Scientific Systems Tests AI Autonomy Software with Fleet of Unmanned Boats

Dec 16, 2025
Scientific Systems has completed a maritime trial using its OPTIMUS autonomy software to coordinate nine unmanned surface vessels in autonomous missions, demonstrating decentralized AI control for naval operations.

Scientific Systems announced in a press release that its distributed AI-powered OPTIMUS autonomy software successfully coordinated a fleet of nine unmanned surface vessels (USVs) during a recent ocean test. The demonstration showed the vessels performing collaborative mission activities such as wide-area searches and coordinated intercepts without centralized control.

The weeklong trial validated the system’s ability to enable a group of USVs to operate as an intelligent swarm, dynamically rerouting and avoiding obstacles while executing tasks. The OPTIMUS software integrates real-time sensing, processing, and AI-based decision-making in a fully decentralized framework.

During the test, a single remote operator defined mission parameters, while the vessels autonomously executed coordination and adaptation within the group. This decentralized design allows continued operation even when communications are degraded or lost, increasing resilience and scalability for maritime missions.

The company stated that the software is ready to support large-scale deployment of low-cost autonomous platforms. The test follows the July debut of the VENOM small Unmanned Surface Vehicle family, which integrates the same autonomy stack across multiple vessel models.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Robotics Brief

Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.