Special Session 1: AI for Underwater Unmanned Systems and Marine Intelligence
Authors wishing to submit papers for inclusion in a Special Session must follow the AI4Science 2026 Submission Guidelines for preparing and submitting their papers. To ensure the papers will be included in the Special Session, please make sure you select the desired Special Session name in the Main Research Topic. Special Session papers will be reviewed as other regular conference papers, and those accepted will be included in the conference proceedings.
Chair: Junhong Cui, University of Electronic Science and Technology of China (UESTC), Shenzhen Institute for Advanced Study, China Vice-chairs: Yusha Liu, University of Electronic Science and Technology of China (UESTC), China Lei Wang, Xiamen University, China Tiancheng Huang, University of Electronic Science and Technology of China (UESTC), Shenzhen Institute for Advanced Study, China |
The special session invites submissions addressing (but not limited to) the following areas: Intelligent Perception and Sensing for Underwater Systems Multi-modal underwater perception using sonar, optical, acoustic, and LiDAR sensors Robust underwater object detection, recognition, and tracking Underwater scene understanding and semantic mapping Generative and foundation models for underwater perception
Underwater Communication and Networking Intelligence AI-enhanced underwater acoustic communications Intelligent modulation, coding, and adaptive transmission schemes Machine learning for underwater channel estimation and equalization Underwater optical, acoustic, and hybrid communication systems AI-driven underwater Internet of Things (UIoT) and Internet of Underwater Things (IoUT) Intelligent routing, resource allocation, and network optimization
Underwater Localization, Navigation, and Decision Intelligence Autonomous localization and navigation in GPS-denied underwater environments Simultaneous Localization and Mapping (SLAM) for underwater robots Cooperative localization and navigation for multiple underwater vehicles Integrated navigation using acoustic, inertial, visual, and geomagnetic information Simultaneous localization and communication (SLAC) for underwater systems Intelligent path planning and adaptive mission execution Reinforcement learning for underwater decision making and control
Embodied AI for Underwater Robotic Systems Long-horizon mission planning and autonomous exploration World models and self-supervised learning for underwater robots Embodied reasoning and task execution using foundation models Human-robot interaction and instruction following in underwater environments Multi-agent embodied collaboration for underwater missions
Swarm Intelligence and Cooperative Underwater Systems Distributed intelligence for underwater robot swarms Multi-UUV and UUV-AUV-USV collaborative operations Task allocation and coordination in underwater missions
Trustworthy, Efficient, and Edge AI for Underwater Platforms Lightweight and efficient AI models for embedded underwater systems Safe, robust, and real-time AI for resource-constrained underwater platforms
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