Smart, Agile and Autonomous Software to Revolutionise Underwater Exploration
We deliver unparalleled precision and reliability in subsea inspections and data analysis.
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We deliver unparalleled precision and reliability in subsea inspections and data analysis.
Contact Us
Frontier Robotics is at the forefront of underwater technology, providing a revolutionary, platform-agnostic system that enhances ROV capabilities. By integrating advanced stereo camera systems with edge computing, we offer unparalleled visual clarity and 3D mapping through SLAM technology. Our autonomy system ensures safe, efficient operations, setting a new standard for asset inspection and marine exploration.
Our vision is to become the default autonomy back-end for underwater inspections, and here's how.
Our platform-agnostic approach ensures easy integration with diverse underwater robots, streamlining data exchange and compatibility
Our system optimises sensor usage for superior mapping and adapts autonomously to improve operational effectiveness and data accuracy.
Our modular design allows for effortless swapping or standalone use of both software and hardware components, adaptable to various data inputs.
Frontier Robotics proudly conducted the first-ever fully autonomous underwater visual inspection of an offshore wind turbine foundation, setting industry benchmarks.
Advanced Imaging at the Core: Our system is anchored by a sophisticated stereo camera system, integrated with on-edge computing, providing the robust foundation for our entire software suite.
Crystal-Clear Visibility: Our image enhancement technology significantly extends visual range, transforming raw image data into vivid, detailed visuals, as showcased in our Dehazing demos and the AUIP overview video.
Precision Mapping: Our SLAM (Simultaneous Localization and Mapping) system skillfully fuses camera images with ROV sensor data, creating accurate and comprehensive environmental maps.
Navigating with Finesse: The auto-pilot feature ensures collision-free navigation while continuously adapting to the environment, as mapped by the SLAM, for optimal perception and path planning.
Collaborative Control: In shared autonomy, the robot proposes actions for operator approval, combining human expertise with robotic precision for enhanced decision-making.
Independent Operation: In full autonomy mode, the robot autonomously makes decisions based on its environment and tasks, showcasing the pinnacle of our system's intelligence and self-sufficiency.
