Autonomous Underwater Vehicles
PulseAugur coverage of Autonomous Underwater Vehicles — every cluster mentioning Autonomous Underwater Vehicles across labs, papers, and developer communities, ranked by signal.
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Spiking Neural Networks Offer Energy-Efficient Object Detection for Autonomous Underwater Vehicles
Researchers have developed SpikeYOLO, a novel spiking neural network (SNN) designed for energy-efficient object detection in forward-looking sonar imagery. This approach offers significant energy savings compared to tra…
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New Dynamic SpectraFormer enhances underwater image quality
Researchers have developed a new deep learning model called Dynamic SpectraFormer to enhance the quality of underwater images. This model addresses common issues like color distortion and haze by operating in the freque…
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Robotics survey details advances in coverage path planning
This paper provides a comprehensive survey of coverage path planning (CPP), a fundamental problem in robotics focused on generating robot trajectories for complete workspace coverage. It reviews 125 works published betw…
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AUVs use graph optimization and visual tracking for subsea cable inspection
Researchers have developed a new method for autonomous underwater vehicles (AUVs) to search for and track subsea cables, which are crucial for global communications but vulnerable to damage. The system uses uncertain pr…
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New physics-guided AI enhances underwater vehicle navigation
Researchers have developed DVL-DeepONet, a novel physics-guided deep neural operator framework designed to improve the resilience of underwater navigation systems. This framework addresses challenges faced by Autonomous…
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DRL system enables end-to-end motion planning for underwater vehicles
Researchers have developed an end-to-end deep reinforcement learning system for autonomous underwater vehicles (AUVs) that maps raw sensor data directly to thruster commands. This hierarchical approach splits the task i…
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Multi-Agent RL Maps River Plumes Efficiently
Researchers have developed a novel multi-agent reinforcement learning approach for long-term mapping of river plumes, specifically demonstrated using the Douro River. This method employs a central coordinator that inter…
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China unveils AI underwater robots and robot dogs at defence expo
China showcased advanced military technology at the Chengdu Defence Technology Industry Expo, including AI-enabled underwater mine-neutralizing systems and robotic dogs. The autonomous underwater vehicles, deployable fr…