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Boundary Factors for Seamless State Estimation between Autonomous Underwater Docking Phases
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Aerospace, moveability and naval architecture.ORCID iD: 0000-0003-2336-9401
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.ORCID iD: 0000-0002-7796-1438
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Aerospace, moveability and naval architecture.ORCID iD: 0000-0002-2721-0740
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2024 (English)In: 2024 IEEE International Conference on Robotics and Automation (ICRA), Institute of Electrical and Electronics Engineers (IEEE) , 2024Conference paper, Published paper (Refereed)
Abstract [en]

Autonomous underwater docking is of the utmost importance for expanding the capabilities of Autonomous Underwater Vehicles (AUVs). Due to a historical focus on underwater docking to only static targets, the research gap in underwater docking to dynamically active targets has been left relatively untouched. We address the state estimation problem that arises when trying to rendezvous a chaser AUV with a dynamic target by modeling the scenario as a factor graph optimization-based Simultaneous Localization and Mapping problem. We present a set of boundary factors that aid the inference process by seamlessly transitioning the target’s state between the different observability stages, intrinsic to any dynamic docking scenario. We benchmark the performance of our approach using the Stonefish simulated environment.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2024.
National Category
Robotics and automation
Identifiers
URN: urn:nbn:se:kth:diva-365112DOI: 10.1109/ICRA57147.2024.10611552ISI: 001369728001030Scopus ID: 2-s2.0-85202452730OAI: oai:DiVA.org:kth-365112DiVA, id: diva2:1972409
Conference
2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, May 13-17 2024
Funder
Swedish Foundation for Strategic Research
Note

This work was supported by the Stiftelsen för Strategisk Forskning (SSF) through the Swedish Maritime Robotics Centre (SMaRC)(IRC15-0046).

QC 20250701

Available from: 2025-06-18 Created: 2025-06-18 Last updated: 2025-11-17Bibliographically approved
In thesis
1. Relative Navigation for Autonomous Underwater Proximity Operations
Open this publication in new window or tab >>Relative Navigation for Autonomous Underwater Proximity Operations
2025 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis dives into the world of autonomous underwater robotics, specifically oriented at solving the relative navigation problem that arises during an underwater multi-agent proximity operation (prox-op). The present document starts with an introduction to the background theoretical and practical concepts required for the reader to follow the contributions outlined within. We define the concept of proximity operations in the underwater domain and highlight a factor-graph-based robotic state estimation framework used to intuitively model arbitrary prox-ops as Simultaneous Trajectory Estimation and Relative Navigation (STERN) problems. We continue by outlining the attached scientific contributions which carefully address the different elements of the general factor graph representation in a procedural manner: we start by isolating the two navigation-dependent phases of the prox-op and solve them independently; subsequently, we study the full scenario from end to end. The document is redacted such that it provides the story in hindsight surrounding the scientific contributions that are part of this compilation thesis.

Abstract [sv]

Denna avhandling fördjupar sig i världen av autonoma undervattensrobotar, med särskilt fokus på att lösa det relativa navigationsproblemet som uppstår under en undervattensoperation med flera samverkande enheter i närhet (prox-op). Avhandlingen inleds med en introduktion till de teoretiska och praktiska bakgrundskoncept som krävs för att läsaren ska kunna följa de bidrag som presenteras.    Vi definierar begreppet närhetsoperationer inom undervattensdomänen och lyfter fram en faktorgradsbaserad ram för robotars tillståndsuppskattning, som används för att intuitivt modellera godtyckliga prox-ops. Denna ram kallas för Simultaneous Trajectory Estimation and Relative Navigation (STERN). Vi fortsätter med att redogöra för de vetenskapliga bidrag som ingår, vilka metodiskt behandlar de olika elementen i den allmänna faktorgrafsrepresentationen: vi börjar med att isolera de två navigationsberoende faserna i prox-op och löser dem var för sig; därefter studerar vi hela scenariot från början till slut. Avhandlingen är utformat för att i efterhand ge en berättelse kring de vetenskapliga bidragen som ingår i denna sammanläggningsavhandling.

Place, publisher, year, edition, pages
Stockholm, Sweden: KTH Royal Institute of Technology, 2025. p. xxi, 67
Series
TRITA-SCI-FOU ; 2025:70
Keywords
autonomous underwater vehicles, state estimation, proximity operations, underwater navigation, Autonoma undervattensfarkoster, tillståndsuppskattning, närhetsoperationer, undervattensnavigering
National Category
Robotics and automation
Research subject
Vehicle and Maritime Engineering
Identifiers
urn:nbn:se:kth:diva-372996 (URN)978-91-8106-485-8 (ISBN)
Public defence
2025-12-19, https://kth-se.zoom.us/j/67637947676, F3, Lindstedtsvägen 26, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20251119

Available from: 2025-11-17 Created: 2025-11-17 Last updated: 2025-12-02Bibliographically approved

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Terán Espinoza, AldoFolkesson, JohnSigray, PeterKuttenkeuler, Jacob

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