Marine Robotics
Marine robotics focuses on developing autonomous underwater and surface vehicles for diverse applications, including oceanographic research, aquaculture monitoring, and maritime security. Current research emphasizes improving autonomy through advanced control algorithms (like adaptive control and reinforcement learning), efficient task planning using hierarchical methods and natural language interfaces, and robust perception capabilities via multi-modal datasets and deep learning for object detection. These advancements are crucial for expanding the capabilities and reliability of marine robots, enabling more efficient and safer operations in challenging underwater and surface environments.
Papers
Safe Autonomy for Uncrewed Surface Vehicles Using Adaptive Control and Reachability Analysis
Karan Mahesh, Tyler M. Paine, Max L. Greene, Nicholas Rober, Steven Lee, Sildomar T. Monteiro, Anuradha Annaswamy, Michael R. Benjamin, Jonathan P. How
Risk-Averse Planning and Plan Assessment for Marine Robots
Mahya Mohammadi Kashani, Tobias John, Jeremy P. Coffelt, Einar Broch Johnsen, Andrzej Wasowski