Marine Autonomy: Sensing and Undersea Communications

Designing software for autonomous marine vehicles requires a deep understanding of how robots navigate, communicate, and sense in harsh underwater environments. This course introduces you to the core principles of marine autonomy and undersea communication systems without needing expensive hardware or complex field setups. You will gain a solid foundational understanding of how autonomous underwater vehicles make decisions, process sensor data, and coordinate in networks. By studying key algorithmic frameworks, including behavior-based control and acoustic propagation models, you will learn how to conceptualize and design autonomy solutions for marine exploration. What you'll learn: - Understand the fundamental challenges of underwater environments, including acoustic communication limitations and signal attenuation. - Explore decision-making software architectures for marine vessels, focusing on autonomous decision-making and behavior-based control models like MOOS-IvP. - Analyze undersea navigation methods, from dead reckoning and acoustic positioning to modern sensor-fusion techniques. - Configure simulated mission plans using written logic for environmental mapping, search-and-recovery, and collaborative network operations. - Master the integration of acoustic, chemical, and biological sensors into an autonomous decision-making loop. The course begins with foundational oceanographic and acoustic concepts before moving into vehicle autonomy architectures, sensor integration, and simulated multi-vehicle coordination. You will progress through clear text explanations, architectural walk-throughs, and conceptual design exercises. This course is designed for aspiring marine robotics enthusiasts, software developers, and engineering students who want to learn the basics of marine autonomy, with no prior background in ocean engineering required. Start your journey into the world of autonomous ocean exploration today.