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M E 578

MARINE ROBOTICS

3 credits.

Modeling, control, perception, and navigation of autonomous marine robots, including Autonomous Surface Vehicles (ASVs) and Autonomous Underwater Vehicles (AUVs). Core topics include kinematics, dynamics, optimal control, state estimation, perception, communication, and guidance tailored for marine robotic systems. Development and testing of dynamic models, controllers, and perception algorithms on simulated/real marine robot platforms.

Topics

Topics explicitly listed in official catalogue description

Prerequisites & course information

Requisites: M E 446 , M E/E M A 458 , ( M E 340 and M E/E C E 439 ), E C E 332 , 334 , graduate/professional standing, or member of Engineering Guest Students Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2025 Learning Outcomes: 1. Explain the core principles of underwater robotics, including kinematics, dynamics, control, localization, and communication Audience: Both Grad & Undergrad 2. Implement control and perception algorithms for Autonomous Surface Vehicles (ASVs) and Autonomous Underwater Vehicles (AUVs) to achieve specified tasks Audience: Both Grad & Undergrad 3. Execute simulations/experiments with small autonomous robotic systems and analyze the resulting data to evaluate and improve system performance Audience: Both Grad & Undergrad 4. Communicate technical findings about marine systems effectively Audience: Both Grad & Undergrad 5. Assess the environmental and ethical implications of autonomous marine systems Audience: Both Grad & Undergrad 6. Design optimal control systems for marine robots to ensure robust performance in dynamic and disturbed aquatic environments Audience: Graduate Learning Outcomes: 1. Explain the core principles of underwater robotics, including kinematics, dynamics, control, localization, and communication Audience: Both Grad & Undergrad 2. Implement control and perception algorithms for Autonomous Surface Vehicles (ASVs) and Autonomous Underwater Vehicles (AUVs) to achieve specified tasks Audience: Both Grad & Undergrad 3. Execute simulations/experiments with small autonomous robotic systems and analyze the resulting data to evaluate and improve system performance Audience: Both Grad & Undergrad 4. Communicate technical findings about marine systems effectively Audience: Both Grad & Undergrad 5. Assess the environmental and ethical implications of autonomous marine systems Audience: Both Grad & Undergrad 6. Design optimal control systems for marine robots to ensure robust performance in dynamic and disturbed aquatic environments Audience: Graduate

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