of Control Barrier Functions (CBFs). Such vehicles are subject to second-order nonholonomic constraints and are required to keep a nonzero forward speed to maintain their maneuverability. These characteristics demand additional considerations compared to holonomic systems and to vehicles capable of stopping and reversing. To address these challenges, we formulate the CBFs based on the velocity obstacle (VO) principle, allowing the vehicle to safely maintain its forward motion while avoiding collisions. The strategy is defined on the guidance level, which is combined with dynamic controllers ensuring tracking of the generated references. We provide safety guarantees for the closed-loop system, and the resulting performance is demonstrated in simulations of an underactuated marine vehicle, displaying adept and secure navigation among multiple dynamic obstacles.

Norwegian Defence Research Establishment (NO), Norwegian University of Science and Technology (NO)
Life below water
Openalex Percentile: Top 48%
Robotic Path Planning Algorithms
0.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.