Underwater Robot
Underwater robots are autonomous or remotely operated vehicles designed for exploring, monitoring, and interacting with aquatic environments. Current research emphasizes improving maneuverability and efficiency through innovative designs, such as bio-inspired soft robots and modular systems, alongside advanced control algorithms like deep reinforcement learning and adaptive sliding mode control for precise navigation and manipulation. These advancements are crucial for expanding our understanding of underwater ecosystems, enabling efficient subsea operations (e.g., search and rescue, infrastructure inspection), and facilitating more effective environmental monitoring.
Papers
Two-Channel Extended Kalman Filtering with Intermittent Measurements
Vicu-Mihalis Maer, Zsofia Lendek, Stefan Pirje, Domagoj Tolic, Antun Djuras, Vicko Prkacin, Ivana Palunko, Lucian Busoniu
Underwater Robot Pose Estimation Using Acoustic Methods and Intermittent Position Measurements at the Surface
Vicu-Mihalis Maer, Levente Tamas, Lucian Busoniu
Computational Approaches for Modeling Power Consumption on an Underwater Flapping Fin Propulsion System
Brian Zhou, Jason Geder, Alisha Sharma, Julian Lee, Marius Pruessner, Ravi Ramamurti, Kamal Viswanath
Accelerating Aquatic Soft Robots with Elastic Instability Effects
Zechen Xiong, Jeong Hun Lee, Hod Lipson