Human-in-the-loop COLREGs-compliant platoon formation control of maritime autonomous surface ships via finite state machine

This paper investigates the human-in-the-loop platoon formation control problem of maritime autonomous surface ships (MASSs) under the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs). A human-in-the-loop virtual leader is introduced to incorporate supervisory human commands into the platoon navigation, such that human operators can indirectly regulate the sailing speed of the entire MASS platoon through speed inputs. To achieve path following and coordinated platoon formation, a cooperative path-following guidance law based on the line-of-sight method is developed for multiple MASSs along a parameterized path. To ensure safe navigation in compliance with COLREGs, a finite state machine is constructed to identify encounter situations, and safety constraints are formulated using control barrier functions. By solving a quadratic optimization problem, the optimal collision-avoidance surge velocity and yaw rate are obtained, enabling effective obstacle avoidance and collision prevention while preserving platoon navigation performance. Simulation results demonstrate the effectiveness of the proposed approach in achieving human-supervised platoon path following and COLREGs-compliant collision avoidance for MASSs.

Authors

Institutions

Publication Details

Journal
Ocean Engineering
Published
2026-09-18
DOI
https://doi.org/10.1016/j.oceaneng.2026.127727
Primary Topic
Maritime Navigation and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Human-in-the-loop COLREGs-compliant platoon formation control of maritime autonomous surface ships via finite state machine

Zhouhua Peng, Zhijian Sun, Xinwei Liu, Lu Liu et al.
Ocean Engineering
Maritime Navigation and Safety
article

Human-in-the-loop COLREGs-compliant platoon formation control of maritime autonomous surface ships via finite state machine

Zhouhua Peng, Zhijian Sun, Xinwei Liu, Lu Liu, Yuan He
article en

Abstract

This paper investigates the human-in-the-loop platoon formation control problem of maritime autonomous surface ships (MASSs) under the Convention on the International Regulations for Preventing Collisions at Sea (COLREGs). A human-in-the-loop virtual leader is introduced to incorporate supervisory human commands into the platoon navigation, such that human operators can indirectly regulate the sailing speed of the entire MASS platoon through speed inputs. To achieve path following and coordinated platoon formation, a cooperative path-following guidance law based on the line-of-sight method is developed for multiple MASSs along a parameterized path. To ensure safe navigation in compliance with COLREGs, a finite state machine is constructed to identify encounter situations, and safety constraints are formulated using control barrier functions. By solving a quadratic optimization problem, the optimal collision-avoidance surge velocity and yaw rate are obtained, enabling effective obstacle avoidance and collision prevention while preserving platoon navigation performance. Simulation results demonstrate the effectiveness of the proposed approach in achieving human-supervised platoon path following and COLREGs-compliant collision avoidance for MASSs.

Ocean EngineeringVol. 367
Shanghai Jiao Tong University (CN), Dalian University of Technology (CN), Suzhou Industrial Park Vocational Technical College (CN), Dalian Maritime University (CN)
Life below water
Openalex Percentile: Top 15%
Maritime Navigation and Safety
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.

Human-in-the-loop COLREGs-compliant platoon formation control of maritime autonomous surface ships via finite state machine — Zhouhua Peng, Zhijian Sun, et al. · Ocean Engineering (2026) | TGRS Research Map | TGRS