Underwater Human Robot

Underwater human-robot interaction (UHRI) research focuses on developing autonomous underwater vehicles (AUVs) that can effectively collaborate with human divers, enhancing safety and efficiency in underwater tasks. Current research emphasizes improving communication methods, including gesture recognition (using both vision and audio cues) and diver intention prediction through machine learning models like deep neural networks and variational autoencoders. These advancements are crucial for applications such as underwater search and rescue, marine research, and infrastructure inspection, enabling more complex and robust human-robot teams in challenging aquatic environments.