PyGemini: Unified Software Development towards Maritime Autonomy Systems

Fuente: arXiv
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Hauptverfasser: Vasstein, Kjetil, Le, Christian, Breivik, Simon Lervåg, Myhr, Trygve Maukon, Stahl, Annette, Brekke, Edmund Førland
Format: Preprint
Veröffentlicht: 2025
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author Vasstein, Kjetil
Le, Christian
Breivik, Simon Lervåg
Myhr, Trygve Maukon
Stahl, Annette
Brekke, Edmund Førland
author_facet Vasstein, Kjetil
Le, Christian
Breivik, Simon Lervåg
Myhr, Trygve Maukon
Stahl, Annette
Brekke, Edmund Førland
contents Ensuring the safety and certifiability of autonomous surface vessels (ASVs) requires robust decision-making systems, supported by extensive simulation, testing, and validation across a broad range of scenarios. However, the current landscape of maritime autonomy development is fragmented -- relying on disparate tools for communication, simulation, monitoring, and system integration -- which hampers interdisciplinary collaboration and inhibits the creation of compelling assurance cases, demanded by insurers and regulatory bodies. Furthermore, these disjointed tools often suffer from performance bottlenecks, vendor lock-in, and limited support for continuous integration workflows. To address these challenges, we introduce PyGemini, a permissively licensed, Python-native framework that builds on the legacy of Autoferry Gemini to unify maritime autonomy development. PyGemini introduces a novel Configuration-Driven Development (CDD) process that fuses Behavior-Driven Development (BDD), data-oriented design, and containerization to support modular, maintainable, and scalable software architectures. The framework functions as a stand-alone application, cloud-based service, or embedded library -- ensuring flexibility across research and operational contexts. We demonstrate its versatility through a suite of maritime tools -- including 3D content generation for simulation and monitoring, scenario generation for autonomy validation and training, and generative artificial intelligence pipelines for augmenting imagery -- thereby offering a scalable, maintainable, and performance-oriented foundation for future maritime robotics and autonomy research.
format Preprint
id arxiv_https___arxiv_org_abs_2506_06262
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle PyGemini: Unified Software Development towards Maritime Autonomy Systems
Vasstein, Kjetil
Le, Christian
Breivik, Simon Lervåg
Myhr, Trygve Maukon
Stahl, Annette
Brekke, Edmund Førland
Robotics
Software Engineering
Systems and Control
D.2.11; I.6.2; I.2.9
Ensuring the safety and certifiability of autonomous surface vessels (ASVs) requires robust decision-making systems, supported by extensive simulation, testing, and validation across a broad range of scenarios. However, the current landscape of maritime autonomy development is fragmented -- relying on disparate tools for communication, simulation, monitoring, and system integration -- which hampers interdisciplinary collaboration and inhibits the creation of compelling assurance cases, demanded by insurers and regulatory bodies. Furthermore, these disjointed tools often suffer from performance bottlenecks, vendor lock-in, and limited support for continuous integration workflows. To address these challenges, we introduce PyGemini, a permissively licensed, Python-native framework that builds on the legacy of Autoferry Gemini to unify maritime autonomy development. PyGemini introduces a novel Configuration-Driven Development (CDD) process that fuses Behavior-Driven Development (BDD), data-oriented design, and containerization to support modular, maintainable, and scalable software architectures. The framework functions as a stand-alone application, cloud-based service, or embedded library -- ensuring flexibility across research and operational contexts. We demonstrate its versatility through a suite of maritime tools -- including 3D content generation for simulation and monitoring, scenario generation for autonomy validation and training, and generative artificial intelligence pipelines for augmenting imagery -- thereby offering a scalable, maintainable, and performance-oriented foundation for future maritime robotics and autonomy research.
title PyGemini: Unified Software Development towards Maritime Autonomy Systems
topic Robotics
Software Engineering
Systems and Control
D.2.11; I.6.2; I.2.9
url https://arxiv.org/abs/2506.06262