Intelligent Underwater Waste Collection using Advanced Computing and Communication Technologies

The plastics and other wastes have accumulated in the freshwater which has become a threat to the environment and its ecosystem. These plastics and wastes have increased the concern about the damage to the environment and loss in aquatic ecosystems. In recent years, the robotics have evolved and emerged as a promising alternative for the efficient waste detection and collection. This literature review explores the existing methods of underwater waste disposal, underwater robotic solutions, and AI-driven approaches for this solution and also highlights their strengths and limitations. This literature review id and examines the role of Computer Vision, Simultaneous Localization and Mapping, Rapidly Exploring Random Tree-based path planning, and RF communication in modern underwater waste management systems. In addition, it also finds major challenges like limited object classification accuracy, energy power limitation, and navigation in underwater environments. This review defines the research gaps and how an innovative solution, Crabber, solve these challenges by integrating AI-powered waste detection, effective path planning for navigation, and a robotic arm for collecting wastes.