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
AAM-SEALS: Developing Aerial-Aquatic Manipulators in SEa, Air, and Land Simulator
William Wang Yang, Karthikeya Kona, Yashveer Jain, Abhinav Bhamidipati, Tomer Atzili, Xiaomin Lin, Yantian Zha
Efficient Feature Mapping Using a Collaborative Team of AUVs
Benjamin Biggs, Daniel J. Stilwell, Harun Yetkin, James McMahon
Dehazing-aided Multi-Rate Multi-Modal Pose Estimation Framework for Mitigating Visual Disturbances in Extreme Underwater Domain
Vidya Sudevan, Fakhreddine Zayer, Taimur Hassan, Sajid Javed, Hamad Karki, Giulia De Masi, Jorge Dias
Hybrid-Neuromorphic Approach for Underwater Robotics Applications: A Conceptual Framework
Vidya Sudevan, Fakhreddine Zayer, Sajid Javed, Hamad Karki, Giulia De Masi, Jorge Dias